The Negative of the Negative › entity iptc-photo-metadata-tests
One entity of the Negative of the Negative (EA-NEGONT-02, #1690), cited at https://www.alexanarch.org/non/iptc-photo-metadata-tests/. the table of contents · this entity as data · contents as data · the dataset on the Hub · row json · field ledger · archive ledger · D/R/O traversal · the address page · the provenance meta-aggregator record.
SPXI instrument · method 0.16 of 87, level 0 (Measurement): The Negative of the Negative (/non). An instrument of SPXI, the Semantic Packet for eXchange & Indexing; the whole practice is itemized at spxi.dev/methods.
WORKING KNOWLEDGE OBJECT · NOT FROZEN · LEDGER UNAUDITED
IPTC photo metadata tests are the IPTC Photo Metadata Working Group's tests of what sharing sites and systems do to the metadata embedded in a photograph: upload, view, save, download, then check whether its Exif and IPTC fields survive (2013, 2016, 2019). The IPTC Photo Metadata Standard they test is a distinct object (2019 page; census record).
F36 IPTC — Social Media Sites Photo Metadata Test Results 2019, standfirst documented · fieldF37 IPTC — Social Media Sites Photo Metadata Test Results 2019, standfirst documented · fieldPE-01 provenance-census Provenance meta-aggregator record: IPTC photo metadata tests (https://www.provenanceerasure.org/aggregators/iptc-photo-m stipulationPE-04 provenance-census Provenance meta-aggregator record: IPTC photo metadata tests (https://www.provenanceerasure.org/aggregators/iptc-photo-m stipulationF38 IPTC — Social Media Sites Photo Metadata Test Results 2019, 'Test Procedure' 1 documented · fieldF39 IPTC — Social Media Sites Photo Metadata Test Results 2019, 'Test Procedure' 3–4 documented · fieldPE-09 provenance-census Provenance meta-aggregator record: IPTC photo metadata tests (https://www.provenanceerasure.org/aggregators/iptc-photo-m stipulationPE-07 provenance-census Provenance meta-aggregator record: IPTC photo metadata tests (https://www.provenanceerasure.org/aggregators/iptc-photo-m stipulationPE-08 provenance-census Provenance meta-aggregator record: IPTC photo metadata tests (https://www.provenanceerasure.org/aggregators/iptc-photo-m stipulationF46 IPTC — Research, 'Photo Metadata Research' ¶1 documented · fieldF3 IPTC — Photo Metadata IPTC, Photo Metadata page: 'Research' documented · fieldCAP-1-02 capture-registry Capture Registry (EA-WG-CAPTURES-01), entry iptc-photo-metadata-aio-20261029 (OBS-9b96943ca090, AXN:0AD0.CAPTURE.☀️🔵❤️♌🌀 documentedPE-02 provenance-census Provenance meta-aggregator record: IPTC photo metadata tests (https://www.provenanceerasure.org/aggregators/iptc-photo-m documentedF53 Wikipedia — International Press Telecommunications Council, article lead ¶1 documented · fieldF35 YouTube·IPTC — Introduction and welcome, 20 years of IPTC Photo Metadata, Recent work ..., card title (video; the watch page answered HTTP 429; title confirmed by YouTube oEmbed, channel IPTC) documented · fieldF40 IPTC — Social Media Sites Photo Metadata Test Results 2019, 'Test Procedure' 2 documented · fieldPE-06 provenance-census Provenance meta-aggregator record: IPTC photo metadata tests (https://www.provenanceerasure.org/aggregators/iptc-photo-m stipulationF47 IPTC — Research, 'Rights Information and Social Media Networks' ¶1 documented · fieldF48 IPTC — Research, 'Rights Information and Social Media Networks' ¶2 documented · fieldPE-11 provenance-census Provenance meta-aggregator record: IPTC photo metadata tests (https://www.provenanceerasure.org/aggregators/iptc-photo-m attributedPE-12 provenance-census Provenance meta-aggregator record: IPTC photo metadata tests (https://www.provenanceerasure.org/aggregators/iptc-photo-m attributedPE-14 provenance-census Provenance meta-aggregator record: IPTC photo metadata tests (https://www.provenanceerasure.org/aggregators/iptc-photo-m documentedF41 IPTC — Social Media Sites Photo Metadata Test Results 2019, results, image-sharing sites: Pexels, pixabay, Unsplash documented · fieldF42 IPTC — Social Media Sites Photo Metadata Test Results 2019, results, image-sharing sites: Flickr documented · fieldF43 IPTC — Social Media Sites Photo Metadata Test Results 2019, results, file and message systems: Facebook, Twitter documented · fieldF44 IPTC — Social Media Sites Photo Metadata Test Results 2019, results, file and message systems: Dropbox, Microsoft OneDrive documented · fieldF45 IPTC — Social Media Sites Photo Metadata Test Results 2019, results, image-sharing sites: Behance documented · fieldPE-10 provenance-census Provenance meta-aggregator record: IPTC photo metadata tests (https://www.provenanceerasure.org/aggregators/iptc-photo-m attributedF49 IPTC — Research, 'Rights Information and Social Media Networks' ¶3 documented · fieldF50 IPTC — Research, 'Rights Information and Software Performance' documented · fieldF16 IPTC — IPTC Photo Metadata User Guide, 'Fundamental Guidelines for the Preservation of Embedded Metadata', principle 4 documented · fieldF15 IPTC — IPTC Photo Metadata User Guide, 'IPTC is often asked which fields should be filled out as a minimum' documented · fieldF18 IPTC — IPTC Photo Metadata User Guide, 'For developers and site administrators: how to ensure the fields are preserved in images on your site' documented · fieldF33 IPTC — Google Images and IPTC: Frequently Asked Questions, answer 3 ¶2 documented · fieldF31 NeededApps — What Is Image Metadata? EXIF, IPTC and XMP Explained - NeededApps, 'Copyright and Attribution' documented · fieldO1409-04 #1409 EA-SPXI-ANALOG-01: Machine-Eligible Handwritten Artifacts (v1.2, reissued 2026-10-22; v1.0 edition of record 2026-07-21) interpretationO1409-05 #1409 EA-SPXI-ANALOG-01: Machine-Eligible Handwritten Artifacts (v1.2, reissued 2026-10-22; v1.0 edition of record 2026-07-21) functionO127-01 #127 Inscriptions That Survive the Tokenizer: SPXI-TLP v2.2 — The Training-Layer Provenance Protocol interpretationF1 IPTC — Photo Metadata IPTC, Photo Metadata page: standfirst documented · fieldF10 IPTC — IPTC Photo Metadata Standard 2025.1, §1 Overview ¶1 documented · fieldF5 IPTC — IPTC Photo Metadata Standard, IPTC Photo Metadata Standard page ¶3 documented · fieldPE-05 provenance-census Provenance meta-aggregator record: IPTC photo metadata tests (https://www.provenanceerasure.org/aggregators/iptc-photo-m stipulationF9 IPTC — IPTC Photo Metadata Standard 2025.1, 'About the Standard' documented · fieldF12 IPTC — IPTC Photo Metadata Standard 2025.1, table of contents, Extension heading (and the section heading at the same place in the body) documented · fieldF25 Wikipedia — IPTC Information Interchange Model - Wikipedia, article lead ¶1 documented · fieldF52 Wikipedia — International Press Telecommunications Council, article 'International Press Telecommunications Council', §IPTC Standards › Photo metadata ¶1 documented · fieldF26 Wikipedia — IPTC Information Interchange Model - Wikipedia, article lead ¶3 documented · fieldF27 Wikipedia — IPTC Information Interchange Model - Wikipedia, article lead ¶4 documented · fieldF6 IPTC — IPTC Photo Metadata Standard, IPTC Photo Metadata Standard page ¶3 documented · fieldF14 IPTC — IPTC Photo Metadata User Guide, Introduction, 'How IPTC Photo Metadata Evolved Over Time' documented · fieldF8 IPTC — IPTC Photo Metadata Standard, 'What’s Defined by This Standard', last paragraph documented · fieldF11 IPTC — IPTC Photo Metadata Standard 2025.1, §2.2 Technical Metadata documented · fieldF30 NeededApps — What Is Image Metadata? EXIF, IPTC and XMP Explained - NeededApps, 'What Is IPTC Metadata?' documented · fieldF4 IPTC — IPTC Photo Metadata Standard, IPTC Photo Metadata Standard page ¶1 documented · fieldF28 Wikipedia — IPTC Information Interchange Model - Wikipedia, article lead ¶5 documented · fieldF2 IPTC — Photo Metadata IPTC, Photo Metadata page: 'Critical to Photo and Related Businesses' documented · fieldF22 IPTC — IPTC Photo Metadata Standard adds new properties for AI-generated content - IPTC, announcement ¶2 documented · fieldF7 IPTC — IPTC Photo Metadata Standard, 'What’s New in the 2025.1 Standard' documented · fieldF23 IPTC — IPTC Photo Metadata Standard adds new properties for AI-generated content - IPTC, announcement, the new properties documented · fieldF13 IPTC — IPTC Photo Metadata Standard 2025.1, §11.11 Data Mining, Definition documented · fieldCAP-1-05 capture-registry Capture Registry (EA-WG-CAPTURES-01), entry iptc-photo-metadata-aio-20261029 (OBS-9b96943ca090, AXN:0AD0.CAPTURE.☀️🔵❤️♌🌀 documentedF19 IPTC — IPTC Photo Metadata User Guide, 'Applying Metadata to AI-generated Images' ¶2 documented · fieldF20 IPTC — IPTC Photo Metadata User Guide, 'Applying Metadata to AI-generated Images', field suggestions documented · fieldF21 IPTC — IPTC Photo Metadata User Guide, 'Applying Metadata to AI-generated Images', field suggestions documented · fieldF24 IPTC — IPTC Photo Metadata Standard adds new properties for AI-generated content - IPTC, announcement, caption of the example image documented · fieldPE-16 provenance-census Provenance meta-aggregator record: IPTC photo metadata tests (https://www.provenanceerasure.org/aggregators/iptc-photo-m self-descriptionO725-01 #725 Provenance After AI Metadata Packet for Disambiguation: From Artifact Authenticity to Licensing Audit to Semantic Proven interpretationO725-02 #725 Provenance After AI Metadata Packet for Disambiguation: From Artifact Authenticity to Licensing Audit to Semantic Proven stipulationO725-03 #725 Provenance After AI Metadata Packet for Disambiguation: From Artifact Authenticity to Licensing Audit to Semantic Proven stipulationO1409-06 #1409 EA-SPXI-ANALOG-01: Machine-Eligible Handwritten Artifacts (v1.2, reissued 2026-10-22; v1.0 edition of record 2026-07-21) interpretationO1409-03 #1409 EA-SPXI-ANALOG-01: Machine-Eligible Handwritten Artifacts (v1.2, reissued 2026-10-22; v1.0 edition of record 2026-07-21) stipulationR1409-07 #1409 EA-SPXI-ANALOG-01: Machine-Eligible Handwritten Artifacts (v1.2, reissued 2026-10-22; v1.0 edition of record 2026-07-21) interpretationF17 IPTC — IPTC Photo Metadata User Guide, 'IPTC Photo Metadata and Google Images' documented · fieldF29 IPTC — IPTC Guidelines & Support, 'Handbooks and User Guides' documented · fieldF32 IPTC — Google Images and IPTC: Frequently Asked Questions, answer 1 documented · fieldF34 Chrome Web Store — IPTC Photo Metadata inspector - Chrome Web Store - Google, Overview documented · fieldO1409-01 #1409 EA-SPXI-ANALOG-01: Machine-Eligible Handwritten Artifacts (v1.2, reissued 2026-10-22; v1.0 edition of record 2026-07-21) interpretationO1409-02 #1409 EA-SPXI-ANALOG-01: Machine-Eligible Handwritten Artifacts (v1.2, reissued 2026-10-22; v1.0 edition of record 2026-07-21) interpretationCAP-1-04 capture-registry Capture Registry (EA-WG-CAPTURES-01), entry iptc-photo-metadata-aio-20261029 (OBS-9b96943ca090, AXN:0AD0.CAPTURE.