Screenshot of an article from SearchEngineLand entitled "Google wants you to label AI-generated images used in Merchant Center", with the subtitle: "Don't remove embedded metadata tags such as trainedAlgorithmicMedia from such images," Google wrote.
The new guidance has received some press in the Search Engine Optimisation (SEO) world, including this post on SearchEngineLand.

Google has added Digital Source Type support to Google Merchant Center, enabling images created by generative AI engines to be flagged as such in Google’s products such as Google search, maps, YouTube and Google Shopping.

In a new support post, Google reminds merchants who wish their products to be listed in Google search results and other products that they should not strip embedded metadata, particularly the Digital Source Type field which can be used to signal that content was created by generative AI.

We at the IPTC fully endorse this position. We have been saying for years that website publishers should not strip metadata from images. This should also include tools for maintaining online product inventories, such as Magento and WooCommerce. We welcome contact from developers who wish to learn more about how they can preserve metadata in their images.

Here’s the full text of Google’s recommendation:

Preserving metadata tags for AI-generated images in Merchant Center
February 2024
If you’re using AI-generated images in Merchant Center, Google requires that you preserve any metadata tags which indicate that the image was created using generative AI in the original image file.

Don't remove embedded metadata tags such as trainedAlgorithmicMedia from such images. All AI-generated images must contain the IPTC DigitalSourceType trainedAlgorithmicMedia tag. Learn more about IPTC photo metadata.

These requirements apply to the following image attributes in Merchant Center Classic and Merchant Center Next:

Image link [image_link]
Additional image link [additional_image_link]
Lifestyle image link [lifestyle_image_link]
Learn more about product data specifications.

The IPTC News Architecture Working Group is happy to announce that the NewsML-G2 Guidelines and NewsML-G2 Specification documents have been updated to align with version 2.33 of NewsML-G2, which was approved in October 2023.

The changes include:

Specification changes:

  • Adding the newest additions authoritystatus and digitalsourcetype added in NewsML-G2 versions 2.32 and 2.33
  • Clarification on how @uri, @qcode and @literal attributes should be treated throughout
  • Clarification on how roles should be added to infosource element when an entity plays more than one role
  • Clarifying and improving cross-references and links throughout the document

Guidelines changes:

We always welcome feedback on our specification and guideline documents: please use the Contact Us form to ask for clarifications or suggest changes.

A cute robot penguin painting a picture of itself using a canvas mounted on a a wooden easel, in the countryside. Generated by Imagine with Meta AI
An image generated by Imagine with Meta AI, using the prompt “A cute robot penguin painting a picture of itself using a canvas mounted on a a wooden easel, in the countryside.” The image contains IPTC DigitalSourceType metadata showing that it was generated by AI.

Yesterday Nick Clegg, Meta’s President of Global Affairs, announced that Meta would be using IPTC embedded photo metadata to label AI-Generated Images on Facebook, Instagram and Threads.

Meta already uses the IPTC Photo Metadata Standard’s Digital Source Type property to label images generated by its platform. The image to the right was generated using Imagine with Meta AI, Meta’s image generation tool. Viewing the image’s metadata with the IPTC’s Photo Metadata Viewer tool shows that the Digital Source Type field is set to “trainedAlgorithmicMedia” as recommended in IPTC’s Guidance on metadata for AI-generated images.

Clegg said that “we do several things to make sure people know AI is involved, including putting visible markers that you can see on the images, and both invisible watermarks and metadata embedded within image files. Using both invisible watermarking and metadata in this way improves both the robustness of these invisible markers and helps other platforms identify them.”

This approach of both direct and indirect disclosure is in line with the Partnership on AI’s Best Practices on signalling the use of generative AI.

Also, Meta are building recognition of this metadata into their tools: “We’re building industry-leading tools that can identify invisible markers at scale – specifically, the “AI generated” information in the C2PA and IPTC technical standards – so we can label images from Google, OpenAI, Microsoft, Adobe, Midjourney, and Shutterstock as they implement their plans for adding metadata to images created by their tools.”

We have previously shared the news that Google, Microsoft, Adobe, Midjourney and Shutterstock will use IPTC metadata in their generated images, either directly in the IPTC Photo Metadata block or using the IPTC Digital Source Type vocabulary as part of a C2PA assertion. OpenAI has just announced that they have started using IPTC via C2PA metadata to signal the fact that images  from DALL-E are generated by AI.

