Record the detail, not just the decision.
Turn client calls, interviews and briefings into searchable notes without exporting the raw recording.
100% on-device. Zero cloud. Zero subscriptions. whisper.cpp transcription with speaker diarization and local AI summaries.
Free 7-day trial · No account required · macOS 14+ on Apple Silicon
LocalWhisper is for work where a transcript is useful, but sending the recording to another cloud is not an option.
Turn client calls, interviews and briefings into searchable notes without exporting the raw recording.
Search speakers, timestamps and action items instead of replaying long recordings.
Create a summary and action list locally, then decide exactly what leaves the machine.
LocalWhisper notices when a meeting starts in Zoom, Teams, or Meet — with real microphone activity, not just an open window — and offers to record and transcribe it. Locally.
Speaker attribution mapped with on-device diarization. Timestamped. Readable, high-contrast typography with names — never color alone.
Summaries and action items generated by the LLM you choose — Ollama, any OpenAI-compatible endpoint, or the built-in offline summarizer. The transcript never leaves the machine.
Team confirmed the staging environment mirrors production. Rollback strategy approved. Database migration scheduled with zero-downtime window.
Record a 30-second sample and generate speech in your own voice with Qwen3-TTS on Apple Silicon. The model, the sample, and every generated clip stay on disk — yours.
One global hotkey. Talk, release, and the transcribed text lands wherever your cursor is — editor, browser, terminal. Processed by the same local engine.
Open a recording and interrogate it — decisions, action items, who promised what. Attach several meetings to one conversation. Answers come from the LLM you choose; hour-long transcripts are condensed on-device before a single token leaves the app.
Turn any transcript into a 5–30 minute two-host discussion — a curious host and an expert, scripted by your LLM and voiced by local TTS, including your own cloned voice. Stitched into an episode you can play, read, and export.
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