Overview
Detect and remove hidden AI watermarks, invisible characters, smart punctuation and Markdown residue — 100% locally.
See and remove hidden AI fingerprints and "tells" in any text: invisible watermark characters, machine typography, and clichés. 100% on-device. Privacy-focused: No data is collected or transmitted. TextWash x-rays your text for the fingerprints AI assistants leave behind — then washes them out in one click. WHAT IT DETECTS • Invisible Unicode watermarks: zero-width spaces, narrow no-break spaces (U+202F, the famous ChatGPT tell), soft hyphens, byte-order marks and 30+ more • Machine typography: curly quotes, em dashes, real ellipsis characters, fullwidth and lookalike letters (fake Unicode "bold") • Markdown residue from chat apps: **bold** markers, # headers, [links](url), backticks • 200+ AI cliché phrases ("delve", "a testament to", "key takeaways") in English, Spanish, French, German, Portuguese and Italian — flagged, never auto-rewritten, so the fix stays in your voice • Lookalike Cyrillic/Greek letters hiding in Latin text • An AI slop grade from A+ to F, based on fingerprint density Character-level detection works in every language. HOW IT WORKS Paste text into the popup. The fingerprint report lists every finding by name and Unicode code point, the x-ray view shows exactly where each hidden character sits, and one click removes all the technical fingerprints. Copy the clean text and go. WHAT MAKES IT DIFFERENT Everything runs on your device. No account, no server, no upload, no tracking — the popup works even offline. Unlike subscription "humanizer" services that push your words through another AI, TextWash is deterministic and transparent: every change is shown character by character, and your words are never rewritten. Also available as a free web app with file support (.docx, .pdf), a side-by-side compare mode, a paragraph heatmap and more at https://textwashapp.com Free forever, no word limits. If it saved your essay, application, or newsletter — the coffee link is the whole business model.
Details
- Version1.0.1
- UpdatedJuly 11, 2026
- Size21.84KiB
- LanguagesEnglish
- DeveloperWebsite
Email
info@mandorum.com - Non-traderThis developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.
Privacy
This developer declares that your data is
- Not being sold to third parties, outside of the approved use cases
- Not being used or transferred for purposes that are unrelated to the item's core functionality
- Not being used or transferred to determine creditworthiness or for lending purposes
Support
For help with questions, suggestions, or problems, visit the developer's support site
