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Claude Watermark Remover
Clean invisible characters from text and AI metadata from supported files. Processing happens locally in your browser.
Maximum text length: 500,000 characters
Cleaned text
Paste the text you want to inspect and clean here.
Humanizer Skills for your editor
Clean text regularly? Automate the whole workflow.
The 8 Humanizer Skills bring Unicode cleaning, thorough reconstruction, proofreading, and clean typography directly into Claude Code, Codex, and other coding agents. German and English versions are included in one bundle.
The watermark audit is not an official SynthID detector and does not guarantee a particular detector result.
$117 one time, no subscription, plus VAT
Explore Humanizer SkillsFrequently asked questions
What the Claude Watermark Remover removes and where its limits are
Anthropic has not published a standard that lets anyone identify every Claude text with certainty. This tool therefore checks for general technical traces such as invisible Unicode characters and metadata. It does not claim to hide the origin of a text.
The cleaner covers free standing zero width characters, bidirectional controls, tag characters, variation selectors, and unusual spaces. Valid characters used in emoji, writing direction, and writing systems are preserved where possible in the safe default mode.
There is no guarantee. Statistical methods can spread a signal across the wording of a whole text. Stage 2 therefore reconstructs sentence structure and longer sequences. A candidate is returned only after it passes both the distance audit and a separate semantic and writing-quality review. This can greatly reduce SynthID confidence, but it does not replace a suitable detector.
Stage 1 runs entirely in your browser and removes verifiable Unicode carriers and supported metadata. Stage 2 hands the cleaned text to the AI Humanizer, which rebuilds it from a content map. The audit checks two-word and four-word sequences, length, exact values, and then semantic equivalence. This second stage is optional and does not guarantee a SynthID result.
Initial inspection and cleaning run locally in your browser. The daily usage check sends only a short request without your content. If you then start the optional AI rewrite in the AI Humanizer, the text is sent to Gradually AI and the AI provider.
The first version supports plain text, Markdown, HTML, SVG, PNG, JPEG, and WebP. For images, the tool removes metadata. Visible logos or watermarks in image pixels stay unchanged.
No. For PNG, JPEG, and WebP files, the tool only removes supported provenance metadata without encoding the image pixels again. A visible logo or a SynthID signal embedded in the pixels remains intact. You can retouch a visible logo in an image editor. This tool does not verify or guarantee whether an edit weakens SynthID enough.
For text, unusual spaces may be normalized and invisible controls may be removed. For images, image data is preserved while supported metadata is removed. Check the result before replacing the original file.
The local stage leaves visible text and ordinary formatting largely unchanged. The optional AI rewrite checks URLs, email addresses, dates, times, units, versions, technical identifiers, numbers, quotations, and code for exact preservation. A second review also compares claims, names, and logical relationships. You should still read complex HTML, Markdown, and technical material before publishing it.
Yes. The technical cleaner is not limited to Claude. It looks for general invisible Unicode carriers and supported metadata. A finding does not prove which AI tool created the content, and a clean result does not prove that a person wrote it.
In that case, the text or file contains none of the verifiable traces that the tool can safely remove. This does not prove human authorship or confirm that no statistical signal exists. The report only covers the characters and metadata the tool actually inspected.
Yes. AI detectors return probabilities and can misclassify human writing as well. Local cleaning removes technical traces, not every stylistic signal. A thorough rewrite may change a detector result, but it cannot guarantee one or prove where the text came from.
Changelog
The latest updates and improvements to our Claude Watermark Remover
v1.4.0August 24, 2026
More targeted reconstruction
- Newly added numbers, URLs, identifiers, quotations, and code are rejected just like missing details
- Long verbatim prose passages become targeted hints for the second pass
- The second pass changes only flagged passages, then rechecks meaning and writing quality
v1.3.0August 24, 2026
Clearer flow and Humanizer Skills
- Added a Humanizer Skills link for Claude Code, Codex, and other coding agents
- Stage 2 now appears only after cleaned text is available
- Removed the decorative Unicode scan card and separate privacy and permission notices from the introduction
v1.2.0August 21, 2026
Quality-gated reconstruction
- Four-word sequences as an additional distance signal without forced synonym churn
- Protection for dates, times, units, versions, and technical identifiers
- Separate checks for meaning, completeness, clarity, and writing quality
- A Unicode cleanup pass before and after AI reconstruction
- Original fallback for short text or candidates that cannot be verified safely
v1.1.0August 20, 2026
Two-stage reconstruction
- Private handoff to the AI Humanizer without putting text in the URL
- Up to two reconstruction passes for statistical text patterns
- Surface-distance checks plus preservation of numbers, URLs, email addresses, quotations, and code
- Stricter file validation and more precise metadata cleaning
v1.0.0August 20, 2026
Official launch
- Local cleaning of invisible characters in text
- Metadata cleaning for PNG, JPEG, and WebP
- Support for TXT, Markdown, HTML, and SVG
- Transparent report of removed and replaced characters
- Clear limitations without false detection claims