Autorec v1.0 is shipping today
Autorec's first public release for Linux and Windows. It auto-detects your meetings, records them, transcribes them, and (if you want) summarises them. macOS has followed since.

After a long beta, autorec v1.0 is out for Linux and Windows.
If you’ve never seen it: autorec sits in your system tray and notices when you join a Zoom, Teams, or Google Meet call. It records the meeting window, transcribes it locally, and optionally writes a summary using whatever AI provider you point it at. You don’t have to start, stop, or rename anything.
What’s in v1.0
- Auto-detection for Zoom, Teams, and Google Meet.
- Hands-off recording, with hardware acceleration when your machine has it.
- Local transcription via Whisper. Audio never leaves your computer.
- Optional AI summaries against any OpenAI-compatible endpoint, including a local llama.cpp server.
- A built-in library to browse, search, and replay your recordings.
- Trim and compress tools so the disk usage doesn’t get away from you.
- A tray icon that stays out of your way until you need it.
The privacy bit
Autorec records the meeting window, not your whole screen. Transcription runs locally. The only thing that ever leaves your machine is transcript text, and only if you turn on AI summaries and pick a provider yourself.
Pricing and downloads
It’s a one-time purchase, per major version. All v1.x updates are included.
Downloads are on the downloads page: .AppImage, .deb and .rpm for Linux, an installer for Windows. It runs free with a limit of 3 recordings per 24 hours, 40 minutes each, and a license removes the limits.
What’s next
macOS was still in development when this was written. It has shipped since: there is an Apple Silicon build on the downloads page. Beyond that I’ll keep tightening transcription accuracy and the small annoyances that make a tool feel either “good” or “yeah, fine”.
Own your meeting recorder once
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Autorec 0.12: record calls in any app
Proton Meet, Jitsi, Signal and Element are detected out of the box. For everything else, a new Add-an-app picker lets you point Autorec at Telegram, Discord or whatever you take calls in.
GDPR and AI meeting summaries: which endpoint to use
Autorec sends a transcript to the AI provider you choose, and nothing else. Here is what that means under GDPR, how Mistral, Scaleway, IONOS, OpenAI and Anthropic compare, and when a local model is the better answer.
Meeting summaries with a local LLM: Ollama and LM Studio
Run the summary model on your own machine too. Set up Ollama or LM Studio, point Autorec at it, and the recording, the transcript and the summary never leave your computer.