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Based on China’s AI-Generated Content Labeling Measures and companion national standards

Is your AI-generated content
label-compliant?

Upload an image or video to check explicit labels, implicit metadata, and C2PA provenance credentials item by item, with verdicts and fix guidance mapped to regulatory requirements. Files are parsed locally in your browser and never touch a server.

In effect since 2025-09-01Dimensions Explicit / Implicit / C2PAData processing 100% local
LabelCheck · Local Analysis · V2.0

What the regulation actually requires

The Measures for Labeling AI-Generated Synthetic Content, effective September 1, 2025, establish a dual-layer obligation of explicit + implicit labels: both layers are mandatory. A closing line like “written with AI assistance” only covers the explicit layer.

Responsibility sits at the publishing and distribution step — even if your generator adds its own watermark, once the label is missing or stripped at publish time, the compliance gap is yours.

Key provisions at a glance
  • Explicit label
    A user-perceivable noticeImage corner badges, video opening-frame notices, text disclaimers — placement and style must follow the national standard
  • Implicit label
    Written into file metadataMust include generator identity, content ID and more; compression, transcoding, and platform re-encoding can all strip it
  • Distribution
    Platforms must verify and add labelsPlatforms should add risk notices to unlabeled content; publishers have an active declaration duty
  • EU / California
    A separate rulebook for overseas contentEU AI Act Article 50 watermarking duty (grace period ends December 2026); California SB 942 already in force

Where labels usually get lost

Labeled at generation ≠ compliant at publish. Every step between generation and publishing can lose the label — which is exactly why checking exists.

01
Screenshots / saving preview images

A screenshot is a brand-new file: none of the original metadata (including the C2PA credential) carries over. This is the most common way labels are lost.

02
In-app saving and forwarding

Some AI tools’ in-app previews are processed copies; social platforms systematically strip metadata on upload. Always use the “download original” button.

03
Editing, compression, transcoding

Editor exports, format conversion, and re-compression rewrite the file structure — implicit metadata written earlier is often stripped wholesale at this step.

04
Where the duty lands at publish time

In practice, AI content with its label removed still publishes normally on most platforms — the system won’t stop you, but the responsibility remains yours.

FAQ

I generate images with Jimeng / Kling / Doubao, which add their own watermark. Do I still need to check?+
Yes. The platform watermark only covers the moment of generation. If you crop, edit, compress, export without the watermark, or distribute across platforms, the label may already be gone. This check answers “is it compliant right now, at publish time?”
Why does an obviously ChatGPT/AI-generated image show no trace at all?+
Two possibilities. First, you may not be testing the original downloaded file: screenshots, saved in-app previews, and forwarded copies are all brand-new files without the original metadata — OpenAI itself confirms that in-app handling strips C2PA blocks. Use the chat UI’s “download” button and test that file instead. Second, since 2026 some vendors have switched to pixel-level invisible watermarks (e.g. SynthID), embedded in pixels rather than metadata and readable only by the vendor’s official detector. Note: no trace found does not mean it isn’t AI-generated — it only means this file currently carries no machine-readable label, and publishing it as-is is non-compliant.
Will a “non-compliant” result be recorded or reported?+
No. All parsing happens in your own browser: files are not uploaded and results are not retained. Downloaded reports stay on your device only.
What is the report actually useful for?+
Two things: pre-publish self-checks to avoid downranking and takedowns; and record-keeping — in a regulator or platform review, evidence of “having taken compliance verification measures” is key to mitigating liability.
Is the check equally deep for video and images?+
No. Images get full parsing of PNG/WebP metadata chunks, EXIF/XMP, and the C2PA manifest; video currently gets a container-level box scan plus C2PA signature matching. Visible labels (corner badges, opening-frame notices) require manual review against the picture, and the tool provides a checklist.
What should I do after a non-compliant result?+
Follow the fix guidance in the report: add a visible badge in the national-standard style, write implicit metadata in the final step before publishing, and embed a C2PA provenance credential for overseas-bound content. Batch processing will arrive in a later version.