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Click, then drag over any text on the page — even inside images and videos — to copy it. On-device OCR in 50+ languages. TextNab lets you copy text that's stuck inside images and videos — lecture slides, tutorial videos, screenshots, memes, scanned pages, and more. Just click, drag over the text, and it's copied. HOW IT WORKS 1. Click the TextNab icon (or press Alt+Shift+O). 2. Drag a box over the text — even inside an image or a paused video. 3. The text appears in a small card and is copied to your clipboard. Edit it if you like. WHY TEXTNAB • 100% on-device — your images and text never leave your browser. No servers, no account, no sign-up. • Works offline — because there's no server to depend on, it keeps working with no internet. • 50+ languages — 11 built in (English, Bengali, Hindi, Urdu, Arabic, Spanish, French, German, Portuguese, Italian, Russian) and 35+ more that download once, then work offline. A language picker lets you switch and re-read instantly. • Reads mixed lines — the default "Auto" mode reads a line that mixes English and Bengali together. • Ignores icons — it filters out gibberish from icons/graphics so you get the text, not noise. • Free. GREAT FOR Students copying notes from lecture videos • developers copying code from tutorials • researchers pulling text from images and PDFs • anyone who values privacy. PRIVACY TextNab reads text on your device only. It collects no data. The only network request is a one-time language-pack download from a public model host (tessdata.projectnaptha.com) — it contains none of your data. See our privacy policy. SUPPORT: saudasannvi@gmail.com
Aug 22, 2026
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.