whisper.cppTranscribe recorded audio into text on your own computer.
Free software. Your hardware + a downloaded model.
Voice & transcription
aTrain
Free optionOpen sourceLocal
Transcribe recordings offline with speaker labels and research-friendly exports.
What you can use it for
Transcribe recordings offline with speaker labels and research-friendly exports.
- Windows and Linux installers; local processing without per-minute API charges.
- Speaker-labelled output integrates with qualitative research tools.
Workflow coverage and comparison notes
Transcribe already-recorded audio locally and review speaker-labelled text. Replaces file-transcription hours only: no automatic meeting joining, shared meeting workspace, AI meeting summaries, certified human transcription or Descript transcript-driven video editing. Supply your own computer and downloaded speech models; accuracy and processing time vary.
Before you switch
Models need downloading first. Speed, memory use and transcript quality depend on hardware and audio; review the output. NVIDIA GPU acceleration is optional and platform-dependent. No ready-made macOS installer is promised: source installation is technical. No automatic meeting bot, shared cloud workspace, human transcription guarantee or Descript video editor.
Alternatives to these paid apps
Each comparison covers the workflow described above, rather than every paid feature.
More for the same workflow
See alternatives →whisper.cpp
auto-editorRemove silent sections from recordings with a command-line tool.
Everything (Unlicense).
VibeTranscribe recordings locally and export text or subtitle files.
Free local transcription · downloaded models · own hardware