CLUSTER OFFLINE-SCREEN-SELECTED · 4 ENTRIES · EARLIEST ENTRY 2026-09-06
Offline screen OCR translators
This cluster consists of desktop utilities that capture a selected screen region, recognize text offline, and either copy it to the clipboard or translate it locally without uploading files. The cluster's dated history is too thin to read a shape from -- it predates the index or its members are undated. On activity signal, screen-translator leads with 3 stars, while wl-screen-translate and SnapLingo trail at 0 stars.
Entry timeline
ENTRY TIMELINE
Each bar is the month a member carries, which is a creation date where the source published one and a crawl date otherwise. Nothing in the index was found before 11 August 2026, and coverage broadened sharply on 14–15 August, so a bar from then on reports how much we found that month, not how much was built; an earlier bar reports how far back a member's own source dated it — not how long we have been watching.
Members by activity
Activity signals, not revenue.
Build origin · 4 unlabelled
Operator · 4 hobby
Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 4 listed below. Unlabelled means nothing has decided yet — not that the answer is small.
- 01ScreenTranslator2★26 days—hobbyWindows utility that captures any screen region with a hotkey, performs offline OCR, and overlays the translation directly on the original on-screen text.
- 02wl-screen-translate0★18 days—hobbyDesktop utility that recognizes text in a selected screen region and translates it offline for Linux and Windows users.
- 03SnapLingo0★11 days—hobbyWindows utility that captures selected screen regions, recognizes text, and translates it entirely offline without uploading files.
- 04ocr0★1 mo—hobbyDesktop utility that captures a selected screen region and copies recognized multilingual text to the clipboard, fully offline.
Ranked by traction, highest first, and paged 20 at a time — this is a window on the cluster, never the whole of it. Ties are broken by a stable id so a product cannot appear on two pages or fall between them. Browse every cluster.