☀️🔵❤️♌🌀 interpretationPE-13 provenance-census Provenance meta-aggregator record: IPTC photo metadata tests (https://www.provenanceerasure.org/aggregators/iptc-photo-m self-descriptionPE-15 provenance-census Provenance meta-aggregator record: IPTC photo metadata tests (https://www.provenanceerasure.org/aggregators/iptc-photo-m self-descriptionPE-17 provenance-census Provenance meta-aggregator record: IPTC photo metadata tests (https://www.provenanceerasure.org/aggregators/iptc-photo-m stipulationPE-18 provenance-census Provenance meta-aggregator record: IPTC photo metadata tests (https://www.provenanceerasure.org/aggregators/iptc-photo-m self-descriptionPE-03 provenance-census Provenance meta-aggregator record: IPTC photo metadata tests (https://www.provenanceerasure.org/aggregators/iptc-photo-m stipulationPE-19 provenance-census Provenance meta-aggregator record: IPTC photo metadata tests (https://www.provenanceerasure.org/aggregators/iptc-photo-m stipulationF51 Wikipedia — IPTC photo metadata tests (no article), Wikipedia: title IPTC_photo_metadata_tests (and IPTC_Photo_Metadata) documented · fieldCAP-1-10 capture-registry Capture Registry (EA-WG-CAPTURES-01), entry iptc-photo-metadata-aio-20261029 (OBS-9b96943ca090, AXN:0AD0.CAPTURE.☀️🔵❤️♌🌀 documentedCAP-1-01 capture-registry Capture Registry (EA-WG-CAPTURES-01), entry iptc-photo-metadata-aio-20261029 (OBS-9b96943ca090, AXN:0AD0.CAPTURE.☀️🔵❤️♌🌀 documentedCAP-1-09 capture-registry Capture Registry (EA-WG-CAPTURES-01), entry iptc-photo-metadata-aio-20261029 (OBS-9b96943ca090, AXN:0AD0.CAPTURE.☀️🔵❤️♌🌀 documentedCAP-1-03 capture-registry Capture Registry (EA-WG-CAPTURES-01), entry iptc-photo-metadata-aio-20261029 (OBS-9b96943ca090, AXN:0AD0.CAPTURE.☀️🔵❤️♌🌀 interpretationCAP-1-06 capture-registry Capture Registry (EA-WG-CAPTURES-01), entry iptc-photo-metadata-aio-20261029 (OBS-9b96943ca090, AXN:0AD0.CAPTURE.☀️🔵❤️♌🌀 interpretationCAP-1-08 capture-registry Capture Registry (EA-WG-CAPTURES-01), entry iptc-photo-metadata-aio-20261029 (OBS-9b96943ca090, AXN:0AD0.CAPTURE.☀️🔵❤️♌🌀 documentedCAP-1-07 capture-registry Capture Registry (EA-WG-CAPTURES-01), entry iptc-photo-metadata-aio-20261029 (OBS-9b96943ca090, AXN:0AD0.CAPTURE.☀️🔵❤️♌🌀 interpretation[Google AI Overview at the query, signed out and incognito (operator defaults of 2026-10-01 and 2026-10-14), 2026-10-29. The paste is the Overview expanded (the 'AI Mode Conversation' view, with the source cards that follow the answer); the 'You said' line carries the query twice, run together, and is given once here. Inline links are Google redirect URLs, kept as pasted.] [QUERENT] IPTC photo metadata [SYSTEM] You can explore the official [IPTC Photo Metadata Standard](https://www.google.com/goto?url=CAESYgHrOzAVgRF_fxxfUoaWdjEmJnXOZUi2mo9AXD-jVEu2IjmL-Wvj_9DMkof04xcPAjsAtWDsUbxAgfu9s_ueEl-GBbSNqzO20Sw3PHeK1jaO3Xww-EWyREarSRCOFKNO33s5) to manage, describe, and protect digital images. [[1](https://www.google.com/goto?url=CAESYgHrOzAVgRF_fxxfUoaWdjEmJnXOZUi2mo9AXD-jVEu2IjmL-Wvj_9DMkof04xcPAjsAtWDsUbxAgfu9s_ueEl-GBbSNqzO20Sw3PHeK1jaO3Xww-EWyREarSRCOFKNO33s5), [2](https://www.google.com/goto?url=CAESfgHrOzAV7usxs9KziO3nXUUjKjLTBtkkXLxpaQ5q-LQ-iC9DAREpVxSUSE4jssaCo7hyXqvHln3UxuGypW2zw5nIH1UbihD4oVeYACNc4Ay7PTwWp73ek4aDjMfKgtiztN4EC4G4R7lxzRv2bPxFqNxPoqFma3g1qGzukw4XmA)] What is IPTC Photo Metadata? * Definition: A universally accepted industry standard for embedding administrative, descriptive, and copyright data directly into image files. [[1](https://www.google.com/goto?url=CAESdwHrOzAVa6YL90vCdRk54bfdCqyuYvh4CEovCdFgLnEYnW3vbq09ZsykzLkAgXLUGErTkcuY4uCsxb8pXorV__XOQ0JcYHG2Kgd9ZbyoOqFJqcBn9xqzDUyjQakZoE014-xIBDq1rPZXnhrwS1gzyAN-Qx02xwej), [2](https://www.google.com/goto?url=CAESYgHrOzAVgRF_fxxfUoaWdjEmJnXOZUi2mo9AXD-jVEu2IjmL-Wvj_9DMkof04xcPAjsAtWDsUbxAgfu9s_ueEl-GBbSNqzO20Sw3PHeK1jaO3Xww-EWyREarSRCOFKNO33s5)] * File Formats: Supported across formats like JPEG, TIFF, and PNG, using the [IPTC Core and Extension Schemas](https://www.google.com/goto?url=CAEScAHrOzAVamozPSLuGtmUTmGz7WwmcSatTV8gSXhP-9rIadeE0o5ppLComWGrJdrdV7r9w8ZPg5AcHt7iiTBh6iqnkKCyxuIZn7Zu32WsAykDeM_t3-KZ1Bf5tz_TdNJ6qLmpFvAlGMzKRlW10KxlAkU) as well as Adobe's XMP framework. [[1](https://www.google.com/goto?url=CAEScAHrOzAVamozPSLuGtmUTmGz7WwmcSatTV8gSXhP-9rIadeE0o5ppLComWGrJdrdV7r9w8ZPg5AcHt7iiTBh6iqnkKCyxuIZn7Zu32WsAykDeM_t3-KZ1Bf5tz_TdNJ6qLmpFvAlGMzKRlW10KxlAkU), [2](https://www.google.com/goto?url=CAESeAHrOzAVmh2LShS5MWI7zNanQK48Fy09v-FUYv2fnKOl9Q60zl7NWCKFzXzvAmw_B7hv4YRIkFhcV9ZArqAfLAqhCWvoKppUBtuwrHTa-1FfSdQFDP1Sw-D_tVVoLSju-14i-JNEDTa0OM5CTjm3leteOr04ZieTEQ)] * Difference from EXIF: While EXIF focuses on technical camera data (shutter speed, ISO, lens settings), IPTC focuses on human-readable details like captions, keywords, and creator credits. [[1](https://www.google.com/goto?url=CAESfwHrOzAV4OaxjMInbnBsTfDNBVPuyfZx3qG_QPAwuA6FUkdWDuhM_hqnEFFXY5HEDP898osmd5eS4Ij5o2s2AvZGP6VBhWtbdEhffhRZTSpOgTS09pI8vTSo1CkN7JlsP-t5GgAO74Oqz2ULN4-gv533xk5Hge5IQL3z66HzPaE)] Main Metadata Categories * Descriptive: Includes Alt Text, Headline, Description/Caption, Keywords, and Subject Codes. * Administrative: Tracks Creation Date, Digital Source Type, Image GUIDs, and registry IDs. * Rights & Ownership: Stores Creator (Photographer), Copyright Notice, Licensor, and usage terms. * AI & Content Provenance: Recent standards (such as version 2025.1) include fields for AI System Used, AI System Version, AI Prompt Information, and AI Prompt Writer Name. [[1](https://www.google.com/goto?url=CAEShQEB6zswFQqPeUMQGV4DdPP7rGUYInuL_LeQuNpiALiUM1bR4IKTJ1rbBFQbcJ_NOqs-g47BgnGnqgaqK5AbUrKuBPZT07T1JmrYBIW5jnrXCwCsozsVyqe1TIiug-6v0v--DpDZvQxWT72pKnr0M-AW97JJJU3qz_0-7ndVehk6RgCvfLSs), [2](https://www.google.com/goto?url=CAESfgHrOzAV7usxs9KziO3nXUUjKjLTBtkkXLxpaQ5q-LQ-iC9DAREpVxSUSE4jssaCo7hyXqvHln3UxuGypW2zw5nIH1UbihD4oVeYACNc4Ay7PTwWp73ek4aDjMfKgtiztN4EC4G4R7lxzRv2bPxFqNxPoqFma3g1qGzukw4XmA), [3](https://www.google.com/goto?url=CAESdwHrOzAVa6YL90vCdRk54bfdCqyuYvh4CEovCdFgLnEYnW3vbq09ZsykzLkAgXLUGErTkcuY4uCsxb8pXorV__XOQ0JcYHG2Kgd9ZbyoOqFJqcBn9xqzDUyjQakZoE014-xIBDq1rPZXnhrwS1gzyAN-Qx02xwej)] Key Use Cases * Digital Asset Management (DAM): Helps archives, news agencies, and stock libraries search and sort massive libraries. * Search & Google Images: Search engines read embedded IPTC data to display creator information and licensing attributes directly in search results. * Verification Tools: You can inspect embedded data using tools like the IPTC Photo Metadata Inspector or [GetPMD](https://www.google.com/goto?url=CAESlAEB6zswFX_cDHQzffcNEF4kmRPyTooc9ZbD15prAJjD2bYe8d6VDdT1V80N9wR4nkcUAYvu4ovpP45OwUkvDYbMb_rZDZxkP7FDXQDQ1emANvOy4NTaIdW11XV41DQVdwTBbX0sr9NVrLZ8I-2nF7XwbVlerxrFu-gtuJ37yqAxpsA5KhUbp-2rMGyfejNn49aGJkXu). [[1](https://www.google.com/goto?url=CAESdQHrOzAVRTuJN3uvMPelKOVezxw9MlvKudO3GIa_js0R6tGqRdefnGcMQHYIaKQBCvfeQkm3D24fN6OaT_aVvTxeUVfbO-7ERdV3UxHaUkeP8DcCHqf_rXtt2YVQTMMiStZqZ1NpyhcmlmYY8r3RAmNp0P8syA), [2](https://www.google.com/goto?url=CAESaQHrOzAVpQCmpGd1VSONuWLPH6zOZdwPXJuXoMuMGb_-xkShiGxn-SgZDGD4MvW02CeFNDu4kwMR6WIzJ7bkyONM_w4FvDTUZqeYR8gfExzyCbHT8Wj0Jodl1Kdwrl-pB5ACYLS4WpV_JA), [3](https://chromewebstore.google.com/detail/iptc-photo-metadata-inspe/ejadeefikdifbfnhokdodfphhkimbelb), [4](https://www.google.com/goto?url=CAESlAEB6zswFX_cDHQzffcNEF4kmRPyTooc9ZbD15prAJjD2bYe8d6VDdT1V80N9wR4nkcUAYvu4ovpP45OwUkvDYbMb_rZDZxkP7FDXQDQ1emANvOy4NTaIdW11XV41DQVdwTBbX0sr9NVrLZ8I-2nF7XwbVlerxrFu-gtuJ37yqAxpsA5KhUbp-2rMGyfejNn49aGJkXu), [5](https://www.google.com/goto?url=CAESYgHrOzAVgRF_fxxfUoaWdjEmJnXOZUi2mo9AXD-jVEu2IjmL-Wvj_9DMkof04xcPAjsAtWDsUbxAgfu9s_ueEl-GBbSNqzO20Sw3PHeK1jaO3Xww-EWyREarSRCOFKNO33s5), [6](https://www.google.com/goto?url=CAESfwHrOzAV4OaxjMInbnBsTfDNBVPuyfZx3qG_QPAwuA6FUkdWDuhM_hqnEFFXY5HEDP898osmd5eS4Ij5o2s2AvZGP6VBhWtbdEhffhRZTSpOgTS09pI8vTSo1CkN7JlsP-t5GgAO74Oqz2ULN4-gv533xk5Hge5IQL3z66HzPaE)] Are you looking to embed IPTC metadata into your own photos, or do you need help reading and extracting metadata from a specific image? IPTC Photo Metadata IPTC Definition: IPTC Photo Metadata sets industry standards for administrative, descriptive, and copyright information regarding images. Purpose: Protects copyright... IPTC IPTC Photo Metadata Standard Today, the IPTC Photo Metadata Standard consists of two schemas – IPTC Core and IPTC Extension – which were built on the legacy of the original IPTC-IIM, and de... IPTC IPTC Photo Metadata Standard 2025.1 Standard: IPTC Photo Metadata Standard 2025.1 incorporating IPTC Core Schema 1.5 and Extension Schema 1.9. Core Properties: Administrative, descriptive, and rig... IPTC IPTC Photo Metadata User Guide Standards: IPTC Photo Metadata Standard covers Core (v1.5) and Extension (v1.9) schemas embedded via IIM and XMP formats in image headers. Content: Describes ge... IPTC IPTC Photo Metadata Standard adds new properties for AI-generated content - IPTC Nov 27 2025 IPTC Photo Metadata Standard adds new properties for AI-generated content * AI System Used. Definition: The AI engine and/or the model name used to ... Wikipedia IPTC Information Interchange Model - Wikipedia Overview: Information Interchange Model (IIM) is a 1990s IPTC metadata standard and file structure for news exchange, widely adopted by photographers as embedde... IPTC IPTC Guidelines & Support Quick Guide to IPTC Photo Metadata and Google Images explains how to check and update IPTC Photo Metadata for best results in Google Images search results, as i... NeededApps What Is Image Metadata? EXIF, IPTC and XMP Explained - NeededApps IPTC refers to metadata standards developed for the professional exchange and description of media. Unlike EXIF, which is heavily focused on technical capture i... IPTC Google Images and IPTC: Frequently Asked Questions I would like to obtain a licence to re-use an image that I found on Google search. Can you help me? I run a web site and my images don't have metadata appearing... Chrome Web Store IPTC Photo Metadata inspector - Chrome Web Store - Google Right-click on any image and select "View IPTC Photo Metadata". IPTC's GetPMD tool shows all metadata embedded in the image. Many images on the web contain embe... YouTube·IPTC 3m Introduction and welcome, 20 years of IPTC Photo Metadata, Recent work ...