A call for platforms to stop stripping image metadata

We at the IPTC agree that this is a great step towards end-to-end support of indirect disclosure of AI-generated content.

As the Meta and OpenAI posts points out, it is possible to strip out both IPTC and C2PA metadata either intentionally or accidentally, so this is not a solution to all problems of content credibility.

Currently, one of the main ways metadata is stripped from images is when they are uploaded to Facebook or other social media platforms. So with this step, we hope that Meta’s platforms will stop stripping metadata from images when they are shared – not just the fields about generative AI, but also the fields regarding accessibility (alt text), copyright, creator’s rights and other information embedded in images by their creators.

Video next?

Meta’s post indicates that this type of metadata isn’t commonly used for video or audio files. We agree, but to be ahead of the curve, we have added Digital Source Type support to IPTC Video Metadata Hub so videos can be labelled in the same way.

We will be very happy to work with Meta and other platforms on making sure IPTC’s standards are implemented correctly in images, videos and other areas.

Paul Kelly speaking at the Sports Video Group's Content Management Forum in July 2023
Paul Kelly speaking at the Sports Video Group’s Content Management Forum in New York, July 2023

As we wrap up 2023, we thought it would be useful to give an update you on the IPTC’s work in 2023, including updates to most of our standards.

Two successful member meetings, one in person!

This year we finally held our first IPTC Member meeting in person since 2019, in Tallinn Estonia. We had around 30 people attend in person and 50 attended online from over 40 organisations. Presentations and discussions ranged from the e-Estonia digital citizen experience to building re-usable news content widgets with Web Components, and of course included generative AI, credibility and fact checking, and more. Here’s our report on the  IPTC 2023 Spring Meeting.

For our Autumn Meeting we went back to an online format, with over 50 attendees, and more watching the recordings afterwards (which are available to all members). Along with discussions of generative AI and content licensing at this year’s meetings, it was great to hear the real-world implementation experience of the ASBU Cloud project from the Arab States Broadcasting Union. The system was created by IPTC members Broadcast Solutions, based on NewsML-G2. The DPP Live Production Exchange, led by new members Arqiva, will be another real-world implementation coming soon. We heard about the project’s first steps at the Autumn Meeting.

Also at this years Autumn Meeting we also heard from Will Kreth of the HAND Identity platform and saw a demo of IPTC Sport Schema from IPTC member Progress Software (previously MarkLogic). More on IPTC Sport Schema below! All news from the Autumn Meeting is summed up in our post AI, Video in the cloud, new standards and more: IPTC Autumn Meeting 2023

We’re very happy to say that the IPTC Spring Meeting 2024 will be held in New York from April 15 – 17. All IPTC member delegates are welcome to attend the meeting at no cost. If you are not a member but would like to present your work at the meeting, please get in touch using our Contact Us form.

IPTC Photo Metadata Conference, 7 May 2024: save the date!

Due to several issues, we were not able to run a Photo Metadata Conference in 2023, but we will be back with an online Photo Metadata Conference on 7th May 2024. Please mark the date in your calendar!

As usual, the event will be free and open for anyone to attend.

If you would like to present to the people most interested in photo metadata from around the world, please let us know!

Presentations at other conferences and work with other organisations

IPTC was represented at the CEPIC Congress in France, the EBU DataTech Seminar in Geneva, Sports Video Group Content Management Forum in New York and the DMLA’s International Digital Media Licensing Conference in San Francisco.

We also worked with CIPA, the organisation behind the Exif photo metadata standard, on aligning Exif with IPTC Photo Metadata, and supported them in their work towards Exif 3.0 which was announced in June.

The IPTC will be advising the TEMS project which is an EU-funded initiative to build a “media data space” for Europe, and possibly beyond: IPTC working with alliance to build a European Media Data Space.

IPTC’s work on Generative AI and media

Of course the big topic for media in 2023 has been Generative AI. We have been looking at this topic for several years, since it was known as “synthetic media” and back in 2022 we created a taxonomy of “digital source types” that can be used to describe various forms of machine-generated and machine-assisted content creation. This was a joint effort across our NewsCodes, Video Metadata and Photo Metadata Working Groups.

AI-generated image of a cute robot sitting at a garden table sketching on a notepad.
Image created by Brendan Quinn using Bing Image Creator. This image file contains digitalsourcetype metadata which was added manually using exiftool.

