3 items
Right-click any image to select and copy the text inside it. OCR runs in your browser — images never leave your device. Screenshots are where text goes to die. Page Text brings it back. SELECT AND COPY Right-click any image and choose "Select text in this image". A transparent, selectable text layer appears over the picture — drag to select, copy with Cmd/Ctrl+C, or hit "Copy all". Works on screenshots, photos of documents, slides, error messages, anything with text in it. FIND INSIDE IMAGES Press Alt+Shift+F. Your browser's own find bar stops at the edge of an image; this one doesn't. Type a word and every image on the page containing it lights up, with the matching line highlighted. Images are read in the background as you scroll, so search is instant once a page is indexed. JAPANESE AND ENGLISH PP-OCRv5 reads both, including mixed lines. 100% ON-DEVICE There is no server and no API key. The OCR models (~43 MB) are downloaded once from Hugging Face, cached, and then run locally: text detection on WebGPU, recognition on multithreaded WebAssembly, via LiteRT.js. Your images are never uploaded — there is nowhere for them to go. - Works offline after the one-time model download - Free, no account, no tracking, no analytics - Results are cached per image, so revisiting a page costs nothing - Open source: https://github.com/john-rocky/page-voice
Aug 16, 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.