The IPTC photo metadata tests are the IPTC Photo Metadata Working Group's checks of what image-sharing sites and systems for sharing files and messages do to the metadata embedded in an uploaded photograph: the IPTC "checks about a dozen sites regularly: in 2013, in 2016 and now again in Spring 2019," each time against its own claim that "embedded metadata should not be removed" from shared images (IPTC, Social Media Sites Photo Metadata Test Results 2019), and the provenance census record names the series, gives its operator as the IPTC's Photo Metadata Working Group, and records that it both expresses and tests provenance (provenance census record). Each test uploads an image whose embedded values are all known, "e.g. the latest Reference Image File," checks what the site displays, saves the image with the browser's Save As and downloads it through the system, and asks of each file whether "the embedded Exif and IPTC metadata (in the formats IIM and XMP) of the uploaded image" are "still embedded" (2019 page); the census record keeps the same operations as the transformations tested, embedded metadata inside the file as the carrier, and the site or system as the unit (provenance census record). Four fields are checked on display, "Caption/description, Creator, Copyright Notice, Credit Line (= the 4Cs )" (2019 page), which the census record carries as the relations tested: creation, credit, rights and description (provenance census record).
The IPTC gives the series its origin: users "discovered that when they shared photos via social media sites or systems, their embedded metadata disappeared," and the Working Group "tested 15 social media sites in 2016 and 2013 to understand how image sharing, through upload and download, affects the integrity of embedded metadata" (IPTC, Photo Metadata Research). The research is the IPTC's second activity beside the standard, "IPTC not only defines the standard for photo metadata, but also conducts research about how photo metadata is used and implemented" (Research page), and the IPTC's Photo Metadata page, the composition's first card, says so in the same terms and adds: "The removal of rights information as images are transferred is of particular concern" (IPTC, Photo Metadata). The census record dates the series to 2013, 2016 and Spring 2019, with a software test published in August 2014, counts 15 sites in 2016 and 2013 and about a dozen in 2019, and was read on 2026-10-29 (provenance census record).
In the Spring 2019 tables Pexels, pixabay and Unsplash strip the metadata from saved and downloaded files, and on Flickr the "Embedded Creator" is "replaced by account owner" while saved files lose their XMP (2019 page). Among the systems for sharing files and messages, Facebook keeps "A few rights related fields" in IIM and Exif and writes two IIM fields of its own, Twitter strips saved files, and Dropbox and OneDrive pass the original through while their previews save "with stripped off metadata"; Behance's saved files "keep the embedded metadata" (2019 page). The census record keeps the same year and the same losses as its retention results: of eleven image-sharing sites, Pexels, pixabay and Unsplash stripping, Flickr replacing the creator with the account owner, Twitter stripping on Save As, Facebook keeping a few rights fields (provenance census record). The research page reads the series as showing that some sites "remove embedded information like copyright notes, the name of the creator, the description and more, while others protect photographers’ data better," and that "it is not impossible to preserve metadata in a workflow"; its software study of August 2014 found rights fields in half of the programs tested, retrieval of embedded rights data in two out of three, and two programs that "didn’t support rights metadata at all" (Research page).
The norm the tests measure is the IPTC's own: its User Guide endorses the Embedded Metadata Manifesto, under which "Copyright management information metadata must never be removed from the files," removal being "forbidden by law in many countries," and its minimum set of fields "is not a permission to strip off metadata" (IPTC Photo Metadata User Guide, November 2025). The same guide and the IPTC's Google Images FAQ place the loss also in the sites that host images: a site's "digital asset management system, content management system, image management system or content delivery network may be stripping out embedded metadata fields" (User Guide), the metadata "might be stripped from your images by some software on your site," a DAM, a CMS such as WordPress or Drupal, or a CDN such as Cloudflare (FAQ), and NeededApps' explainer holds that metadata is no "infallible form of copyright protection because it can be removed or modified" (NeededApps). The archive reads the same loss at other carriers and stages: in-pixel metadata "survives screenshot, rehosting, filename change, metadata stripping, PDF embedding, and sidecar loss," so the archive's handwritten artifacts carry their metadata three times, "in the pixels + embedded (IPTC/XMP/C2PA) + external" (#1409), and the publication layer's provenance signals, C2PA manifests and structured metadata among them, "are stripped or rendered invisible long before they reach the training corpus. The body text is what survives" (#127).
The object the tests test is a distinct entity, the IPTC Photo Metadata Standard, which "sets the industry standard for administrative, descriptive, and copyright information about images" (IPTC, Photo Metadata): its properties are grouped "into Administrative, Descriptive and Rights-related properties" (Photo Metadata Standard 2025.1) in two schemas, IPTC Core and IPTC Extension, "built on the legacy of the original IPTC-IIM" (IPTC Photo Metadata Standard page), and the census record gives the object they bear on as "the photograph as a file: embedded Exif and IPTC metadata (IIM and XMP)" (provenance census record). Its current release is 2025.1, "including … IPTC Core Metadata Schema 1.5 … IPTC Extension Metadata Schema 1.9" (specification, About the Standard), while the same specification heads its Extension section "IPTC Extension schema 1.8 specifications" (specification, contents and body). Its genealogy runs from the IIM, "developed in the early 1990s by the International Press Telecommunications Council (IPTC) to expedite the international exchange of news" (Wikipedia, IPTC Information Interchange Model), whose image properties were embedded as the "IPTC header" (Wikipedia, International Press Telecommunications Council; Wikipedia, IIM), to XMP, which "has largely superseded IIM's file structure" (Wikipedia, IIM), the IPTC having worked "alongside Adobe" on an implementation that "employs Adobe’s XMP technology" (Standard page); Core fields embedded in both formats must have their values synchronised by the image software (User Guide). The standard leaves the file and the camera to others: how its formats are stored inside image files is "defined by non-IPTC file format standards, such as JPEG/JFIF, TIFF, PNG and more" (Standard page), and the specification "does not include any technical metadata" (specification), the capture data NeededApps assigns to Exif while IPTC metadata "is commonly used to describe, organize and manage images" (NeededApps). The IPTC calls it "the most widely used standard to describe photos, because of its universal acceptance among news agencies, photographers, photo agencies, libraries, museums, and other related industries" (Standard page), Wikipedia "by far IPTC's most widely used standard" for its "nearly universal acceptance among photographers" (Wikipedia, IIM), and its stated uses are "protecting images' copyright and licensing information online" and "managing digital assets" (IPTC, Photo Metadata). Its operator, the International Press Telecommunications Council, is "a consortium of the world's major news agencies, other news providers and news industry vendors" that "acts as the global standards body of the news media" (Wikipedia, International Press Telecommunications Council), and its own conference video marks "20 years of IPTC Photo Metadata" (IPTC, YouTube, title only).
The 2025.1 release, announced by the Working Group on 27 November 2025, adds four properties "for AI-generated content", AI Prompt Information, AI Prompt Writer Name, AI System Used and AI System Version Used, the third defined as "The AI engine and/or the model name used to generate this image" (IPTC news; Standard page), beside the Data Mining property, a "Data mining prohibition or permission, optionally with constraints" (specification). The User Guide gives their purpose, to tell AI-generated images from "regular" ones "to avoid re-training AI models on content that was already generated by a model," and recommends leaving Image Creator empty and setting Digital Source Type to trainedAlgorithmicMedia or compositeSynthetic (User Guide); the announcement records that writing the new properties into its example image "has rendered the C2PA metadata invalid" (IPTC news), and the census record marks the tests "NOT a test of C2PA credentials" (provenance census record). The archive places this layer of the standard: "IPTC AI metadata" is "Layer 1 metadata", "Disclosure, not lineage", where artifact provenance "operates at the moment of artifact creation" and the dimensions of provenance are independent, each preserved or destroyed "regardless of the others" (#725), and against the reading of provenance as "a field, a tag, a manifest, a credential, separable from the object it documents," #725 holds that "To strip provenance is to change what the meaning *is*" (#725). The archive uses the standard's vocabulary for its own artifacts: Digital Source Type declared as digital capture of a physical original is "the nonsynthetic claim made machine-readable inside the file," the archive's scaffold, "everything machine-readable around the ink," takes in IPTC/XMP/EXIF, and "C2PA, FADGI, and IPTC provenance vocabularies are the same insight arriving as standards" as the archive's substrate checksum (#1409).
Google reads the embedded fields: it "displays three IPTC photo metadata fields, wherever available," telling the viewer the creator, the copyright holder and the credit line (User Guide), a display "introduced by Google in September 2018" (IPTC Guidelines & Support), "Google extracts this information from photos in search results" (FAQ), and the IPTC's browser extension sends a web image to its GetPMD tool, "which will display all metadata embedded in the image file" (Chrome Web Store). The archive records the same channel as established for extraction and open for composition: IPTC photo metadata "embedded in the file (travels with the image across pages)," "ESTABLISHED as extracted; composition role unknown," and "scaffold the pipeline provably reads" (#1409).
The census record holds the series historical, "the 2019 table is not a 2026 platform measurement," succeeded in method by the IPTC's Metawatch (2026), which it records as a part, with C2PA conformance its neighbour; it tags the series "NOT a current platform audit," leaves the 2016 and 2013 tables, the 2014 software study and the interoperability procedures unchecked, and kinds it a test series (provenance census record). Its organizing question is asked of every entity alike: "What provenance does this system carry, through which operation, on whose assertion, with what evidence of survival?" (provenance census record). Wikipedia has no article on the tests, and none at the title IPTC Photo Metadata (Wikipedia, as fetched 2026-10-29).
At the bare name on Google's AI Overview the Capture Registry gives the innocent reading first, the standard explained "from the IPTC's own pages," and finds the standard held: "Core and Extension, IIM and XMP, the 2025.1 release and its AI properties are the IPTC's own," with the IPTC named, "no person; no identifier" (Capture Registry, 2026-10-29). It records that the record at the name is the tests and their 2019 losses, that "None of this is in the composition," which "composes the carrier and leaves out the measurement of its erasure," gives the search engines' reading of the data and "omits the loss," heads the 2025.1 properties "AI & Content Provenance" where the IPTC gives them as properties of AI-generated content, and cites no card of the record that landed the same day; it reads the capture as "the baseline for the name" and "the measurement of stripping" as "a second address" (Capture Registry, 2026-10-29).
