STRIP AI FINGERPRINTS — 100% CLIENT-SIDE

Remove AI Metadata

Strip C2PA content credentials, XMP AI generation tags, and tool fingerprints from Midjourney, DALL-E, Stable Diffusion, and Adobe Firefly images.

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📄 remove-ai-metadata.md

#Remove AI Metadata

Strip C2PA content credentials, XMP AI generation tags, and tool fingerprints from Midjourney, DALL-E, Stable Diffusion, and Adobe Firefly images.


STRIP AI FINGERPRINTS — 100% CLIENT-SIDE

##Content credentials mark AI images

C2PA (Coalition for Content Provenance and Authenticity) is a technical standard backed by Adobe, Microsoft, Google, and OpenAI. It embeds cryptographic 'content credentials' into AI-generated images that permanently mark them as machine-made.

What's embedded:c2pa.ai_generated: true | tool: midjourney-v6.1 | signed manifest

Social platforms, search engines, and stock sites are beginning to detect and flag C2PA-tagged content automatically.


##AI markers in standard metadata

Beyond C2PA, AI tools embed markers in standard XMP and IPTC fields. Midjourney sets CreatorTool, DALL-E adds 'AI generated' descriptions, and Adobe Firefly marks images with the IPTC DigitalSourceType field.

What's embedded:Iptc4xmpExt:DigitalSourceType: trainedAlgorithmicMedia

Even without C2PA, standard metadata readers can identify AI images from these fields.


##Watermarks beyond metadata

Some AI tools embed invisible watermarks directly into pixel data (steganographic watermarking). Google's SynthID and Meta's watermarking are examples. These survive metadata stripping, screenshots, and even mild editing.

Important note:Pixel-level watermarks cannot be removed by metadata stripping

MetaStrip removes metadata-based AI tags, but steganographic watermarks require different approaches.


##Who's checking for AI metadata?

Google Search is experimenting with AI image labels. Adobe Stock rejects AI-tagged submissions. Social platforms including Facebook and Instagram now display 'AI Generated' labels on flagged content. Getty Images bans AI-generated content entirely.

Growing enforcement:Google, Meta, Adobe, Getty, Shutterstock — all checking

Content flagged as AI-generated may be demoted in search, labeled on social media, or rejected by platforms.


##What's hidden in your files

CategoryFieldExample value
C2PA Content Credentialsc2pa.actionc2pa.created
c2pa.ai_toolMidjourney v6.1
c2pa.ai_generatedtrue
c2pa.digestsha256:a4f2e8...
XMP AI Tagsxmp:CreatorToolMidjourney
dc:descriptionAI-generated image
photoshop:CreditGenerated with AI
Iptc4xmpExt:DigitalSourceTypetrainedAlgorithmicMedia
Generation Parametersparameters--v 6.1 --ar 16:9 --style raw
prompt_hashd8f3a2b1...
model_version6.1
Generation TimestampsCreated2025-02-28T22:14:08Z
xmp:MetadataDate2025-02-28T22:14:08Z

##Supported formats

JPEGC2PA manifests, XMP AI tags, IPTC DigitalSourceType, generation params
PNGC2PA content credentials, tEXt generation parameters, XMP
WebPXMP AI metadata, embedded generation data

##Why remove AI metadata from generated images?

AI image generators including Midjourney, DALL-E, Stable Diffusion, and Adobe Firefly now embed metadata that identifies images as AI-generated. This includes C2PA content credentials, XMP AI tags, IPTC digital source type markers, and tool-specific generation parameters.

As platforms increasingly detect and label AI content, this metadata has real consequences. Google is testing AI image labels in search results. Meta displays 'AI Generated' tags on Instagram and Facebook. Stock photo platforms reject AI-tagged submissions. Some job boards and academic institutions check for AI generation markers.

MetaStrip removes all metadata-based AI identification tags from your images. This includes C2PA manifests, XMP AI markers, IPTC DigitalSourceType fields, and embedded generation parameters. Processing happens entirely in your browser — no upload required.

Important note: MetaStrip removes metadata tags, not steganographic watermarks. Some AI tools embed invisible pixel-level watermarks (like Google's SynthID) that survive metadata removal. For most use cases, metadata removal is sufficient, as the majority of automated detection systems rely on metadata rather than pixel analysis.


metastrip v2.0 — privacy-first metadata removal — all processing happens in your browser