It turns out that this was very useful, and the IPTC Digital Source Type taxonomy has been adopted by Google, Midjourney, C2PA and others as a way to describe content. Here are some of our news posts from 2023 on this topic:

IPTC’s work on Trust and Credibility

IPTC’s guidance on implementing trust and credibility indicators across IPTC standards such as NewsML-G2, ninjs, the IPTC Photo Metadata Standard and IPTC Video Metadata Hub.

After a lot of drafting work over several years, we released the Guidelines for Expressing Trust and Credibility signals in IPTC standards that shows how to embed trust infiormation in the form of “trust indicators” such as those from The Trust Project into content marked up using IPTC standards such as NewsML-G2 and ninjs. The guideline also discusses how media can be signed using C2PA specification.

We continue to work with C2PA on the underlying specification allowing signed metadata to be added to media content so that it becomes “tamper-evident”. However C2PA specification in its current form does not prescribe where the certificates used for signing should come from. To that end, we have been working with Microsoft, BBC, CBC / Radio Canada and The New York Times on the Steering Committee of Project Origin to create a trust ecosystem for the media industry. Stay tuned for more developments from Project Origin during 2024.

IPTC’s newest standard: IPTC Sport Schema

The Sport Schema website includes examples showing how typical sports results such as football/soccer, golf and olympic events can be represented in the IPTC Sport Schema model.

After years of work, the IPTC Sports Content Working Group released version 1.0 of IPTC Sport Schema. IPTC Sport Schema takes the experience of IPTC’s 10+ years of maintaining the XML-based SportsML standard and applies it to the world of the semantic web, knowledge graphs and linked data.

Paul Kelly, Lead of the IPTC Sports Content Working Group, presented IPTC Sport Schema to the world’s top sports media technologists: IPTC Sport Schema launched at Sports Video Group Content Management Forum.

Take a look at out dedicated site to see how it works, look at some demonstration data and try out a query engine to explore the data.

If you’re interested in using IPTC Sport Schema as the basis for sports data at your organisation, please let us know. We would be very happy to help you to get started.

Standard and Working Group updates

  • Our IPTC NewsCodes vocabularies had two big updates, the NewsCodes 2023-Q1 update and the NewsCodes Q3 2023 update. For our main subject taxonomy Media Topics, over the year we added 12 new concepts, retired 73 under-used terms, and modified 158 terms to make their labels and/or descriptions easier to understand. We also added or updated vocabularies such as Digital Source Type and Authority Status.
  • The News in JSON Working Group released ninjs 2.1 and ninjs 1.5  in parallel, so that people who cannot move from the 1.x schema can still get the benefits of new additions. The group is currently working on adding events and planning items to ninjs based on requirements the DPP Live Production Exchange project: expect to see something released in 2024.
  • NewsML-G2 2.32 and NewsML-G2 v2.33 were released this year, including support for Generative AI via the Digital Source Type vocabulary.
  • The IPTC Photo Metadata Standard 2023.1 allows rightsholders to express whether or not they are willing to allow their content to be indexed by search engines and data mining crawlers, and whether the content can be used as training data for Generative AI. This work was done in partnership with the PLUS Coalition. We also updated the IPTC Photo Metadata Mapping Guidelines to accommodate Exif 3.0.
  • Through discussions and workshops at our Member Meetings in 2022 and 2023, we have been working on making RightsML easier to use and easier to understand. Stay tuned for more news on RightsML in 2024.
  • Video Metadata Hub 1.5 adds the same properties to allow content to be excluded from generative AI training data sets. We have also updated the Video Metadata Hub Generator tool to generate C2PA-compliant metadata “assertions”.

New faces at IPTC

Ian Young of Alamy / PA Media Group stepped up to become the lead of the News in JSON Working Group, taking over from Johan Lindgren of TT who is winding down his duties but still contributes to the group.

We welcomed Bonnier News, Newsbridge, Arqiva, the Australian Broadcasting Corporation and as new IPTC members, plus a very well known name who will be joining at the start of 2024. We’re very happy to have you all as members!

We are always happy to work with more organisations in the media and related industries. If you would like to talk to us about joining IPTC, please complete our membership enquiry form.

Here’s to a great 2024!

Thanks to everyone who gave IPTC your support, and we look forward to working with you in the coming year.

If you have any questions or comments (and especially if you would like to speak at one of our events in 2024!), you can contact us via our contact form.