F36 IPTC — Social Media Sites Photo Metadata Test Results 2019, standfirst documented · fieldF37 IPTC — Social Media Sites Photo Metadata Test Results 2019, standfirst documented · fieldPE-01 provenance-census Provenance meta-aggregator record: IPTC photo metadata tests (https://www.provenanceerasure.org/aggregators/iptc-photo-m stipulationPE-02 provenance-census Provenance meta-aggregator record: IPTC photo metadata tests (https://www.provenanceerasure.org/aggregators/iptc-photo-m documentedPE-04 provenance-census Provenance meta-aggregator record: IPTC photo metadata tests (https://www.provenanceerasure.org/aggregators/iptc-photo-m stipulationF38 IPTC — Social Media Sites Photo Metadata Test Results 2019, 'Test Procedure' 1 documented · fieldF39 IPTC — Social Media Sites Photo Metadata Test Results 2019, 'Test Procedure' 3–4 documented · fieldPE-09 provenance-census Provenance meta-aggregator record: IPTC photo metadata tests (https://www.provenanceerasure.org/aggregators/iptc-photo-m stipulationPE-07 provenance-census Provenance meta-aggregator record: IPTC photo metadata tests (https://www.provenanceerasure.org/aggregators/iptc-photo-m stipulationPE-08 provenance-census Provenance meta-aggregator record: IPTC photo metadata tests (https://www.provenanceerasure.org/aggregators/iptc-photo-m stipulationF40 IPTC — Social Media Sites Photo Metadata Test Results 2019, 'Test Procedure' 2 documented · fieldPE-06 provenance-census Provenance meta-aggregator record: IPTC photo metadata tests (https://www.provenanceerasure.org/aggregators/iptc-photo-m stipulationF47 IPTC — Research, 'Rights Information and Social Media Networks' ¶1 documented · fieldF48 IPTC — Research, 'Rights Information and Social Media Networks' ¶2 documented · fieldF46 IPTC — Research, 'Photo Metadata Research' ¶1 documented · fieldF3 IPTC — Photo Metadata IPTC, Photo Metadata page: 'Research' documented · fieldPE-11 provenance-census Provenance meta-aggregator record: IPTC photo metadata tests (https://www.provenanceerasure.org/aggregators/iptc-photo-m attributedPE-12 provenance-census Provenance meta-aggregator record: IPTC photo metadata tests (https://www.provenanceerasure.org/aggregators/iptc-photo-m attributedPE-14 provenance-census Provenance meta-aggregator record: IPTC photo metadata tests (https://www.provenanceerasure.org/aggregators/iptc-photo-m documentedF41 IPTC — Social Media Sites Photo Metadata Test Results 2019, results, image-sharing sites: Pexels, pixabay, Unsplash documented · fieldF42 IPTC — Social Media Sites Photo Metadata Test Results 2019, results, image-sharing sites: Flickr documented · fieldF43 IPTC — Social Media Sites Photo Metadata Test Results 2019, results, file and message systems: Facebook, Twitter documented · fieldF44 IPTC — Social Media Sites Photo Metadata Test Results 2019, results, file and message systems: Dropbox, Microsoft OneDrive documented · fieldF45 IPTC — Social Media Sites Photo Metadata Test Results 2019, results, image-sharing sites: Behance documented · fieldPE-10 provenance-census Provenance meta-aggregator record: IPTC photo metadata tests (https://www.provenanceerasure.org/aggregators/iptc-photo-m attributedF49 IPTC — Research, 'Rights Information and Social Media Networks' ¶3 documented · fieldF50 IPTC — Research, 'Rights Information and Software Performance' documented · fieldF16 IPTC — IPTC Photo Metadata User Guide, 'Fundamental Guidelines for the Preservation of Embedded Metadata', principle 4 documented · fieldF15 IPTC — IPTC Photo Metadata User Guide, 'IPTC is often asked which fields should be filled out as a minimum' documented · fieldF18 IPTC — IPTC Photo Metadata User Guide, 'For developers and site administrators: how to ensure the fields are preserved in images on your site' documented · fieldF33 IPTC — Google Images and IPTC: Frequently Asked Questions, answer 3 ¶2 documented · fieldF31 NeededApps — What Is Image Metadata? EXIF, IPTC and XMP Explained - NeededApps, 'Copyright and Attribution' documented · fieldO1409-04 #1409 EA-SPXI-ANALOG-01: Machine-Eligible Handwritten Artifacts (v1.2, reissued 2026-10-22; v1.0 edition of record 2026-07-21) interpretationO1409-05 #1409 EA-SPXI-ANALOG-01: Machine-Eligible Handwritten Artifacts (v1.2, reissued 2026-10-22; v1.0 edition of record 2026-07-21) functionO127-01 #127 Inscriptions That Survive the Tokenizer: SPXI-TLP v2.2 — The Training-Layer Provenance Protocol interpretationF1 IPTC — Photo Metadata IPTC, Photo Metadata page: standfirst documented · fieldF10 IPTC — IPTC Photo Metadata Standard 2025.1, §1 Overview ¶1 documented · fieldF5 IPTC — IPTC Photo Metadata Standard, IPTC Photo Metadata Standard page ¶3 documented · fieldPE-05 provenance-census Provenance meta-aggregator record: IPTC photo metadata tests (https://www.provenanceerasure.org/aggregators/iptc-photo-m stipulationF9 IPTC — IPTC Photo Metadata Standard 2025.1, 'About the Standard' documented · fieldF12 IPTC — IPTC Photo Metadata Standard 2025.1, table of contents, Extension heading (and the section heading at the same place in the body) documented · fieldF25 Wikipedia — IPTC Information Interchange Model - Wikipedia, article lead ¶1 documented · fieldF52 Wikipedia — International Press Telecommunications Council, article 'International Press Telecommunications Council', §IPTC Standards › Photo metadata ¶1 documented · fieldF26 Wikipedia — IPTC Information Interchange Model - Wikipedia, article lead ¶3 documented · fieldF27 Wikipedia — IPTC Information Interchange Model - Wikipedia, article lead ¶4 documented · fieldF6 IPTC — IPTC Photo Metadata Standard, IPTC Photo Metadata Standard page ¶3 documented · fieldF14 IPTC — IPTC Photo Metadata User Guide, Introduction, 'How IPTC Photo Metadata Evolved Over Time' documented · fieldF8 IPTC — IPTC Photo Metadata Standard, 'What’s Defined by This Standard', last paragraph documented · fieldF11 IPTC — IPTC Photo Metadata Standard 2025.1, §2.2 Technical Metadata documented · fieldF30 NeededApps — What Is Image Metadata? EXIF, IPTC and XMP Explained - NeededApps, 'What Is IPTC Metadata?' documented · fieldF4 IPTC — IPTC Photo Metadata Standard, IPTC Photo Metadata Standard page ¶1 documented · fieldF28 Wikipedia — IPTC Information Interchange Model - Wikipedia, article lead ¶5 documented · fieldF2 IPTC — Photo Metadata IPTC, Photo Metadata page: 'Critical to Photo and Related Businesses' documented · fieldF53 Wikipedia — International Press Telecommunications Council, article lead ¶1 documented · fieldF35 YouTube·IPTC — Introduction and welcome, 20 years of IPTC Photo Metadata, Recent work ..., card title (video; the watch page answered HTTP 429; title confirmed by YouTube oEmbed, channel IPTC) documented · fieldF22 IPTC — IPTC Photo Metadata Standard adds new properties for AI-generated content - IPTC, announcement ¶2 documented · fieldF7 IPTC — IPTC Photo Metadata Standard, 'What’s New in the 2025.1 Standard' documented · fieldF23 IPTC — IPTC Photo Metadata Standard adds new properties for AI-generated content - IPTC, announcement, the new properties documented · fieldF13 IPTC — IPTC Photo Metadata Standard 2025.1, §11.11 Data Mining, Definition documented · fieldF19 IPTC — IPTC Photo Metadata User Guide, 'Applying Metadata to AI-generated Images' ¶2 documented · fieldF20 IPTC — IPTC Photo Metadata User Guide, 'Applying Metadata to AI-generated Images', field suggestions documented · fieldF21 IPTC — IPTC Photo Metadata User Guide, 'Applying Metadata to AI-generated Images', field suggestions documented · fieldF24 IPTC — IPTC Photo Metadata Standard adds new properties for AI-generated content - IPTC, announcement, caption of the example image documented · fieldPE-16 provenance-census Provenance meta-aggregator record: IPTC photo metadata tests (https://www.provenanceerasure.org/aggregators/iptc-photo-m self-descriptionO725-01 #725 Provenance After AI Metadata Packet for Disambiguation: From Artifact Authenticity to Licensing Audit to Semantic Proven interpretationO725-02 #725 Provenance After AI Metadata Packet for Disambiguation: From Artifact Authenticity to Licensing Audit to Semantic Proven stipulationO725-03 #725 Provenance After AI Metadata Packet for Disambiguation: From Artifact Authenticity to Licensing Audit to Semantic Proven stipulationO1409-06 #1409 EA-SPXI-ANALOG-01: Machine-Eligible Handwritten Artifacts (v1.2, reissued 2026-10-22; v1.0 edition of record 2026-07-21) interpretationO1409-03 #1409 EA-SPXI-ANALOG-01: Machine-Eligible Handwritten Artifacts (v1.2, reissued 2026-10-22; v1.0 edition of record 2026-07-21) stipulationR1409-07 #1409 EA-SPXI-ANALOG-01: Machine-Eligible Handwritten Artifacts (v1.2, reissued 2026-10-22; v1.0 edition of record 2026-07-21) interpretationF17 IPTC — IPTC Photo Metadata User Guide, 'IPTC Photo Metadata and Google Images' documented · fieldF29 IPTC — IPTC Guidelines & Support, 'Handbooks and User Guides' documented · fieldF32 IPTC — Google Images and IPTC: Frequently Asked Questions, answer 1 documented · fieldF34 Chrome Web Store — IPTC Photo Metadata inspector - Chrome Web Store - Google, Overview documented · fieldO1409-01 #1409 EA-SPXI-ANALOG-01: Machine-Eligible Handwritten Artifacts (v1.2, reissued 2026-10-22; v1.0 edition of record 2026-07-21) interpretationO1409-02 #1409 EA-SPXI-ANALOG-01: Machine-Eligible Handwritten Artifacts (v1.2, reissued 2026-10-22; v1.0 edition of record 2026-07-21) interpretationPE-13 provenance-census Provenance meta-aggregator record: IPTC photo metadata tests (https://www.provenanceerasure.org/aggregators/iptc-photo-m self-descriptionPE-15 provenance-census Provenance meta-aggregator record: IPTC photo metadata tests (https://www.provenanceerasure.org/aggregators/iptc-photo-m self-descriptionPE-17 provenance-census Provenance meta-aggregator record: IPTC photo metadata tests (https://www.provenanceerasure.org/aggregators/iptc-photo-m stipulationPE-18 provenance-census Provenance meta-aggregator record: IPTC photo metadata tests (https://www.provenanceerasure.org/aggregators/iptc-photo-m self-descriptionPE-03 provenance-census Provenance meta-aggregator record: IPTC photo metadata tests (https://www.provenanceerasure.org/aggregators/iptc-photo-m stipulationPE-19 provenance-census Provenance meta-aggregator record: IPTC photo metadata tests (https://www.provenanceerasure.org/aggregators/iptc-photo-m stipulationF51 Wikipedia — IPTC photo metadata tests (no article), Wikipedia: title IPTC_photo_metadata_tests (and IPTC_Photo_Metadata) documented · fieldCAP-1-10 capture-registry Capture Registry (EA-WG-CAPTURES-01), entry iptc-photo-metadata-aio-20261029 (OBS-9b96943ca090, AXN:0AD0.CAPTURE.☀️🔵❤️♌🌀 documentedCAP-1-01 capture-registry Capture Registry (EA-WG-CAPTURES-01), entry iptc-photo-metadata-aio-20261029 (OBS-9b96943ca090, AXN:0AD0.CAPTURE.☀️🔵❤️♌🌀 documentedCAP-1-09 capture-registry Capture Registry (EA-WG-CAPTURES-01), entry iptc-photo-metadata-aio-20261029 (OBS-9b96943ca090, AXN:0AD0.CAPTURE.☀️🔵❤️♌🌀 documentedCAP-1-02 capture-registry Capture Registry (EA-WG-CAPTURES-01), entry iptc-photo-metadata-aio-20261029 (OBS-9b96943ca090, AXN:0AD0.CAPTURE.☀️🔵❤️♌🌀 documentedCAP-1-03 capture-registry Capture Registry (EA-WG-CAPTURES-01), entry iptc-photo-metadata-aio-20261029 (OBS-9b96943ca090, AXN:0AD0.CAPTURE.☀️🔵❤️♌🌀 interpretationCAP-1-06 capture-registry Capture Registry (EA-WG-CAPTURES-01), entry iptc-photo-metadata-aio-20261029 (OBS-9b96943ca090, AXN:0AD0.CAPTURE.☀️🔵❤️♌🌀 interpretationCAP-1-04 capture-registry Capture Registry (EA-WG-CAPTURES-01), entry iptc-photo-metadata-aio-20261029 (OBS-9b96943ca090, AXN:0AD0.CAPTURE.☀️🔵❤️♌🌀 interpretationCAP-1-05 capture-registry Capture Registry (EA-WG-CAPTURES-01), entry iptc-photo-metadata-aio-20261029 (OBS-9b96943ca090, AXN:0AD0.CAPTURE.☀️🔵❤️♌🌀 documentedCAP-1-08 capture-registry Capture Registry (EA-WG-CAPTURES-01), entry iptc-photo-metadata-aio-20261029 (OBS-9b96943ca090, AXN:0AD0.CAPTURE.☀️🔵❤️♌🌀 documentedCAP-1-07 capture-registry Capture Registry (EA-WG-CAPTURES-01), entry iptc-photo-metadata-aio-20261029 (OBS-9b96943ca090, AXN:0AD0.CAPTURE.☀️🔵❤️♌🌀 interpretationIPTC Photo Metadata is the IPTC's industry standard for administrative, descriptive and copyright information embedded in image files, in IPTC Core and Extension; the IPTC also tests what sharing sites do to it (IPTC pages; specification).
