"Made with AI" label signals

Remove AI label signals from images

Platforms show a "Made with AI" label when they detect C2PA Content Credentials or IPTC AI-disclosure metadata in your image. RAIW strips those signals — free for metadata, paid for invisible pixel watermarks.

Clean AI label signals

Choose your platform

Each platform has its own signals and detection behavior. Pick yours for a specific guide:

What triggers the AI label

Platforms use automated systems to detect generated images by reading embedded metadata. The two primary triggers are:

  • C2PA Content Credentials - provenance manifests embedded by most AI image generators (ChatGPT, Adobe Firefly, Google Gemini, Canva AI)
  • IPTC digitalSourceType - an XMP field marking the image as algorithmically created or AI-edited

These triggers also fire for minor AI edits: a single Photoshop Generative Fill brushstroke marks the image as compositeWithTrainedAlgorithmicMedia, which still labels the image as AI.

What RAIW removes — and what it cannot

The free mode strips the C2PA Content Credentials manifest, the IPTC digitalSourceType field, and other AI provenance metadata — for free, no account required.

What we cannot do: some platforms (Instagram, Pinterest) also run a proprietary pixel-level classifier that operates independently of metadata. Stripping metadata does not disable that classifier. Competitors who claim to "bypass detection" are overclaiming.

The paid All-in-one mode disrupts invisible pixel watermarks (SynthID and similar) that some platform classifiers may also check — but no tool can guarantee a result against a closed, evolving classifier.

Processing and privacy

  • Free: Metadata strip happens instantly on our backend at no cost.
  • Data handling: We may keep uploaded files and results for up to 90 days to run and improve the service, then delete them; we never sell them.
  • No account required.

Related tools

Remove the Instagram AI label

Platform-specific guide including the Meta pixel classifier caveat.

Remove the LinkedIn CR badge

C2PA only — reliably removed, no pixel classifier involved.

Remove C2PA Content Credentials

Deep dive into exactly how C2PA manifests are stripped.

Remove invisible SynthID markers

For the pixel layer that metadata removal cannot touch.

Frequently asked questions

What triggers the 'Made with AI' label on social platforms?
The two primary triggers are C2PA Content Credentials — a signed manifest embedded by most AI image generators — and the IPTC digitalSourceType XMP field. This also applies to minor AI edits: Photoshop's Generative Fill marks images as 'compositeWithTrainedAlgorithmicMedia', which still triggers the label.
Which platforms reliably remove the label after a metadata strip?
LinkedIn is the cleanest case: it checks C2PA only, so the strip reliably removes the badge. X (Twitter) is similar. Instagram and Pinterest also run pixel-level classifiers independent of metadata — the label usually disappears after metadata removal, but is not guaranteed. See the per-platform guides for details.
Does RAIW remove the label from Photoshop Generative Fill edits?
Yes. Photoshop embeds a C2PA manifest marking the image as 'compositeWithTrainedAlgorithmicMedia', which triggers the label even for minor AI edits. RAIW strips that manifest, removing the label signal.
Can RAIW guarantee the label will disappear?
No. Metadata removal is definitive for the file — the signals are gone. But some platforms (Instagram, Pinterest) also run proprietary pixel classifiers that operate independently of metadata. Competitors who promise to 'bypass detection' are overclaiming. RAIW removes what can be removed and is honest about the limits.
Is RAIW free?
Removing the C2PA manifest, IPTC fields, and other AI metadata is completely free. The paid All-in-one mode also disrupts invisible pixel watermarks (SynthID and similar) that some platform classifiers may check.
Clean AI label signals

No signup required. Visible and metadata removal always free. GPU modes cost $1.49 per image. Supports PNG, JPG, WebP, AVIF, and HEIC.