Find possible AI watermark traces
Find zero-width characters, bidirectional controls, tag characters, joiners and variation selectors with exact code points and positions.
Detect and remove watermarks left behind by AI.
Inspect and clean possible watermark traces locally in your browser. No uploads, no account, no false certainty.
Remove AI watermarksClaude Watermark Remover
AI watermark detection and removal
Processed in this browser
TXT, MD, CSV, JSON, HTML, XML or LOG up to 2 MB0 characters
Add text to begin
Paste content or load the sample. Detection runs locally as you type.
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Characters analyzed
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Markers flagged
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Removed in this mode
Useful evidence, not a magic score.
Claude Watermark Remover reports observable text properties and keeps uncertain claims out of the result.
Keep drafts private
Text is analyzed inside your browser. The first release has no account, database or server upload.
Clean with control
Use conservative cleanup for normal text, or strict cleanup when you understand the display tradeoffs.
Take the result with you
Copy the cleaned text, replace the input for another pass, or download a UTF-8 text file.
Paste. Inspect. Decide.
Bring your own text
Paste content directly or open a supported plain text file up to 2 MB.
Review every finding
See the Unicode code point, category and character position before anything is removed.
Keep the version you trust
Choose a cleanup mode, compare the output and export only when the result looks right.
Claude Watermark Remover guide
How Claude Watermark Remover examines text
Claude Watermark Remover is a browser-based tool for writers, editors, developers and content teams that want to detect and remove possible watermarks left behind by AI. The tool examines observable text signals, explains why an item was flagged and lets you decide what should be removed instead of changing a draft without review.
Use Claude Watermark Remover when copied text behaves strangely, contains unexplained spacing or may include invisible formatting controls. The tool processes the supplied text locally, so the content stays inside the current browser while you inspect, clean, compare and export the result.
A careful five-step workflow
- 1Paste or open text in Claude Watermark Remover without changing the original file.
- 2Use the Claude Watermark Remover report to review every flagged code point and position.
- 3Let Claude Watermark Remover begin with conservative cleanup before considering strict mode.
- 4Compare the Claude Watermark Remover output with the source and check emoji, scripts and spacing.
- 5Export from Claude Watermark Remover only after the cleaned version has been reviewed.
What Claude Watermark Remover means by a watermark
In this release, Claude Watermark Remover begins with directly observable hidden text artifacts that can travel with copied content. The current detector covers Unicode and formatting characters such as zero-width spaces, word joiners, bidirectional controls and Unicode tag characters. This is one category of evidence, not a definition of every possible watermark.
Claude Watermark Remover does not treat every unusual code point as proof of AI generation. Some characters support emoji, connected writing systems or legitimate layout behavior. For that reason, the report shows the category and position of each finding and asks the user to review the evidence before cleaning.
What Claude Watermark Remover detects
Claude Watermark Remover accepts pasted content and common plain-text formats such as TXT, Markdown, CSV, JSON, HTML, XML and LOG files up to 2 MB. Detection runs as the text changes, counts characters, flags classified code points and calculates how many would be removed by the selected cleanup mode.
Every Claude Watermark Remover finding includes a human-readable type, its Unicode notation and its character position. That evidence makes the tool useful for debugging text that looks identical on screen but behaves differently in search, source control, publishing systems, prompts, code blocks or data-processing pipelines.
How Claude Watermark Remover cleans safely
Claude Watermark Remover starts in conservative mode. Conservative cleanup removes stronger invisible controls while preserving contextual joiners and variation selectors that may affect emoji or written scripts. The interface shows the cleaned output beside the source so that changes can be checked before anything is copied or downloaded.
Strict mode tells Claude Watermark Remover to remove every classified code point. It is useful when a known workflow requires plain text, but it can alter visual presentation. The cleaner therefore keeps strict cleanup opt-in and clearly states the number of removed characters rather than presenting the change as automatically safe.
Why Claude Watermark Remover is private by design
The core Claude Watermark Remover workflow runs entirely in browser JavaScript. Text is not submitted to an analysis API, stored in a database or associated with an account. Closing or refreshing the page clears the working content because the tool does not create a server-side history of submitted drafts.
Local processing makes Claude Watermark Remover appropriate for unpublished writing, internal notes and source snippets that should not be sent to a third-party detector. Users should still follow their own device and browser security policies, but the utility minimizes exposure by avoiding content uploads in the first place.
When to use Claude Watermark Remover
Writers can use Claude Watermark Remover before moving a draft between editors. Developers can use it to investigate invisible characters in configuration, prompts or copied documentation. Content operations teams can use the same report to explain why two visually similar strings fail validation or produce different search results.
Claude Watermark Remover is also useful as a final hygiene check before publishing text that has passed through chat tools, rich-text editors or document converters. Because the report exposes each change, it supports a deliberate review workflow instead of a blind find-and-replace operation that could damage meaningful characters.
What Claude Watermark Remover cannot prove
Claude Watermark Remover cannot currently detect Anthropic's unpublished statistical watermark with vendor-level certainty. Anthropic has announced embedded text watermarks, but the official third-party detection mechanism remains unavailable. The tool therefore limits its report to Unicode evidence that can be observed directly in the supplied text.
A clean Claude Watermark Remover report does not prove human authorship, and a flagged character does not prove that Claude created the content. It is an inspection and cleanup utility, not an authorship judge. Results should be combined with provenance records, editorial context and any future official detector guidance.
Use Claude Watermark Remover as an inspection tool
Claude Watermark Remover works best when the report informs a human decision. Keep the original text, examine each finding and choose the least destructive cleanup mode. The interface makes otherwise hidden text evidence visible, but it does not replace official provenance systems, disclosure requirements or responsible editorial judgment.
Detection has limits. The product should say so.
Anthropic announced embedded text watermarks and signed C2PA provenance metadata, but the technical detection method is still forthcoming.
Read Anthropic's official announcementWhat is public now
Supported Claude outputs may carry an embedded text watermark. Supported image files may also contain signed C2PA provenance metadata.
What is not public yet
Anthropic has not published the proprietary text watermark detector. This MVP currently detects directly observable text anomalies, including classified Unicode controls, and does not claim vendor-level attribution.
Clear answers
What this free first release can prove, and what it cannot.
Remove AI watermark traces from your text.
Paste or upload text to detect and remove possible AI watermark traces. Everything runs locally in your browser.