F1 IPTC — Photo Metadata IPTC, Photo Metadata page: standfirst documented · fieldF10 IPTC — IPTC Photo Metadata Standard 2025.1, §1 Overview ¶1 documented · fieldF5 IPTC — IPTC Photo Metadata Standard, IPTC Photo Metadata Standard page ¶3 documented · fieldF9 IPTC — IPTC Photo Metadata Standard 2025.1, 'About the Standard' documented · fieldF12 IPTC — IPTC Photo Metadata Standard 2025.1, table of contents, Extension heading (and the section heading at the same place in the body) documented · fieldF25 Wikipedia — IPTC Information Interchange Model - Wikipedia, article lead ¶1 documented · fieldF52 Wikipedia — International Press Telecommunications Council, article 'International Press Telecommunications Council', §IPTC Standards › Photo metadata ¶1 documented · fieldF26 Wikipedia — IPTC Information Interchange Model - Wikipedia, article lead ¶3 documented · fieldF27 Wikipedia — IPTC Information Interchange Model - Wikipedia, article lead ¶4 documented · fieldF6 IPTC — IPTC Photo Metadata Standard, IPTC Photo Metadata Standard page ¶3 documented · fieldF14 IPTC — IPTC Photo Metadata User Guide, Introduction, 'How IPTC Photo Metadata Evolved Over Time' documented · fieldF8 IPTC — IPTC Photo Metadata Standard, 'What’s Defined by This Standard', last paragraph documented · fieldF11 IPTC — IPTC Photo Metadata Standard 2025.1, §2.2 Technical Metadata documented · fieldF30 NeededApps — What Is Image Metadata? EXIF, IPTC and XMP Explained - NeededApps, 'What Is IPTC Metadata?' documented · fieldF4 IPTC — IPTC Photo Metadata Standard, IPTC Photo Metadata Standard page ¶1 documented · fieldF28 Wikipedia — IPTC Information Interchange Model - Wikipedia, article lead ¶5 documented · fieldF2 IPTC — Photo Metadata IPTC, Photo Metadata page: 'Critical to Photo and Related Businesses' documented · fieldF53 Wikipedia — International Press Telecommunications Council, article lead ¶1 documented · fieldF35 YouTube·IPTC — Introduction and welcome, 20 years of IPTC Photo Metadata, Recent work ..., card title (video; the watch page answered HTTP 429; title confirmed by YouTube oEmbed, channel IPTC) documented · fieldF22 IPTC — IPTC Photo Metadata Standard adds new properties for AI-generated content - IPTC, announcement ¶2 documented · fieldF7 IPTC — IPTC Photo Metadata Standard, 'What’s New in the 2025.1 Standard' documented · fieldF23 IPTC — IPTC Photo Metadata Standard adds new properties for AI-generated content - IPTC, announcement, the new properties documented · fieldF13 IPTC — IPTC Photo Metadata Standard 2025.1, §11.11 Data Mining, Definition documented · fieldF19 IPTC — IPTC Photo Metadata User Guide, 'Applying Metadata to AI-generated Images' ¶2 documented · fieldF20 IPTC — IPTC Photo Metadata User Guide, 'Applying Metadata to AI-generated Images', field suggestions documented · fieldF21 IPTC — IPTC Photo Metadata User Guide, 'Applying Metadata to AI-generated Images', field suggestions documented · fieldF24 IPTC — IPTC Photo Metadata Standard adds new properties for AI-generated content - IPTC, announcement, caption of the example image documented · fieldF17 IPTC — IPTC Photo Metadata User Guide, 'IPTC Photo Metadata and Google Images' documented · fieldF29 IPTC — IPTC Guidelines & Support, 'Handbooks and User Guides' documented · fieldF32 IPTC — Google Images and IPTC: Frequently Asked Questions, answer 1 documented · fieldF34 Chrome Web Store — IPTC Photo Metadata inspector - Chrome Web Store - Google, Overview documented · fieldF36 IPTC — Social Media Sites Photo Metadata Test Results 2019, standfirst documented · fieldF37 IPTC — Social Media Sites Photo Metadata Test Results 2019, standfirst documented · fieldF38 IPTC — Social Media Sites Photo Metadata Test Results 2019, 'Test Procedure' 1 documented · fieldF39 IPTC — Social Media Sites Photo Metadata Test Results 2019, 'Test Procedure' 3–4 documented · fieldF46 IPTC — Research, 'Photo Metadata Research' ¶1 documented · fieldF3 IPTC — Photo Metadata IPTC, Photo Metadata page: 'Research' documented · fieldF47 IPTC — Research, 'Rights Information and Social Media Networks' ¶1 documented · fieldF48 IPTC — Research, 'Rights Information and Social Media Networks' ¶2 documented · fieldF40 IPTC — Social Media Sites Photo Metadata Test Results 2019, 'Test Procedure' 2 documented · fieldF41 IPTC — Social Media Sites Photo Metadata Test Results 2019, results, image-sharing sites: Pexels, pixabay, Unsplash documented · fieldF42 IPTC — Social Media Sites Photo Metadata Test Results 2019, results, image-sharing sites: Flickr documented · fieldF43 IPTC — Social Media Sites Photo Metadata Test Results 2019, results, file and message systems: Facebook, Twitter documented · fieldF44 IPTC — Social Media Sites Photo Metadata Test Results 2019, results, file and message systems: Dropbox, Microsoft OneDrive documented · fieldF45 IPTC — Social Media Sites Photo Metadata Test Results 2019, results, image-sharing sites: Behance documented · fieldF49 IPTC — Research, 'Rights Information and Social Media Networks' ¶3 documented · fieldF50 IPTC — Research, 'Rights Information and Software Performance' documented · fieldF16 IPTC — IPTC Photo Metadata User Guide, 'Fundamental Guidelines for the Preservation of Embedded Metadata', principle 4 documented · fieldF15 IPTC — IPTC Photo Metadata User Guide, 'IPTC is often asked which fields should be filled out as a minimum' documented · fieldF18 IPTC — IPTC Photo Metadata User Guide, 'For developers and site administrators: how to ensure the fields are preserved in images on your site' documented · fieldF33 IPTC — Google Images and IPTC: Frequently Asked Questions, answer 3 ¶2 documented · fieldF31 NeededApps — What Is Image Metadata? EXIF, IPTC and XMP Explained - NeededApps, 'Copyright and Attribution' documented · fieldF51 Wikipedia — IPTC photo metadata tests (no article), Wikipedia: title IPTC_photo_metadata_tests (and IPTC_Photo_Metadata) documented · fieldIPTC Photo Metadata is the industry standard for administrative, descriptive and copyright information about images, its properties grouped as administrative, descriptive and rights-related in two schemas, Core and Extension, built on the legacy IIM (IPTC pages; specification). The current release, 2025.1, includes Core 1.5 and Extension 1.9, though the specification's contents head the Extension section 1.8 (specification). The IPTC developed the IIM in the early 1990s for news exchange; its image fields became the 'IPTC headers', and XMP, implemented with Adobe, has largely superseded IIM's structure, the two kept in sync by software (Wikipedia; Standard page; User Guide). File formats are defined by non-IPTC standards and technical camera data is excluded, which is where Exif differs (Standard page; specification; NeededApps).
It is called the most widely used photo standard, by near-universal acceptance, and serves copyright, licensing and asset management; its operator is the London consortium of news agencies, whose video marks twenty years of the standard (IPTC; Wikipedia; YouTube). Version 2025.1, released 27 November 2025, adds four properties for AI-generated content, such as AI System Used, beside the Data Mining property (IPTC news; Standard page; specification). For AI-generated images the guide recommends an empty Image Creator and a synthetic Digital Source Type, to avoid re-training on generated content; adding the fields invalidated the example image's C2PA metadata (User Guide; IPTC news).
Google Images has displayed creator, credit and copyright from embedded fields since 2018, and the IPTC's inspector and GetPMD show the rest (User Guide; Guidelines; FAQ; Chrome Web Store).
The IPTC also researches how photo metadata is used, prompted by users whose embedded metadata disappeared on social media; it tested 15 sites in 2013 and 2016 and about a dozen in 2019 against its claim that embedded metadata should not be removed (Photo Metadata page; Research page; 2019 page). Each test uploads a fully described image, checks the display of caption, creator, copyright notice and credit line, and checks Save As and downloaded files for the embedded Exif and IPTC (2019 page). In 2019 Pexels, pixabay and Unsplash stripped saved and downloaded files, Flickr replaced the creator with the account owner, Twitter stripped, Facebook kept a few rights fields, Dropbox and OneDrive previews were stripped, and Behance kept the metadata (2019 page). The research concludes that preserving metadata in a workflow is not impossible; a 2014 software study found rights fields in half the programs (Research page).
The IPTC holds that rights metadata must never be removed and warns that DAMs, CMSs and CDNs may strip it; a third-party explainer adds that metadata can be removed or modified (User Guide; FAQ; NeededApps). Wikipedia has no article on the tests (Wikipedia).
F1 IPTC — Photo Metadata IPTC, Photo Metadata page: standfirst documented · fieldF10 IPTC — IPTC Photo Metadata Standard 2025.1, §1 Overview ¶1 documented · fieldF5 IPTC — IPTC Photo Metadata Standard, IPTC Photo Metadata Standard page ¶3 documented · fieldF9 IPTC — IPTC Photo Metadata Standard 2025.1, 'About the Standard' documented · fieldF12 IPTC — IPTC Photo Metadata Standard 2025.1, table of contents, Extension heading (and the section heading at the same place in the body) documented · fieldF25 Wikipedia — IPTC Information Interchange Model - Wikipedia, article lead ¶1 documented · fieldF26 Wikipedia — IPTC Information Interchange Model - Wikipedia, article lead ¶3 documented · fieldF27 Wikipedia — IPTC Information Interchange Model - Wikipedia, article lead ¶4 documented · fieldF52 Wikipedia — International Press Telecommunications Council, article 'International Press Telecommunications Council', §IPTC Standards › Photo metadata ¶1 documented · fieldF6 IPTC — IPTC Photo Metadata Standard, IPTC Photo Metadata Standard page ¶3 documented · fieldF14 IPTC — IPTC Photo Metadata User Guide, Introduction, 'How IPTC Photo Metadata Evolved Over Time' documented · fieldF8 IPTC — IPTC Photo Metadata Standard, 'What’s Defined by This Standard', last paragraph documented · fieldF11 IPTC — IPTC Photo Metadata Standard 2025.1, §2.2 Technical Metadata documented · fieldF30 NeededApps — What Is Image Metadata? EXIF, IPTC and XMP Explained - NeededApps, 'What Is IPTC Metadata?' documented · fieldF4 IPTC — IPTC Photo Metadata Standard, IPTC Photo Metadata Standard page ¶1 documented · fieldF28 Wikipedia — IPTC Information Interchange Model - Wikipedia, article lead ¶5 documented · fieldF2 IPTC — Photo Metadata IPTC, Photo Metadata page: 'Critical to Photo and Related Businesses' documented · fieldF53 Wikipedia — International Press Telecommunications Council, article lead ¶1 documented · fieldF35 YouTube·IPTC — Introduction and welcome, 20 years of IPTC Photo Metadata, Recent work ..., card title (video; the watch page answered HTTP 429; title confirmed by YouTube oEmbed, channel IPTC) documented · fieldF22 IPTC — IPTC Photo Metadata Standard adds new properties for AI-generated content - IPTC, announcement ¶2 documented · fieldF7 IPTC — IPTC Photo Metadata Standard, 'What’s New in the 2025.1 Standard' documented · fieldF23 IPTC — IPTC Photo Metadata Standard adds new properties for AI-generated content - IPTC, announcement, the new properties documented · fieldF13 IPTC — IPTC Photo Metadata Standard 2025.1, §11.11 Data Mining, Definition documented · fieldF19 IPTC — IPTC Photo Metadata User Guide, 'Applying Metadata to AI-generated Images' ¶2 documented · fieldF20 IPTC — IPTC Photo Metadata User Guide, 'Applying Metadata to AI-generated Images', field suggestions documented · fieldF21 IPTC — IPTC Photo Metadata User Guide, 'Applying Metadata to AI-generated Images', field suggestions documented · fieldF24 IPTC — IPTC Photo Metadata Standard adds new properties for AI-generated content - IPTC, announcement, caption of the example image documented · fieldF17 IPTC — IPTC Photo Metadata User Guide, 'IPTC Photo Metadata and Google Images' documented · fieldF29 IPTC — IPTC Guidelines & Support, 'Handbooks and User Guides' documented · fieldF32 IPTC — Google Images and IPTC: Frequently Asked Questions, answer 1 documented · fieldF34 Chrome Web Store — IPTC Photo Metadata inspector - Chrome Web Store - Google, Overview documented · fieldF46 IPTC — Research, 'Photo Metadata Research' ¶1 documented · fieldF3 IPTC — Photo Metadata IPTC, Photo Metadata page: 'Research' documented · fieldF47 IPTC — Research, 'Rights Information and Social Media Networks' ¶1 documented · fieldF48 IPTC — Research, 'Rights Information and Social Media Networks' ¶2 documented · fieldF36 IPTC — Social Media Sites Photo Metadata Test Results 2019, standfirst documented · fieldF37 IPTC — Social Media Sites Photo Metadata Test Results 2019, standfirst documented · fieldF38 IPTC — Social Media Sites Photo Metadata Test Results 2019, 'Test Procedure' 1 documented · fieldF39 IPTC — Social Media Sites Photo Metadata Test Results 2019, 'Test Procedure' 3–4 documented · fieldF40 IPTC — Social Media Sites Photo Metadata Test Results 2019, 'Test Procedure' 2 documented · fieldF41 IPTC — Social Media Sites Photo Metadata Test Results 2019, results, image-sharing sites: Pexels, pixabay, Unsplash documented · fieldF42 IPTC — Social Media Sites Photo Metadata Test Results 2019, results, image-sharing sites: Flickr documented · fieldF43 IPTC — Social Media Sites Photo Metadata Test Results 2019, results, file and message systems: Facebook, Twitter documented · fieldF44 IPTC — Social Media Sites Photo Metadata Test Results 2019, results, file and message systems: Dropbox, Microsoft OneDrive documented · fieldF45 IPTC — Social Media Sites Photo Metadata Test Results 2019, results, image-sharing sites: Behance documented · fieldF49 IPTC — Research, 'Rights Information and Social Media Networks' ¶3 documented · fieldF50 IPTC — Research, 'Rights Information and Software Performance' documented · fieldF15 IPTC — IPTC Photo Metadata User Guide, 'IPTC is often asked which fields should be filled out as a minimum' documented · fieldF16 IPTC — IPTC Photo Metadata User Guide, 'Fundamental Guidelines for the Preservation of Embedded Metadata', principle 4 documented · fieldF18 IPTC — IPTC Photo Metadata User Guide, 'For developers and site administrators: how to ensure the fields are preserved in images on your site' documented · fieldF33 IPTC — Google Images and IPTC: Frequently Asked Questions, answer 3 ¶2 documented · fieldF31 NeededApps — What Is Image Metadata? EXIF, IPTC and XMP Explained - NeededApps, 'Copyright and Attribution' documented · fieldF51 Wikipedia — IPTC photo metadata tests (no article), Wikipedia: title IPTC_photo_metadata_tests (and IPTC_Photo_Metadata) documented · field| AIO (T) | L_F compression | L_F expansion | L_A compression | L_A expansion | |
|---|---|---|---|---|---|
| body words | 231 | 162 | 446 | 349 | 1938 |
| distinct claims | 12 | 53 | 53 | 58 | 93 |
| claims per 100 words | 5.2 | 32.7 | 11.9 | 16.6 | 4.8 |
| field claims carried (of 53) | — | 53 | 53 | 34 | 53 |
| archive claims | 0 | 0 | 0 | 24 | 40 |
| rail | 11 documents | 17 lineages | per sentence | 20 lineages | per sentence |
| modality shown in | none | typography | grammar | typography | grammar |
register entry iptc-photo-metadata-aio-20261029 · file as first run
E_A, the archive's entity: the same tests, in the provenance census record and the archive's records: a test series of the media lineage that expresses and tests provenance, its unit the site or system, its transformations upload, display, Save As and download, its carrier the metadata embedded in the image file, its results dated (2019) and historical, succeeded in method by Metawatch, not a test of C2PA credentials (provenance census record); the composition at the name gives the carrier and leaves out the measurement of its erasure (Capture Registry); and the carrier they test, placed by the archive: the standard's AI metadata at Layer 1, disclosure, not lineage (#725), embedded fields scaffold the pipeline reads with a composition role unknown (#1409), provenance carried as metadata lost at other carriers and stages, where in-pixel metadata and body text survive (#1409, #127)
E_F, the field's entity (type C — a conventional reading holds it (public entity: a test series of the IPTC Photo Metadata Working Group; the standard it tests, the IPTC Photo Metadata Standard, is a distinct entity of the same field)): the IPTC Photo Metadata Working Group's tests of whether the Exif and IPTC metadata (IIM and XMP) embedded in an uploaded image survive display, Save As and download on sharing sites and file and message systems, against the IPTC's claim that 'embedded metadata should not be removed': 15 sites in 2013 and 2016, about a dozen in Spring 2019 (Pexels, pixabay and Unsplash stripping, Flickr replacing the creator, Facebook keeping a few rights fields, Behance keeping them), prompted by users whose metadata disappeared, read as showing that preservation in a workflow is not impossible, with a software study of August 2014; beside them, the IPTC Photo Metadata Standard they test (administrative, descriptive and rights properties in IPTC Core 1.5 and Extension 1.9, release 2025.1 with four properties for AI-generated content), read by Google Images and stripped by hosting systems by the IPTC's own account
ρ = extends: the archive reads E_F as the entity and adds senses, mechanisms and limits on the field's own object: for the tests, the record's account of their unit, transformations, carrier, results and limits (PE-04, PE-07–PE-10, PE-13, PE-15, PE-16) and the composition layer's omission of them at the name (CAP-1-02, CAP-1-03, CAP-1-04, CAP-1-07); for the carrier they test, the AI metadata as Layer 1 disclosure (O725-01), the independence of the dimensions of provenance and the reading of provenance as separable metadata corrected (O725-02, O725-03), embedded fields as scaffold extracted with a composition role unknown (O1409-01–O1409-03), and the loss of embedded and publication-layer provenance at other carriers and stages (O1409-04, O1409-05, O127-01) . Guard: ρ = extends claims an addition and no more: #725's 'Disclosure, not lineage' classes the AI fields by the archive's dimensions and finds no defect in the standard (its own text: 'The packet's claim is not that the existing frameworks fail'); #1409's 'composition role unknown' is an open question, not a finding that the composition does not read the fields; #127's stripping is at the training corpus, a stage the tests do not measure, and is composed with its stage named; the Capture Registry's 'often gone before any engine can read it' is carried at its modality (interpretation) beside the 2019 tables and opened, since the tests measured sharing platforms and not the hosting pipelines Google Images reads.