Best wishes,

Brendan Quinn
Managing Director, IPTC
and the IPTC Board of Directors: Dave Compton (LSE Group), Heather Edwards (The Associated Press), Paul Harman (Bloomberg LP), Gerald Innerwinkler (APA), Philippe Mougin (Agence France-Presse), Jennifer Parrucci (The New York Times), Robert Schmidt-Nia of DATAGROUP (Chair of the Board), Guowei Wu (Xinhua)

The IPTC is happy to announce that it will be working as an affiliate organisation of the TEMS project to build a Trusted European Media Data Space.

The product of a two-year-long tender and award process with the European Commission, TEMS is a joint undertaking of 43 organisations representing hundreds of stakeholders from 14 countries in the cultural and creative sectors, which aims to conceive and implement a common media data space across Europe.

The initiative is supported by the European Commission’s Digital Europe Programme (DIGITAL) and is a core element in the implementation of the European Data Strategy. With an investment of EUR 16.5 million, the consortium represents a milestone in the way the media sector will be able to share and extract value from data. By doing so, TEMS aims to support the economic development and future growth of local and regional media ecosystems across Europe.

Concretely, TEMS will lead the way for the large-scale deployment of cutting-edge services, infrastructures, and platforms. It will also address fighting misinformation, audience analysis, improving data flows in production chains, and supporting the adoption of AI and Virtual Reality technologies.

TEMS will evolve existing media platforms, embryonic data space infrastructures and provide open access to a common data space for any interested media stakeholder from any media sub-sector. This will help digital transformation and improve the competitiveness of the European media industry.

IPTC’s role is an advisory one. We will be working with TEMS partners on structuring data models and metadata formats, re-using and extending existing IPTC standards to create the framework the will power the data sharing for the media industry and beyond.

The TEMS partner organisations range from global news organisations to data platform providers, broadcasters, archives and media innovation units, as can be seen below.

To follow news from the TEMS project, see or follow @TEMS_EU on X/Twitter.

The IPTC is happy to announce the latest version of our guidance for mapping between photo metadata standards.

Following our publication of IPTC’s rules for mapping photo metadata between IPTC, Exif and standards in 2022, the IPTC Photo Metadata Working Group has been monitoring updates in the photo metadata world.

In particular, the IPTC gave support and advice to CIPA while it was working on Exif 3.0 and we have updated our mapping rules to work with the latest changes to Exif expressed in Exif 3.0.

As well as guidelines for individual properties between IPTC Photo Metadata Standard (in both the older IIM form and the newer XMP embedding format), Exif and, we have included some notes on particular considerations for mapping contributor, copyright notice, dates and IDs.

The IPTC encourages all developers who previously consulted the out-of-date Metadata Working Group guidelines (which haven’t been updated since 2008 and are no longer published) to use this guide instead.

Reporters Sans Frontiers (Reporters Without Borders) logoOn Tuesday 12 November 2023, a group of news, journalism and media organisations released what they call the “Paris Charter on AI and Journalism.” Created by 17 organisations brought together by Reporters sans frontières and chaired by journalist and Nobel Peace Prize laureate Maria Ressa, the Charter aims to give journalism organisations some guidelines that they can use to navigate the intersection of Artificial Intelligence systems and journalism.

The IPTC particularly welcomes the Charter because it aligns well with several of our ongoing initiatives and recent projects. IPTC technologies and standards give news organisations a way to implement the Charter simply and easily in their existing newsroom workflows.

In particular, we have some comments to offer on some principles:


“The AI systems used by the media and journalists should undergo an independent, comprehensive, and thorough evaluation involving journalism support groups. This evaluation must robustly demonstrate adherence to the core values of journalistic ethics. These systems must respect privacy, intellectual property and data protection laws.”

We particularly agree that AI systems must respect intellectual property laws. To support this, we have recently released the Data Mining property in the IPTC Photo Metadata Standard which allows content owners to express any permissions or restrictions that they apply regarding the use of their content in Generative AI training or other data mining purposes. The Data Mining property is also supported in IPTC Video Metadata Hub.


“Any use of AI that has a significant impact on the production or distribution of journalistic content should be clearly disclosed and communicated to everyone receiving information alongside the relevant content. Media outlets should maintain a public record of the AI systems they use and have used, detailing their purposes, scopes, and conditions of use.”

To enable clear declaration of generated content, we have created extra terms in the Digital Source Type vocabulary to express content that was created or edited by AI. These values can be used in both IPTC Photo Metadata and IPTC Video Metadata Hub.


