AI Label Checker – Check Images & Videos for AI Signals
Analyze an image or video for C2PA Content Credentials, AI-related metadata, editing-software markers, and export history — the exact file-level signals platforms can use when deciding whether to apply an AI-generated label.
Drop an image or video here
or browse files
Supports JPG, PNG, WebP, HEIC, MP4, MOV, WebM • Max 50MB • Everything stays in your browser
How to AI Label Checker – Check Images & Videos for AI Signals
Upload an image or video
Drop in a JPG, PNG, WebP or video file from your device. Everything is processed locally in your browser.
Review detected signals
See C2PA Content Credentials, AI-related EXIF/IPTC/XMP fields, and editing-software markers grouped by severity.
Preview what would be removed
Before touching your file, see exactly which metadata fields a cleanup would strip out.
Remove metadata & re-check
Strip the detected metadata, then run the cleaned file through the checker again to confirm the signals are gone.
Download your report
Export a plain-text report of everything the checker found for your records.
Why Choose Our AI Label Checker?
C2PA Content Credentials detection
Scans for C2PA / Content Credentials signatures — the open standard used by major cameras, Adobe, and generative AI platforms to record provenance.
AI-related metadata signals
Detects fields like Software, CreatorTool, History, ORIGINAL-MEDIA-TYPE, and Generative AI tags that platforms use to infer AI involvement.
100% Browser-Private
Your file never leaves your device. No uploads, no storage, no tracking of what you check.
Honest by design
Clear 'potential signal' wording, no fake AI-confidence percentages, and no fabricated claims about what the file was.
Works with video too
Analyzes video containers for editing software markers, creator tools, and AI-related tags.
Safe metadata removal
Removal preserves the actual pixels and encoding — output stays visually identical while embedded metadata is stripped.
What is AI Label Checker?
An AI label checker inspects the metadata inside an image or video file for the digital footprints that platforms — like social networks and search engines — can use when deciding whether to attach an "AI-generated" label to your content. As generative AI tools became mainstream, detecting whether a picture was made by a person or an algorithm moved to the center of content authenticity discussions.
Most detection happens at two levels. First, signal-based detection looks at visible artifacts — unnatural hands, distorted text, warped geometry. Our tool does not do pixel-level detection. Instead, we focus on the second level: file-level provenance and metadata signals. When content is created or edited, software embeds a trail of information — the program used, timestamps, creator tools, special tags for AI workflows, and occasionally tamper-proof content credentials.
What file-level AI signals looks like
The most important is C2PA Content Credentials (backed by the Coalition for Content Provenance and Authenticity). C2PA uses cryptographically signed data embedded in a file to record its edit history — which captures changes made with tools like Photoshop, and signatures written by generative models. A file with an active C2PA Content Credential saying "Generated by an AI tool" will almost certainly receive an AI label on platforms that honor the standard.
Beyond C2PA, our checker examines classic metadata blocks: EXIF (camera and image settings), IPTC (descriptive fields like caption and keywords), and XMP (Adobe's extensible metadata format). In those blocks, fields such as Software, CreatorTool, Description, or History have been found containing AI-related strings — for example a generator's name, prompt tokens, or model identifiers. We also scan watermark/tag blocks such as TruePic and JUMBF, using a curated, continuously updated pattern list.
Why the wording matters
We deliberately avoid making absolute claims. Metadata tells you signals are present or absent in the file — it does not prove how the content was created. A photo can carry AI-related fields for innocent reasons (AI-powered editing already exists inside many phones and cameras), and an AI image can be scrubbed clean of metadata before upload. That is why our results are phrased as "potential signal detected" and never as "this is 97% AI-generated".
If you need to remove AI-related metadata before publishing, our companion removal step strips the flagged blocks while keeping the pixels and encoding untouched — the visual result is identical to the original.