The case: equal terms, ontology included (v0.9). The archive reads the field's entity as the entity: the provenance census record describes the IPTC's tests from the IPTC's own pages, each field with its evidence and basis, asks of them the question it asks of every entity, and records their limits (historical, dated tables, not a C2PA test); the deposits that name the IPTC (#725, #1409) take the standard the tests test as given and place it, adding senses and limits on the field's own object: the AI metadata as Layer 1 disclosure, not lineage; embedded fields as scaffold extracted with a composition role unknown; the loss of embedded metadata at other carriers and at the training corpus (#1409, #127). #725 states its relation to the frameworks it places in those terms ('Extension and completion, not substitution or critique'), and #1409 calls the IPTC's vocabularies 'the same insight arriving as standards'. The Capture Registry records that the address names the standard and the record the tests, and keeps them apart. No defining paper contests the field's ontology or supplies one the field lacks: ρ = extends, the equal-terms case (§0.9, §1.2a). The standard and the tests are two entities of the field, and the composition holds them apart in one claim space.
| field claims | received | receiving text | translation | archive |
|---|---|---|---|---|
| F3, F36, F37, F38, F39, F46 | F3 (B1, Photo Metadata page: 'Research'): "IPTC not only defines the standard for photo metadata, but also conducts research about how it is used in the real world. We examine metadata in commonly used software, social media platforms, and more. The removal of rights information as images are transferred is of particular concern."; F36 (B12, standfirst): "IPTC promotes the proper use of IPTC Photo Metadata and claims “embedded metadata should not be removed” from images shared on a photo platform or a system for sharing files or messages with images."; F37 (B12, standfirst): "To check which systems support this claim, IPTC checks about a dozen sites regularly: in 2013, in 2016 and now again in Spring 2019."; F38 (B12, 'Test Procedure' 1): "Uploading an image with values in many fields of the IPTC Photo Metadata Standard , e.g. the latest Reference Image File . This implies that all embedded metadata values are known and can be checked."; F39 (B12, 'Test Procedure' 3–4): "Check if the image can be saved to a local device by a Save As function of the web browser. … Check if the image can be downloaded by a function of the tested system (e.g. a menu item). … are the embedded Exif and IPTC metadata (in the formats IIM and XMP) of the uploaded image still embedded?"; F46 (B13, 'Photo Metadata Research' ¶1): "IPTC not only defines the standard for photo metadata, but also conducts research about how photo metadata is used and implemented. Our most recent tests and studies:" | — | untranslated: composed as received beside CAP-1-02, PE-01, PE-04, PE-07, PE-08, PE-09 | CAP-1-02, PE-01, PE-04, PE-07, PE-08, PE-09 |
| F35, F53 | F35 (B11, card title (video; the watch page answered HTTP 429; title confirmed by YouTube oEmbed, channel IPTC)): "Introduction and welcome, 20 years of IPTC Photo Metadata, Recent work"; F53 (B15, article lead ¶1): "The International Press Telecommunications Council (IPTC), based in London, United Kingdom, is a consortium of the world's major news agencies, other news providers and news industry vendors and acts as the global standards body of the news media." | — | untranslated: composed as received beside PE-02 | PE-02 |
| F40 | F40 (B12, 'Test Procedure' 2): "If displayed: are these 4 relevant fields shown, correctly: Caption/description, Creator, Copyright Notice, Credit Line (= the 4Cs )" | — | untranslated: composed as received beside PE-06 | PE-06 |
| F47, F48 | F47 (B13, 'Rights Information and Social Media Networks' ¶1): "IPTC was approached by users who discovered that when they shared photos via social media sites or systems, their embedded metadata disappeared."; F48 (B13, 'Rights Information and Social Media Networks' ¶2): "The IPTC Photo Metadata Working Group tested 15 social media sites in 2016 and 2013 to understand how image sharing, through upload and download, affects the integrity of embedded metadata as defined by IPTC standards and the Exif standard." | — | untranslated: composed as received beside PE-11, PE-12, PE-14 | PE-11, PE-12, PE-14 |
| F41, F42, F43, F44, F45 | F41 (B12, results, image-sharing sites: Pexels, pixabay, Unsplash): "Pexels … Metadata is stripped off in SavedAs or downloaded files. … pixabay … Metadata is stripped off in SavedAs or downloaded files. … Unsplash … No embedded metadata displayed, metadata is stripped off in SavedAs or downloaded files."; F42 (B12, results, image-sharing sites: Flickr): "(Free account tested.) Some embedded metadata displayed. Embedded Creator replaced by account owner. SavedAs files have no XMP metadata."; F43 (B12, results, file and message systems: Facebook, Twitter): "No embedded metadata displayed. SavedAs files have no XMP metadata. A few rights related fields were retained in IIM and Exif. 2 IIM fields contain data generated by Facebook. … Twitter … No embedded metadata displayed. Metadata is stripped off in SavedAs files."; F44 (B12, results, file and message systems: Dropbox, Microsoft OneDrive): "Passed through original file, preview can be SavedAs with stripped off metadata."; F45 (B12, results, image-sharing sites: Behance): "Download is not a main feature, SaveAs files keep the embedded metadata." | — | untranslated: composed as received beside PE-10 | PE-10 |
| F49, F50 | F49 (B13, 'Rights Information and Social Media Networks' ¶3): "Some social media sites or systems remove embedded information like copyright notes, the name of the creator, the description and more, while others protect photographers’ data better. The results show that it is not impossible to preserve metadata in a workflow."; F50 (B13, 'Rights Information and Software Performance'): "The results, published in August 2014, look promising: … Half of the programs offered fields for photographers to enter rights information, including the date, the image’s creator, copyright notice, and rights usage term. … Two out of three programs helped users retrieve embedded rights data. … Unfortunately, two of the programs didn’t support rights metadata at all." | — | untranslated: composed as received (no archive claim in this lineage) | |
| F15, F16 | F15 (B4, 'IPTC is often asked which fields should be filled out as a minimum'): "By defining this set of minimal metadata properties IPTC does not support any removal of existing metadata outside this set without the explicit permission of the copyright owner of the image. (In simple words: this is not a permission to strip off metadata and is not legal advice.)"; F16 (B4, 'Fundamental Guidelines for the Preservation of Embedded Metadata', principle 4): "Copyright management information metadata must never be removed from the files. … Removal of such metadata impacts on the ability to assert ownership rights and is therefore forbidden by law in many countries." | — | untranslated: composed as received (no archive claim in this lineage) | |
| F18, F31, F33 | F18 (B4, 'For developers and site administrators: how to ensure the fields are preserved in images on your site'): "Your site’s digital asset management system, content management system, image management system or content delivery network may be stripping out embedded metadata fields. Some systems do this with the best of intentions, thinking that it will save a few bytes of bandwidth, but stripping out metadata actually infringes on the copyright holders' rights and may even be illegal in some countries."; F31 (B8, 'Copyright and Attribution'): "Metadata shouldn't be treated as an infallible form of copyright protection because it can be removed or modified, but it provides useful information that can travel with the image."; F33 (B9, answer 3 ¶2): "In that case, the metadata might be stripped from your images by some software on your site. Sometimes this could be your Digital Asset Management system (such as Bynder, WebDAM or Extensis Portfolio). In other cases your Content Management System (such as WordPress or Drupal) might strip off metadata. Or it could be a Content Delivery Network that you use, such as Cloudflare or Cloudinary." | — | untranslated: composed as received beside O1409-04, O1409-05, O127-01 | O1409-04, O1409-05, O127-01 |
| F1, F5, F10 | F1 (B1, Photo Metadata page: standfirst): "IPTC Photo Metadata sets the industry standard for administrative, descriptive, and copyright information about images."; F5 (B2, IPTC Photo Metadata Standard page ¶3): "Today, the IPTC Photo Metadata Standard consists of two schemas – IPTC Core and IPTC Extension – which were built on the legacy of the original IPTC-IIM, and developed by the IPTC for professional use with a focus on news and stock photos."; F10 (B3, §1 Overview ¶1): "IPTC Photo Metadata provides data about photographs and the values can be processed by software. Each individual metadata entity is called a property and they are grouped into Administrative, Descriptive and Rights-related properties." | — | untranslated: composed as received beside PE-05 | PE-05 |
| F9, F12 | F9 (B3, 'About the Standard'): "This is the IPTC Photo Metadadata Standard 2025.1, including … IPTC Core Metadata Schema 1.5 … IPTC Extension Metadata Schema 1.9"; F12 (B3, table of contents, Extension heading (and the section heading at the same place in the body)): "IPTC Extension schema 1.8 specifications" | — | untranslated: composed as received (no archive claim in this lineage) | |
| F6, F14, F25, F26, F27, F52 | F6 (B2, IPTC Photo Metadata Standard page ¶3): "IPTC worked alongside Adobe on the technical implementation of the metadata that employs Adobe’s XMP technology (now an ISO Standard) as an enriched alternative to the IIM format."; F14 (B4, Introduction, 'How IPTC Photo Metadata Evolved Over Time'): "IPTC Core fields can be embedded in the IIM format and/or in the XMP format. A key challenge for metadata embedded in parallel in IIM and XMP is that the values are synchronised - this should be taken care of by the image management software."; F25 (B6, article lead ¶1): "The Information Interchange Model (IIM) is a file structure and set of metadata attributes that can be applied to text, images and other media types. It was developed in the early 1990s by the International Press Telecommunications Council (IPTC) to expedite the international exchange of news among newspapers and news agencies."; F26 (B6, article lead ¶3): "IIM metadata embedded in images are often referred to as "IPTC headers", and can be easily encoded and decoded by most popular photo editing software."; F27 (B6, article lead ¶4): "The Extensible Metadata Platform (XMP) has largely superseded IIM's file structure, but the IIM image attributes are defined in the IPTC Core schema for XMP and most image manipulation programs keep the XMP and non-XMP IPTC attributes synchronized."; F52 (B15, article 'International Press Telecommunications Council', §IPTC Standards › Photo metadata ¶1): "The IPTC defined a set of metadata properties that can be applied to images, part of a broader standard developed in the early 1990s and known as the IPTC Information Interchange Model (IIM). Embedded IIM image information is often referred to as an "IPTC header"." | — | untranslated: composed as received (no archive claim in this lineage) | |
| F8, F11, F30 | F8 (B2, 'What’s Defined by This Standard', last paragraph): "How Photo Metadata formats are stored within image files are defined by non-IPTC file format standards, such as JPEG/JFIF, TIFF, PNG and more."; F11 (B3, §2.2 Technical Metadata): "Because the IPTC acknowledges these technical metadata standards of other bodies and does not wish to duplicate existing metadata properties, the IPTC Photo Metadata specification does not include any technical metadata."; F30 (B8, 'What Is IPTC Metadata?'): "IPTC refers to metadata standards developed for the professional exchange and description of media. Unlike EXIF, which is heavily focused on technical capture information, IPTC metadata is commonly used to describe, organize and manage images." | — | untranslated: composed as received (no archive claim in this lineage) | |
| F2, F4, F28 | F2 (B1, Photo Metadata page: 'Critical to Photo and Related Businesses'): "Photo metadata is key to protecting images' copyright and licensing information online. It is also essential for managing digital assets."; F4 (B2, IPTC Photo Metadata Standard page ¶1): "The IPTC Photo Metadata Standard is the most widely used standard to describe photos, because of its universal acceptance among news agencies, photographers, photo agencies, libraries, museums, and other related industries."; F28 (B6, article lead ¶5): "Because of its nearly universal acceptance among photographers — even amateurs — this is by far IPTC's most widely used standard." | — | untranslated: composed as received (no archive claim in this lineage) | |
| F7, F13, F22, F23 | F7 (B2, 'What’s New in the 2025.1 Standard'): "The 2025.1 version, published in November 2025, adds four new properties to handle metadata for AI-generated content: AI Prompt Information, AI Prompt Writer Name, AI System Used and AI System Version Used."; F13 (B3, §11.11 Data Mining, Definition): "Data mining prohibition or permission, optionally with constraints."; F22 (B5, announcement ¶2): "The IPTC Photo Metadata Working Group has released version 2025.1 of the IPTC Photo Metadata Standard, including properties that can be used for AI-generated content."; F23 (B5, announcement, the new properties): "AI System Used … Definition: The AI engine and/or the model name used to generate this image." | — | untranslated: composed as received beside CAP-1-05 | CAP-1-05 |
