Search “watermark remover” and you'll find dozens of browser tools promising a clean, undetectable file in one click. The problem is not that they do nothing — it's that they do one thing (usually a metadata strip or a crude crop) while implying they solved every layer. AI Stripped is built on the opposite premise: name the layers, handle each honestly, and report what remains uncertain.
Multi-layer, not single-trick
Provenance lives in at least three places: container metadata, visible marks, and embedded pixel signals. A tool that only strips metadata leaves a SynthID-class watermark fully intact while telling you the file is “clean.” AI Stripped runs a deterministic metadata/C2PA strip, a visible-mark stage, and an embedded-signal disruption stage — and tells you which ones actually ran.
Honesty as a feature
- No “100% undetectable” language — the API permanently exposes claims.undetectable=false.
- Every run returns an action report separating changes made from residual uncertainty.
- Neural stages only claim to have run when GPU weights were actually available — never a faked pass.
- Absence of a signal is never presented as proof content is human-made.
Built for real workflows
- Batch processing with one profile across many files.
- Scoped API keys and job-completion webhooks for automation.
- Configurable retention, encrypted transport, and explicit deletion controls.
- A run history you can reopen, review, and re-download.
Best-effort, multi-layer, and reported honestly — originals always preserved.