franklioxygen/v2s

Live bilingual subtitles for any app on macOS. Captures audio, transcribes speech, and translates offline — all from your menu bar.

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Summary Information

Updated 47 minutes ago
Type:ApplicationCategory(s):Voice & Speech AIAI Agents & LLM Apps
Added to GitGenius on September 17th, 2026
Created on March 17th, 2026
Open Issues & Pull Requests: 1 (+0)
GitHub issues: Enabled
Number of forks: 64
Total Stargazers: 469 (+0)
Total Subscribers: 0 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 0.6 hours
Mean response time: 8.0 days
90th percentile: 39.4 days
Tracked items: 12

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 26% of issues opened in the past year have been closed. Three people close 83% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 1
New in 7 days: 1
Closed in 7 days: 0
Avg open age: 0 days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

Opened in 7 days: 1
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

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Detailed Description

v2s is a macOS application that provides live bilingual subtitles for any app by capturing audio, transcribing it, and translating the results entirely offline.

The tool solves the problem of following audio content in unfamiliar languages or with poor audio quality by running speech-to-text and translation directly on your machine. It captures system audio, transcribes the speech using local models, and translates the transcription into another language, all without sending data to external servers. The entire workflow operates from the menu bar, making it accessible while you use other applications.

This approach suits macOS users who need real-time subtitle generation for videos, calls, or other audio sources and want to avoid cloud dependencies or latency. The offline-first design means no internet connection is required and no audio leaves your computer. Anyone concerned about privacy or working in environments with limited connectivity will find this particularly valuable. The tool handles any app on macOS that produces audio, making it broadly applicable rather than tied to specific platforms or services.

Development activity shows consistent engagement with the codebase. The project receives regular commits addressing bugs and adding features. Pull requests are reviewed and merged, indicating active maintenance. Issues are opened and closed, suggesting the maintainer responds to user feedback and identified problems. The project maintains a public roadmap or issue tracker where future work is visible to users.