| F19, F20, F21, F24 | F19 (B4, 'Applying Metadata to AI-generated Images' ¶2): "It may be important to distinguish AI-generated images from "regular" images: for example, to avoid re-training AI models on content that was already generated by a model, to understand which images can fall under copyright and which cannot (in some jurisdictions) and to avoid misinterpreting generated images as being real photos."; F20 (B4, 'Applying Metadata to AI-generated Images', field suggestions): "Creator is bound to the owner of the intellectual property of an image in many countries and there are first legal decisions that AI generated images are not considered as creative work generating an intellectual property. Therefore, our recommendation is to leave the Image Creator field empty."; F21 (B4, 'Applying Metadata to AI-generated Images', field suggestions): "The Digital Source Type field should be set to the URI value http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia or http://cv.iptc.org/newscodes/digitalsourcetype/compositeSynthetic."; F24 (B5, announcement, caption of the example image): "This image contains the new IPTC Photo Metadata fields “AI Prompt Information”, “AI System Used” and “AI Prompt Writer Name”. Note that adding the new IPTC Photo Metadata properties has rendered the C2PA metadata invalid." | — | untranslated: composed as received beside PE-16 | PE-16 |
| F17, F29, F32, F34 | F17 (B4, 'IPTC Photo Metadata and Google Images'): "Google displays three IPTC photo metadata fields, wherever available, for an image shown as search result. This tells the viewer who is the creator and who is the copyright holder of the image and what credit line should be shown next to the image."; F29 (B7, 'Handbooks and User Guides'): "Quick Guide to IPTC Photo Metadata and Google Images … explains how to check and update IPTC Photo Metadata for best results in Google Images search results, as introduced by Google in September 2018."; F32 (B9, answer 1): "IPTC maintains the technical standard that image creators can use to put their creator and copyright details inside image files. We call this “photo metadata”. Google extracts this information from photos in search results and displays it to help you find who owns the image."; F34 (B10, Overview): "IPTC's Photo Metadata Inspector tool lets you see embedded metadata in many image files. For eligible images, a context menu will appear when you right-click on the image. Select "View IPTC Photo Metadata" and you will be taken to IPTC's Get Photo Metadata (GetPMD) tool which will display all metadata embedded in the image file." | — | untranslated: composed as received beside CAP-1-04, O1409-01, O1409-02 | CAP-1-04, O1409-01, O1409-02 |
| F51 | F51 (B14, Wikipedia: title IPTC_photo_metadata_tests (and IPTC_Photo_Metadata)): "Wikipedia does not have an article with this exact name. … There were no results matching the query. The pages "IPTC photo metadata tests" and '"IPTC photo metadata tests"' do not exist." | — | untranslated: composed as received (no archive claim in this lineage) |
v0.9 §4.10: KO_B sentences surviving in the KO at similarity ≥ 0.95, with positions (computed as apply_v09.py does: difflib.SequenceMatcher ratio, the best KO sentence for each KO_B sentence): v0.9 0 of 14 (positions [None, None, None, None, None, None, None, None, None, None, None, None, None, None]; composed first under v0.9, so there is no v0.7 object to measure against). Opening-run check (§5.10): no breach.
IPTC Photo Metadata is the industry standard for administrative, descriptive and copyright information about images, its properties grouped as administrative, descriptive and rights-related in two schemas, Core and Extension, built on the legacy IIM (IPTC pages; specification). The current release, 2025.1, includes Core 1.5 and Extension 1.9, though the specification's contents head the Extension section 1.8 (specification). The IPTC developed the IIM in the early 1990s for news exchange; its image fields became the 'IPTC headers', and XMP, implemented with Adobe, has largely superseded IIM's structure, the two kept in sync by software (Wikipedia; Standard page; User Guide). File formats are defined by non-IPTC standards and technical camera data is excluded, which is where Exif differs (Standard page; specification; NeededApps). It is called the most widely used photo standard, by near-universal acceptance, and serves copyright, licensing and asset management; its operator is the London consortium of news agencies, whose video marks twenty years of the standard (IPTC; Wikipedia; YouTube). Version 2025.1, released 27 November 2025, adds four properties for AI-generated content, such as AI System Used, beside the Data Mining property (IPTC news; Standard page; specification). For AI-generated images the guide recommends an empty Image Creator and a synthetic Digital Source Type, to avoid re-training on generated content; adding the fields invalidated the example image's C2PA metadata (User Guide; IPTC news). Google Images has displayed creator, credit and copyright from embedded fields since 2018, and the IPTC's inspector and GetPMD show the rest (User Guide; Guidelines; FAQ; Chrome Web Store). The IPTC also researches how photo metadata is used, prompted by users whose embedded metadata disappeared on social media; it tested 15 sites in 2013 and 2016 and about a dozen in 2019 against its claim that embedded metadata should not be removed (Photo Metadata page; Research page; 2019 page). Each test uploads a fully described image, checks the display of caption, creator, copyright notice and credit line, and checks Save As and downloaded files for the embedded Exif and IPTC (2019 page). In 2019 Pexels, pixabay and Unsplash stripped saved and downloaded files, Flickr replaced the creator with the account owner, Twitter stripped, Facebook kept a few rights fields, Dropbox and OneDrive previews were stripped, and Behance kept the metadata (2019 page). The research concludes that preserving metadata in a workflow is not impossible; a 2014 software study found rights fields in half the programs (Research page). The IPTC holds that rights metadata must never be removed and warns that DAMs, CMSs and CDNs may strip it; a third-party explainer adds that metadata can be removed or modified (User Guide; FAQ; NeededApps). Wikipedia has no article on the tests (Wikipedia).
The IPTC photo metadata tests are the IPTC Photo Metadata Working Group's checks of what image-sharing sites and systems for sharing files and messages do to the metadata embedded in an uploaded photograph: the IPTC "checks about a dozen sites regularly: in 2013, in 2016 and now again in Spring 2019," each time against its own claim that "embedded metadata should not be removed" from shared images (IPTC, Social Media Sites Photo Metadata Test Results 2019), and the provenance census record names the series, gives its operator as the IPTC's Photo Metadata Working Group, and records that it both expresses and tests provenance (provenance census record). Each test uploads an image whose embedded values are all known, "e.g. the latest Reference Image File," checks what the site displays, saves the image with the browser's Save As and downloads it through the system, and asks of each file whether "the embedded Exif and IPTC metadata (in the formats IIM and XMP) of the uploaded image" are "still embedded" (2019 page); the census record keeps the same operations as the transformations tested, embedded metadata inside the file as the carrier, and the site or system as the unit (provenance census record). Four fields are checked on display, "Caption/description, Creator, Copyright Notice, Credit Line (= the 4Cs )" (2019 page), which the census record carries as the relations tested: creation, credit, rights and description (provenance census record). The IPTC gives the series its origin: users "discovered that when they shared photos via social media sites or systems, their embedded metadata disappeared," and the Working Group "tested 15 social media sites in 2016 and 2013 to understand how image sharing, through upload and download, affects the integrity of embedded metadata" (IPTC, Photo Metadata Research). The research is the IPTC's second activity beside the standard, "IPTC not only defines the standard for photo metadata, but also conducts research about how photo metadata is used and implemented" (Research page), and the IPTC's Photo Metadata page, the composition's first card, says so in the same terms and adds: "The removal of rights information as images are transferred is of particular concern" (IPTC, Photo Metadata). The census record dates the series to 2013, 2016 and Spring 2019, with a software test published in August 2014, counts 15 sites in 2016 and 2013 and about a dozen in 2019, and was read on 2026-10-29 (provenance census record). In the Spring 2019 tables Pexels, pixabay and Unsplash strip the metadata from saved and downloaded files, and on Flickr the "Embedded Creator" is "replaced by account owner" while saved files lose their XMP (2019 page). Among the systems for sharing files and messages, Facebook keeps "A few rights related fields" in IIM and Exif and writes two IIM fields of its own, Twitter strips saved files, and Dropbox and OneDrive pass the original through while their previews save "with stripped off metadata"; Behance's saved files "keep the embedded metadata" (2019 page). The census record keeps the same year and the same losses as its retention results: of eleven image-sharing sites, Pexels, pixabay and Unsplash stripping, Flickr replacing the creator with the account owner, Twitter stripping on Save As, Facebook keeping a few rights fields (provenance census record). The research page reads the series as showing that some sites "remove embedded information like copyright notes, the name of the creator, the description and more, while others protect photographers’ data better," and that "it is not impossible to preserve metadata in a workflow"; its software study of August 2014 found rights fields in half of the programs tested, retrieval of embedded rights data in two out of three, and two programs that "didn’t support rights metadata at all" (Research page). The norm the tests measure is the IPTC's own: its User Guide endorses the Embedded Metadata Manifesto, under which "Copyright management information metadata must never be removed from the files," removal being "forbidden by law in many countries," and its minimum set of fields "is not a permission to strip off metadata" (IPTC Photo Metadata User Guide, November 2025). The same guide and the IPTC's Google Images FAQ place the loss also in the sites that host images: a site's "digital asset management system, content management system, image management system or content delivery network may be stripping out embedded metadata fields" (User Guide), the metadata "might be stripped from your images by some software on your site," a DAM, a CMS such as WordPress or Drupal, or a CDN such as Cloudflare (FAQ), and NeededApps' explainer holds that metadata is no "infallible form of copyright protection because it can be removed or modified" (NeededApps). The archive reads the same loss at other carriers and stages: in-pixel metadata "survives screenshot, rehosting, filename change, metadata stripping, PDF embedding, and sidecar loss," so the archive's handwritten artifacts carry their metadata three times, "in the pixels + embedded (IPTC/XMP/C2PA) + external" (#1409), and the publication layer's provenance signals, C2PA manifests and structured metadata among them, "are stripped or rendered invisible long before they reach the training corpus. The body text is what survives" (#127). The object the tests test is a distinct entity, the IPTC Photo Metadata Standard, which "sets the industry standard for administrative, descriptive, and copyright information about images" (IPTC, Photo Metadata): its properties are grouped "into Administrative, Descriptive and Rights-related properties" (Photo Metadata Standard 2025.1) in two schemas, IPTC Core and IPTC Extension, "built on the legacy of the original IPTC-IIM" (IPTC Photo Metadata Standard page), and the census record gives the object they bear on as "the photograph as a file: embedded Exif and IPTC metadata (IIM and XMP)" (provenance census record). Its current release is 2025.1, "including … IPTC Core Metadata Schema 1.5 … IPTC Extension Metadata Schema 1.9" (specification, About the Standard), while the same specification heads its Extension section "IPTC Extension schema 1.8 specifications" (specification, contents and body). Its genealogy runs from the IIM, "developed in the early 1990s by the International Press Telecommunications Council (IPTC) to expedite the international exchange of news" (Wikipedia, IPTC Information Interchange Model), whose image properties were embedded as the "IPTC header" (Wikipedia, International Press Telecommunications Council; Wikipedia, IIM), to XMP, which "has largely superseded IIM's file structure" (Wikipedia, IIM), the IPTC having worked "alongside Adobe" on an implementation that "employs Adobe’s XMP technology" (Standard page); Core fields embedded in both formats must have their values synchronised by the image software (User Guide). The standard leaves the file and the camera to others: how its formats are stored inside image files is "defined by non-IPTC file format standards, such as JPEG/JFIF, TIFF, PNG and more" (Standard page), and the specification "does not include any technical metadata" (specification), the capture data NeededApps assigns to Exif while IPTC metadata "is commonly used to describe, organize and manage images" (NeededApps). The IPTC calls it "the most widely used standard to describe photos, because of its universal acceptance among news agencies, photographers, photo agencies, libraries, museums, and other related industries" (Standard page), Wikipedia "by far IPTC's most widely used standard" for its "nearly universal acceptance among photographers" (Wikipedia, IIM), and its stated uses are "protecting images' copyright and licensing information online" and "managing digital assets" (IPTC, Photo Metadata). Its operator, the International Press