1 item
Text Watermark Remover (T.M.R.) automatically removes invisible watermark characters—such as zero-width spaces (U+200B) and narrow… Text Watermark Remover (T.M.R.) automatically removes invisible watermark characters—such as zero-width spaces (U+200B) and narrow no-break spaces (U+202F)—from any text you copy. These characters are often used to track or fingerprint AI-generated content or user behavior, and can silently interfere with formatting, document structure, or content analysis. [ Key Features ] 1. Real-Time Cleaning Automatically intercepts all copy operations (keyboard, mouse, and script-based) and removes hidden watermark characters before they reach your clipboard. 2. Per-Site and Domain-Based Control Apply cleaning globally, per site, or to custom domain patterns using simple wildcard rules. (e.g., https://www.google.com/*) 3. Minimal and Secure by Design All logic runs locally in the browser. No external communication. No data collection. No unnecessary permissions. [ Why Users Should Install ] Many modern websites and AI tools insert invisible Unicode characters into copied text for tracking or watermarking purposes. These characters: - Can break formatting in code editors, documents, or emails - Cause false positives in plagiarism detectors or diff tools - May expose the use of AI-generated content unintentionally Text Watermark Remover ensures you always copy clean, visible, and reliable text, without silent interference or hidden metadata.
May 3, 2025
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.