Menu

I built an on-device voice-to-text app: runs locally, no cloud, no accounts. Linux/Mac/Windows.
πŸ“°
0

I built an on-device voice-to-text app: runs locally, no cloud, no accounts. Linux/Mac/Windows.

Reddit r/selfhostedΒ·u/matpbΒ·about 1 month ago
#bwcVzowz
#device#cloud#transcription#zero#article#audio
Reading 0:00
15s threshold

I built an on-device voice-to-text app: runs locally, no cloud, no accounts. Linux/Mac/Windows. Hey r/selfhosted β€” I'm a solo dev. I built Wspr for myself because I wanted a voice-to-text app where on-device transcription was the whole point, not an afterthought. Audio never leaves your machine; all speech-to-text runs through whisper.cpp with GPU acceleration locally. Key bits for this sub: \- On-device Whisper models from tiny (\~75MB) to large-v3 (\~3GB), your pick \- Zero accounts, zero telemetry, zero cloud calls for transcription \- Optional AI text rewriting (cleanup mode, professional tone) uses your own OpenAI/Anthropic/Gemini API key β€” bring your own provider, nothing proxies through my server \- Native binaries: .deb, .AppImage, .dmg, .exe β€” no Electron, no Docker \- File transcription supports MP3/WAV/M4A/MP4/MOV/MKV β€” useful for meeting recordings, podcasts, lecture videos Tech: Rust + Tauri, \~50MB binary, \~50–200MB RAM at idle.…

Continue reading β€” create a free account

Join HashtagPLUS to read full articles, follow hashtags, vote, and join the conversation.

Read More