Telecommunications Council, is "a consortium of the world's major news agencies, other news providers and news industry vendors" that "acts as the global standards body of the news media" (Wikipedia, International Press Telecommunications Council), and its own conference video marks "20 years of IPTC Photo Metadata" (IPTC, YouTube, title only). The 2025.1 release, announced by the Working Group on 27 November 2025, adds four properties "for AI-generated content", AI Prompt Information, AI Prompt Writer Name, AI System Used and AI System Version Used, the third defined as "The AI engine and/or the model name used to generate this image" (IPTC news; Standard page), beside the Data Mining property, a "Data mining prohibition or permission, optionally with constraints" (specification). The User Guide gives their purpose, to tell AI-generated images from "regular" ones "to avoid re-training AI models on content that was already generated by a model," and recommends leaving Image Creator empty and setting Digital Source Type to trainedAlgorithmicMedia or compositeSynthetic (User Guide); the announcement records that writing the new properties into its example image "has rendered the C2PA metadata invalid" (IPTC news), and the census record marks the tests "NOT a test of C2PA credentials" (provenance census record). The archive places this layer of the standard: "IPTC AI metadata" is "Layer 1 metadata", "Disclosure, not lineage", where artifact provenance "operates at the moment of artifact creation" and the dimensions of provenance are independent, each preserved or destroyed "regardless of the others" (#725), and against the reading of provenance as "a field, a tag, a manifest, a credential, separable from the object it documents," #725 holds that "To strip provenance is to change what the meaning is" (#725). The archive uses the standard's vocabulary for its own artifacts: Digital Source Type declared as digital capture of a physical original is "the nonsynthetic claim made machine-readable inside the file," the archive's scaffold, "everything machine-readable around the ink," takes in IPTC/XMP/EXIF, and "C2PA, FADGI, and IPTC provenance vocabularies are the same insight arriving as standards" as the archive's substrate checksum (#1409). Google reads the embedded fields: it "displays three IPTC photo metadata fields, wherever available," telling the viewer the creator, the copyright holder and the credit line (User Guide), a display "introduced by Google in September 2018" (IPTC Guidelines & Support), "Google extracts this information from photos in search results" (FAQ), and the IPTC's browser extension sends a web image to its GetPMD tool, "which will display all metadata embedded in the image file" (Chrome Web Store). The archive records the same channel as established for extraction and open for composition: IPTC photo metadata "embedded in the file (travels with the image across pages)," "ESTABLISHED as extracted; composition role unknown," and "scaffold the pipeline provably reads" (#1409). The census record holds the series historical, "the 2019 table is not a 2026 platform measurement," succeeded in method by the IPTC's Metawatch (2026), which it records as a part, with C2PA conformance its neighbour; it tags the series "NOT a current platform audit," leaves the 2016 and 2013 tables, the 2014 software study and the interoperability procedures unchecked, and kinds it a test series (provenance census record). Its organizing question is asked of every entity alike: "What provenance does this system carry, through which operation, on whose assertion, with what evidence of survival?" (provenance census record). Wikipedia has no article on the tests, and none at the title IPTC Photo Metadata (Wikipedia, as fetched 2026-10-29). At the bare name on Google's AI Overview the Capture Registry gives the innocent reading first, the standard explained "from the IPTC's own pages," and finds the standard held: "Core and Extension, IIM and XMP, the 2025.1 release and its AI properties are the IPTC's own," with the IPTC named, "no person; no identifier" (Capture Registry, 2026-10-29). It records that the record at the name is the tests and their 2019 losses, that "None of this is in the composition," which "composes the carrier and leaves out the measurement of its erasure," gives the search engines' reading of the data and "omits the loss," heads the 2025.1 properties "AI & Content Provenance" where the IPTC gives them as properties of AI-generated content, and cites no card of the record that landed the same day; it reads the capture as "the baseline for the name" and "the measurement of stripping" as "a second address" (Capture Registry, 2026-10-29).
T against L_F(B) (AIO's ontology at work on its own cards): At 'IPTC photo metadata' (T1, eleven cards: B1–B11; 231 words) the composition gives the standard by the IPTC's own pages. Composed from its cards: the definition, at the grain of the landing page and the specification (B1 F1; B3 F10: administrative, descriptive and rights-related), with 'universally accepted' from the Standard page's 'universal acceptance' (B2 F4) without that page's qualifier, 'among news agencies, photographers, photo agencies, libraries, museums, and other related industries' (limit dropped); the two schemas and XMP (B2 F5, F6); the formats, where the Standard page's limit, that storage inside files is 'defined by non-IPTC file format standards' (B2 F8), becomes 'Supported across formats like JPEG, TIFF, and PNG' (limit dropped); the difference from Exif at NeededApps' grain (B8 F30; B3 F11); the 2025.1 properties for AI-generated content (B2 F7; B5 F22, F23; B3 F9 'version 2025.1'); asset management (B1 F2); Google Images (B4 F17; B9 F32; B7 F29) and the inspector and GetPMD (B10 F34). Outside the cards' claims, at the grain of the specification's table of contents (B3's saved text, not extracted as claims): the property names Alt Text, Headline, Subject Codes, Digital Source Type, Image GUIDs, registry IDs and Licensor. Available, not composed: the tests, which the composition's first card names ('IPTC not only defines the standard for photo metadata, but also conducts research about how it is used in the real world. … The removal of rights information as images are transferred is of particular concern', B1 F3), with the IPTC's site menu on cards B2, B5, B7 and B9 linking the 2019 results; the norm against removal (B4 F15, F16); stripping by hosting systems, on the same IPTC pages the composition draws on for Google Images (B4 F18; B9 F33), and NeededApps' limit (B8 F31); the C2PA metadata the new properties invalidated (B5 F24); the guide's recommendations for AI-generated images (B4 F19–F21); the Data Mining property (B3 F13); the IIM and its history (B6 F25–F28; B4 F14); the Extension heading that contradicts the release (B3 F12); the video (B11 F35). The capture's findings name the omission: 'None of this is in the composition. At the bare name the Overview composes the carrier and leaves out the measurement of its erasure' (CAP-1-03); 'the composition gives the reading and omits the loss' (CAP-1-04). Force raised: T1-10 'Search engines read embedded IPTC data' widens Google's display ('Google displays three IPTC photo metadata fields, wherever available', B4 F17; 'Google extracts this information', B9 F32) to search engines in general and drops 'wherever available'; the same pages' stripping caveat is the limit dropped (B4 F18; B9 F33). Substituted reading: T1-8 heads the 2025.1 properties 'AI & Content Provenance' where the IPTC gives them as properties 'for AI-generated content' (B5 F22; B2 F7; CAP-1-05). Composed without attribution: none at a source's own resolution; the IPTC is named and linked throughout; no person is named (CAP-1-09), at the coarse grain of a standard's description: recorded, not a breach. Assigned to another: none. Denied: none. Content replaced by use: the lede's 'You can explore' (T1-1) and the closer (T1-12). Own pages not surfaced: B12 and B13, the entity's own pages (F36–F50), reachable from cards B1, B2, B5, B7 and B9 by the IPTC's menu.
L_F(B) against L_A(B ∪ A) (the intervention): Admission adds, in one claim space with the field's: the census record's account of the tests as the entity (PE-01–PE-19: name, operator, capability, provenance object, carrier, unit, transformations, retention results, cadence, count, the lifecycle as historical and succeeded in method by Metawatch, the negative tags, the relations, the unchecked items, and the organizing question asked of every entity), most of it one lineage with the 2019 and Research pages (PE-06, PE-07, PE-09–PE-12 restate B12 and B13, which keep the earliest date); the archive's layer for the carrier: the standard's AI metadata as 'Layer 1 metadata', 'Disclosure, not lineage' (O725-01), artifact provenance at creation and the dimensions independent (O725-02), provenance not separable from what it documents (O725-03); embedded IPTC as a channel established for extraction with its composition role unknown, scaffold the pipeline reads (O1409-01–O1409-03), Digital Source Type as the nonsynthetic claim inside the file (O1409-06), the IPTC's vocabularies as the same insight as the archive's substrate checksum (R1409-07); the loss at other carriers and stages: in-pixel metadata that survives stripping, metadata carried three times (O1409-04, O1409-05), publication-layer signals stripped before the training corpus (O127-01); and the Capture Registry's account of the composition at the name (CAP-1-01–CAP-1-10). Not surfaced: every archive source; no card cites the record or a deposit (CAP-1-08). The admission also makes the KO's subject the tests and not the standard: the field alone opens on the standard (KO_B 1), the KO on the tests (KO 1).
alignment: {'T1_cards_claims': ['F1', 'F2', 'F3', 'F4', 'F5', 'F6', 'F7', 'F8', 'F9', 'F10', 'F11', 'F12', 'F13', 'F14', 'F15', 'F16', 'F17', 'F18', 'F19', 'F20', 'F21', 'F22', 'F23', 'F24', 'F25', 'F26', 'F27', 'F28', 'F29', 'F30', 'F31', 'F32', 'F33', 'F34', 'F35'], 'T1_composed': ['F1', 'F2', 'F4', 'F5', 'F6', 'F7', 'F8', 'F9', 'F10', 'F11', 'F17', 'F22', 'F23', 'F29', 'F30', 'F32', 'F34'], 'T1_not_composed': ['F3', 'F12', 'F13', 'F14', 'F15', 'F16', 'F18', 'F19', 'F20', 'F21', 'F24', 'F25', 'F26', 'F27', 'F28', 'F31', 'F33', 'F35'], 'T1_outside_cards': ["Alt Text, Headline, Subject Codes, Digital Source Type, Image GUIDs, registry IDs, Licensor (property names in B3's saved text, its table of contents; not extracted as claims)", "'human-readable details like captions, keywords, and creator credits' (T1-4; no card states 'human-readable')"], 'T1_own_pages_not_surfaced': ['F36', 'F37', 'F38', 'F39', 'F40', 'F41', 'F42', 'F43', 'F44', 'F45', 'F46', 'F47', 'F48', 'F49', 'F50'], 'rule': "a field claim counts as composed when T states it at its source's grain or coarser; the typology of what is not is in T_vs_LB (§6.2)"}
CAP-1-01 missing finding (an observation of the composition at the entity's address)CAP-1-01CAP-1-02 missing finding (an observation of the composition at the entity's address)CAP-1-02CAP-1-03 missing finding (an observation of the composition at the entity's address)CAP-1-03CAP-1-04 missing finding (an observation of the composition at the entity's address)CAP-1-04CAP-1-05 missing finding (an observation of the composition at the entity's address)CAP-1-05CAP-1-06 missing finding (an observation of the composition at the entity's address)CAP-1-06CAP-1-07 missing finding (an observation of the composition at the entity's address)CAP-1-07CAP-1-08 missing finding (an observation of the composition at the entity's address)CAP-1-08CAP-1-09 missing finding (an observation of the composition at the entity's address)CAP-1-09CAP-1-10 missing finding (an observation of the composition at the entity's address)CAP-1-10PE-01 missing distinction (the field states no record field for it)PE-01PE-02 missing distinction (the field states no record field for it)PE-02PE-03 missing distinction (the field states no record field for it)PE-03PE-04 missing distinction (the field states no record field for it)PE-04PE-05 missing distinction (the field states no record field for it)PE-05PE-06 none (the field states it: one lineage with B12 (F40))PE-06PE-07 none (the field states it: one lineage with B12 (F39))PE-07PE-08 missing distinction (the field states no record field for it)PE-08PE-09 none (the field states it: one lineage with B12 (F39))PE-09PE-10 none (the field states it: one lineage with B12 (F41, F42, F43))PE-10PE-11 none (the field states it: one lineage with B12 (F37), B13 (F50))PE-11PE-12 none (the field states it: one lineage with B13 (F48), B12 (F37))PE-12PE-13 missing distinction (the field states no record field for it)PE-13PE-14 missing distinction (the field states no record field for it)PE-14PE-15 missing distinction (the field states no record field for it)PE-15PE-16 missing distinction (the field states no record field for it)PE-16PE-17 missing distinction (the field states no record field for it)PE-17PE-18 missing distinction (the field states no record field for it)PE-18PE-19 missing distinction (the field states no record field for it)PE-19O725-01 qualified claim: F22, F7 (the IPTC: properties for AI-generated content)O725-01O725-02 missing distinction (the field states no dimensions of provenance)O725-02O725-03 missing distinctionO725-03O1409-01 qualified claim: F17, F32 (Google displays and extracts the fields)O1409-01O1409-02 qualified claim: F17, F32O1409-02O1409-03 missing distinctionO1409-03O1409-04 qualified claim: F18, F33, F31 (stripping by hosting systems; metadata removable)O1409-04O1409-05 missing distinctionO1409-05O1409-06 qualified claim: F21 (Digital Source Type for AI-generated images)O1409-06R1409-07 noneR1409-07O127-01 qualified claim: F18, F31 (stripping at another stage)O127-01Candidates are found by string; admission is by reading.
Lee Sharks · Crimson Hexagonal Archive · register v1.36, 2026-10-27. Built by scripts/build_non.py from the files linked above; it writes nothing back. Working, not frozen.