“Media outlets should, whenever possible, use state-of-the-art tools that guarantee the authenticity and provenance of published content, providing reliable details about its origin and any subsequent changes it may have undergone. Any content not meeting these authenticity standards should be regarded as potentially misleading and should undergo thorough verification.”

Through IPTC’s work with Project Origin, C2PA and the Content Authenticity Initiative, we are pushing forward in making provenance and authenticity technology available and accessible to journalists and newsrooms around the world.


In conclusion, the Charter says: “In affirming these principles, we uphold the right to information, champion independent journalism, and commit to trustworthy news and media outlets in the era of AI.”

Paul Kelly speaking at the Sports Video Group's Content Management Forum in July 2023
Paul Kelly speaking about IPTC Sport Schema at the Sports Video Group’s Content Management Forum in New York, July 2023.

The IPTC Sports Content Working Group is happy to announce the release of IPTC Sport Schema version 1.0.

The first new IPTC standard to be released in more than 10 years, IPTC Sport Schema is a comprehensive model for the storage, transmission and querying of sports data. It has been tested on real-world use cases that are common in any newsroom or sports organisation.

IPTC Sport Schema has evolved from its predecessor SportsML. In contrast to the document-oriented nature of SportsML, IPTC Sport Schema takes a data-centric approach which is better suited to systems dealing with large volumes of data and also helps with integration across data sets.

“We reached out to many companies dealing with sports content and built up a clear picture of their needs,” says IPTC Sports Content Working Group lead Paul Kelly. “They wanted up-to-date formats, easy querying, the ability to handle e-sports and the ability to cross-reference between different media and data silos. IPTC Sport Schema addresses those requirements with a new basic model at the abstract end, and adhering to common use cases to keep things grounded.”

Content in Sports Schema is represented in the W3C’s universal Resource Description Framework (RDF), which renders any kind of data as a triple in the form of subject->predicate->object. Each component of a Sports Schema triple has a reference to an ontology, which defines the model at the heart of the standard. Querying is done using the W3C’s SPARQL standard, a kind of SQL for RDF.

Schema diagram for IPTC Sport Schema, showing the entities and the relationships between them.
The schema diagram for IPTC Sport Schema, showing the entities and the relationships between them. For more information see

“The IPTC has been working on RDF and semantic web standards for more than 10 years, going back to rNews and RightsML,” said IPTC Managing Director Brendan Quinn. “So we are very happy to release another semantic standard that can help organisations to publish and share sports data in a vendor-neutral, interoperable way.”

Being RDF-based, IPTC Sport Schema can be rendered in XML, JSON and the simple Turtle format, and can be converted easily between all three formats using free tools such as Apache Jena.

“Those familiar with SportsML or SportsJS should recognise the basic components of Sport Schema,” says Kelly, “both in the ontology and in the sports vocabularies introduced with SportsML 3.0, which were designed specifically with semantic technologies in mind.”

To support take-up and share information about the new standard, the IPTC has created a dedicated website, The site contains:

Those wishing to try out some SPARQL queries against some sports data should visit Sport Schema’s query endpoint. It includes example queries showing how to build a team roster, league standings and more from our sample data sets.

For more information on IPTC Sport Schema, see the IPTC’s landing pages on the IPTC Sport Schema standard, the standalone site, or the project’s GitHub repository.

If you are interested in joining those who are working on implementing IPTC Sport Schema in your project or your organisation, we would love to hear from you. Please contact us via IPTC’s contact form.

"A reel of film unspooling and transforming into a stream of binary digits"
Made with Bing Image Creator. Powered by DALL-E.
“A reel of film unspooling and transforming into a stream of binary digits”
Made with Bing Image Creator. Powered by DALL-E.

Following the IPTC’s recent announcement that Rights holders can exclude images from generative AI with IPTC Photo Metadata Standard 2023.1 , the IPTC Video Metadata Working Group  is very happy to announce that the same capability now exists for video, through IPTC Video Metadata Hub version 1.5.

The “Data Mining” property has been added to this new version of IPTC Video Metadata Hub, which was approved by the IPTC Standards Committee on October 4th, 2023. Because it uses the same XMP identifier as the Photo Metadata Standard property, the existing support in the latest versions of ExifTool will also work for video files.

