ramjke/Translumo
Advanced real-time screen translator for games, hardcoded subtitles in videos, static text and etc. observed · 2026-08-28
Health v2 · maintenance only
72/100
- Activity 87
- Release rhythm 47
- Longevity 83
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: 0.5
- age_days: 1174
- days_rel: 352
- days_push: 80
- n_releases_24m: 3
Adoption not part of the score
5697 stars · 351 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Translumo is a Windows desktop application that performs real-time screen translation by capturing on-screen text with OCR and translating it. It combines multiple OCR engines (Windows OCR, Tesseract, EasyOCR) with an ML model that scores results to maximize recognition accuracy, targeting games and hardcoded video subtitles.
Use cases
- translate hardcoded subtitles in videos in real time
- translate in-game dialogue text while playing PC games
- capture and translate static text anywhere on the screen
- combine multiple OCR engines for higher recognition accuracy
- translate Japanese or Chinese game text to English
When to choose
- you need real-time OCR translation of text that cannot be copied, like games or burned-in subtitles
- you want to combine several OCR engines and let an ML model pick the best result
- you are on Windows and want a ready-to-run desktop tool with no setup
When to avoid
- you need OCR on Linux or macOS, as it is Windows-only
- you need to translate languages outside its supported recognition set (English, Russian, Japanese, Chinese, Korean)
- you want a library or API to embed OCR into your own application rather than a standalone app
Facets
application · maturity active
ocr internationalization machine-learning image-processing gaming-tools desktop-applications windows dotnet screen-translation real-time-ocr game-translation hardcoded-subtitles easyocr tesseract deepl natural-language-processing localization desktop
1 source
- readme: https://github.com/ramjke/Translumo · fetched 2026-08-28 · f2fa437f929c
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| ramjke/Translumo | main | 72 |
For agents
markdown · JSON · MCP: product_card(name="ramjke/Translumo")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem