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Guide

What IPTC DigitalSourceType actually is

When a plugin says it "embeds machine-readable AI metadata," this is the tag it means. DigitalSourceType is a small, standardised piece of provenance that says how a media file was made, and it's the field that marks an image as AI-generated.

A studio assistant pressing a provenance seal onto a photo print beside a card catalogue of tagged images

Practical guide · last reviewed August 2026

01SummaryIPTC Photo Metadata

The short version

  • 01 DigitalSourceType is an IPTC vocabulary tag that records how a file was created: camera photo, illustration, or AI-generated.
  • 02 For AI images the value is trainedAlgorithmicMedia, the same value C2PA uses, so it's forward-compatible with Content Credentials.
  • 03 It lives inside the file (in the XMP block) and is mirrored on the page as schema.org JSON-LD, so both tools and search engines can read it.

DigitalSourceType is an IPTC vocabulary tag that records how a file was created: camera photo, illustration, or AI-generated.

For AI images the value is trainedAlgorithmicMedia, the same value C2PA uses, so it's forward-compatible with Content Credentials.

It lives inside the file (in the XMP block) and is mirrored on the page as schema.org JSON-LD, so both tools and search engines can read it.

02The vocabularyIPTC

Who's IPTC, and why this tag?

IPTC is the standards body behind the metadata newsrooms and photo agencies have used for decades (the caption, credit and copyright fields baked into image files). Its Photo Metadata standard added DigitalSourceType to answer a new question: how was this image actually made? Because it's an existing, widely-supported standard, not a proprietary flag, a value written here is understood across the tools that already read image metadata.

03The values3 AI values

The values AIM Transparency writes

For AI content, AIM Transparency writes one of these three controlled-vocabulary URIs, depending on how you flag the image:

AI-generated

http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia Created wholly by a generative model (Midjourney, DALL·E, Firefly, Stable Diffusion…). This is the value that triggers the "AI Generated" badge.

AI-edited / composite

http://cv.iptc.org/newscodes/digitalsourcetype/compositeWithTrainedAlgorithmicMedia A real image meaningfully altered or combined with AI-generated elements (generative fill, AI compositing). Shown as "AI Modified".

Algorithmic (non-AI)

http://cv.iptc.org/newscodes/digitalsourcetype/algorithmicMedia Made by a program but not a trained model: a fractal, a formula-generated pattern, a procedural render. (Charts and data visualisations have their own IPTC value, dataDrivenMedia.) Recorded for provenance, but it's not AI, so no badge is shown.

Created wholly by a generative model (Midjourney, DALL·E, Firefly, Stable Diffusion…). This is the value that triggers the "AI Generated" badge.

A real image meaningfully altered or combined with AI-generated elements (generative fill, AI compositing). Shown as "AI Modified".

Made by a program but not a trained model: a fractal, a formula-generated pattern, a procedural render. (Charts and data visualisations have their own IPTC value, dataDrivenMedia.) Recorded for provenance, but it's not AI, so no badge is shown.

The plugin also writes the human-provenance values: digitalCapture (a photo captured with a real camera), digitalCreation (human-made digital or 3D work, no generative AI) and composite (a mix of non-AI elements, such as photos + renders). These carry embedded metadata and JSON-LD with no badge by default, so you can answer “was this AI?” honestly for work that wasn’t.

04Where it livesXMP + JSON-LD

Where the tag actually lives

Two places, on purpose:

  • Inside the file (XMP). Written into the image's XMP packet as Iptc4xmpExt:DigitalSourceType, so the mark travels with the file when it's downloaded, emailed or re-uploaded.
  • On the page (JSON-LD). Mirrored as schema.org ImageObject with the same IPTC DigitalSourceType, a supplementary layer on top of the embedded tag, which is what search engines actually read to label AI images.

05Why botherThe machine-readable half

Why it's worth doing (not just the badge)

A visible badge is the human disclosure (EU AI Act Article 50(4)). The embedded metadata is the machine-readable half (the spirit of Article 50(2)): it lets detection tools, platforms and search engines recognise the image as AI even with no badge in sight. And because trainedAlgorithmicMedia is the same value the C2PA / Content Credentials ecosystem uses, you're aligned with where provenance standards are heading rather than betting on a one-off flag. See the EU AI Act guide for how the two duties fit together.

06The toolingFree on WordPress.org

How AIM Transparency writes it

When you flag an image, the plugin embeds the correct DigitalSourceType value into the file. Every format is handled in pure PHP with no server tools needed: JPEG, PNG, WebP, GIF, TIFF and AVIF, plus HEIC and HEIF, all on the free plan. Pro adds a library scanner that re-writes the mark if an image optimiser removes it, and adopts provenance already declared inside your existing, unflagged images. You can verify a file's tag with any XMP-aware viewer (or exiftool -DigitalSourceType image.jpg).

07Questions3 answered

FAQ

Is DigitalSourceType the same as a C2PA "Content Credential"?
They're complementary. C2PA is a richer, cryptographically-signed provenance manifest; IPTC DigitalSourceType is a lightweight, universally-readable tag. C2PA uses the same trainedAlgorithmicMedia value, so writing the IPTC tag keeps you compatible.
Do social platforms read it?
Increasingly, yes: several platforms surface an "AI info" label when they detect standard AI provenance metadata like this. Coverage varies and is growing.
Does editing or compressing an image remove it?
It can. Some optimisers and re-uploads strip metadata. That's exactly why the robust approach pairs the embedded tag with a visible badge, and why Pro's strip-guard re-embeds the mark automatically.

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