Batch-transcribe audio files locally using OpenAI Whisper AI. No internet connection. No subscription. No data leaves your machine.
Whisper runs entirely on your machine. Your audio files never leave your computer — no cloud, no accounts, no data collection.
Queue up dozens of audio files and let Scribe Studio work through them automatically. Walk away and come back to finished transcripts.
Accepts MP3, M4A, WAV, and FLAC files. No need to convert your audio first — just drag it in.
Outputs subtitle files with accurate word-level timestamps — ready for video editors, publishers, and accessibility workflows.
Choose from tiny to large-v3 depending on your hardware. More VRAM = faster. CPU fallback always available.
Automatically uses your GPU if available. Falls back to CPU seamlessly. No configuration needed.
Download the installer from GitHub Releases. No Python, no command line — it just works on Windows.
Drag in your MP3, M4A, WAV, or FLAC files. Add as many as you need — Scribe Studio will queue them up.
Pick a Whisper model size. large-v3 gives the best accuracy. Smaller models are faster on older hardware.
Get SRT, VTT, or plain text output. Files go straight to your chosen output folder — no extra steps.
Free, open source, and always will be. Download for Windows now.
