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AI watermark checker

AI Watermark Checker

Upload one image to review verifiable C2PA provenance, pixel-based AI probability, and supporting metadata without inventing unsupported watermark results.

Verified only
No invented provider result
C2PA
Content Credentials
Pixel model
Supporting AI probability
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JPG, PNG, WebP, or AVIF up to 10 MB
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JPG, PNG, WebP, or AVIF up to 10 MB

Analysis starts after upload. The browser reads C2PA locally and sends a privacy-reduced copy to Hive only when trusted AI provenance is not already confirmed.

AI likelihood report
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Probability this image is AI-generated
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Upload an image to calculate a probability

Deepfake probability
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Deepfake is a separate face-manipulation signal; it does not by itself mean the whole image is AI-generated.

AI watermark checks are strongest when they find signed provenance or a provider watermark. Missing signals do not prove the image is human-made or unedited.

How to read the result

0%–30% No strong AI signal; real photos and ordinary screenshots often fall here.
31%–89% Inconclusive; compression, redraws, AI edits, reposted screenshots, and mixed editing appear here more often.
90%–100% The pixel model found a strong AI signal.
100% Verified AI Not a Hive model probability; trusted signed provenance directly confirms the AI origin.

Signal breakdown

C2PA Content Credentials

Reads embedded content credentials and manifest data.

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  • Upload an image to start automatic analysis.
Meaning for the AI verdict
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Trusted AI provenance

Confirms AI provenance only when a valid credential explicitly declares generative AI use.

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  • Automatic server analysis pending
Meaning for the AI verdict
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Pixel-based AI classifier

Uses Hive pixel analysis to estimate the probability that the image is AI-generated.

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  • Automatic server analysis pending
Meaning for the AI verdict
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Deepfake signal

Separately checks for face-swap or deepfake signals.

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  • Automatic server analysis pending
Meaning for the AI verdict
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Basic metadata signals

Records format, size, dimensions, and cache hash evidence.

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  • Automatic server analysis pending
Meaning for the AI verdict
Informational only; not an AI classifier

What this AI watermark checker covers

AI watermark queries are different from generic AI detector queries. Searchers want to know whether a file contains durable provenance evidence, not just whether it looks generated.

Last updated: July 10, 2026

Invisible watermarks

Explains provider-specific watermarks and routes SynthID checks to Google’s official verifier instead of inventing a result from a general vision model.

Content Credentials

Reads C2PA locally before upload so signed provenance can be surfaced early in the review.

Metadata context

Adds file type, dimensions, and other basic details that help reviewers understand the evidence.

AI watermark types compared

Different tools use different trust signals. A good AI watermark checker separates invisible marks, signed provenance, visible labels, and ordinary metadata instead of collapsing them into one score.

Signal type
Best use
Weakness
Invisible watermark
Provider-specific evidence such as SynthID when supported.
Coverage depends on the generator and may degrade after edits.
C2PA credential
Signed origin, editing history, tool names, and AI-use declarations.
Can be stripped by platforms, screenshots, or file conversion.
Visible label
Fast human review when a platform visibly marks generated media.
Easy to crop, cover, remove, or fake.
Basic metadata
File format, dimensions, size, and limited tool context.
Useful context, but not reliable proof by itself.

AI watermark signal hierarchy

The practical rule is simple: a verified signal matters more than a visual guess. Missing evidence should be treated as inconclusive, especially for legal, editorial, moderation, or brand-safety decisions.

Strong

A watermark confirmed by its official provider verifier, or valid signed provenance that explicitly declares AI use.

Useful

Valid claim-generator data and explicit AI-use assertions inside a readable C2PA manifest.

Weak

Generic classifier scores or ordinary metadata that can help triage but should not be treated as proof.

Missing

No signal found means the checker found no supported evidence. It does not certify the image as real.

When to use an AI watermark detector

Watermark and provenance checks are best for workflows that need a defensible evidence trail.

Editorial verification

Check whether a submitted image carries AI provenance before using it in reporting or publishing.

Marketplace review

Triage product, avatar, or listing images where synthetic media disclosure matters.

Brand safety

Review influencer, ad, and user-generated creative before approval or escalation.

Moderation queues

Use strong signals to prioritize manual review without over-trusting generic AI classifier scores.

Related checks

Start with the dedicated SynthID page when the question is specifically about Google AI watermarks; it links to Google’s official signed-in verification flow.

AI watermark checker FAQ

How to read watermark, C2PA, SynthID, and metadata results.