Therefore, adding metadata to a video file that says it should be excluded from Generative AI indexing is as simple as running this command in a terminal window:

exiftool -XMP-plus:DataMining="Prohibited for Generative AI/ML training" example-video.mp4

(Please note that this will only work in ExifTool version 12.67 and above, i.e. any version of ExifTool released after September 19, 2023)

The possible values of the Data Mining property are listed below:

PLUS URI Description (use exactly this text with ExifTool)

Unspecified – no prohibition defined (Allowed)


Prohibited for AI/ML training

Prohibited for Generative AI/ML training

Prohibited except for search engine indexing


Prohibited, see plus:OtherConstraints

Prohibited, see iptcExt:EmbdEncRightsExpr

Prohibited, see iptcExt:LinkedEncRightsExpr

A corresponding new property “Other Constraints” has also been added to Video Metadata Hub v1.5. This property allows plain-text human-readable constraints to be placed on the video when using the “Prohibited, see plus:OtherConstraints” value of the Data Mining property.

The Video Metadata Hub User Guide and Video Metadata Hub Generator have also been updated to include the new Data Mining property added in version 1.5.

We look forward to seeing video tools (and particularly crawling engines for generative AI training systems) implement the new properties.

Please feel free to discuss the new version of Video Metadata Hub on the public iptc-videometadata discussion group, or contact IPTC via the Contact us form.

The IPTC NewsML-G2 Working Group and the News Architecture Working Group are happy to announce the release of the latest version of our flagship XML-based news syndication standard: NewsML-G2 v2.33.

Changes in the latest version are small but significant. We have added support for the Digital Source Type property which is already being used in IPTC’s sister standards IPTC Photo Metadata Standard and IPTC Video Metadata Hub and ninjs. This property can be used to declare when content has been created or modified by software, including by Generative AI engines.

Examples of other possible values for the digital source type property using the recommended IPTC Digital Source Type NewsCodes vocabulary are:

ID (in QCode format) Name Example
digsrctype:digitalCapture Original digital capture sampled from real life:

The digital media is captured from a real-life source using a digital camera or digital recording device

Digital video taken using a digital film, video or smartphone camera

digsrctype:negativeFilm Digitised from a negative on film:

The digital image was digitised from a negative on film on any other transparent medium

Digital photo scanned from a photographic negative

digsrctype:minorHumanEdits Original media with minor human edits:

Minor augmentation or correction by a human, such as a digitally-retouched photo used in a magazine

Original audio with minor edits (e.g. to eliminate breaks)

digsrctype:algorithmicallyEnhanced Algorithmic enhancement:
Minor augmentation or correction by algorithm

A photo that has been digitally enhanced using a mechanism such as Google Photos’ “denoise” feature

digsrctype:dataDrivenMedia Data-driven media:
Digital media representation of data via human programming or creativity

Textual weather report generated by code using readings from weather detection instruments

digsrctype:trainedAlgorithmicMedia Trained algorithmic media:
Digital media created algorithmically using a model derived from sampled content

A “deepfake” video using a combination of a real actor and a trained model


The above list is a subset of the full list of recommended values. See the full IPTC Digital Source Type NewsCodes vocabulary for the complete list.

Guidance on using Digital Source Type

The IPTC Photo Metadata User Guide contains a section on Guidance for using Digital Source Type including examples for various types of media, including images, video, audio and text. The examples referenced in this guide can also apply to NewsML-G2 content.

Where Digital Source Type can be used in NewsML-G2 documents

The new <digitalSourceType> property can be added to the contentMeta section of any G2 NewsItem, PackageItem, KnowledgeItem, ConceptItem or PlanningItem to describe the digital source type of an item in its entirety.

It can also be used in the partMeta section of any G2 NewsItem, PackageItem or KnowledgeItem to describe the digital source type of a part of the item. In this way, content such as a video that includes some captured shots and AI-generated shots can be fully described using NewsML-G2.

Find out more about NewsML-G2 v2.33

All information related to NewsML-G2 2.33 is at

The NewsML-G2 Specification document has been updated to cover the new version 2.33.

Example instance documents are at

Full XML Schema documentation is located at

XML source documents and unit tests are hosted in the public NewsML-G2 GitHub repository.

The NewsML-G2 Generator tool has also been updated to produce NewsML-G2 2.33 files using the version 38 catalog.

For any questions or comments, please contact us via the IPTC Contact Us form or post to the mailing list. IPTC members can ask questions at the weekly IPTC News Architecture Working Group meetings.