Open-source meeting recorder for Windows and macOS
Hark notices when you're on a call and offers to record just that app. You see captions and running notes while it's on; afterwards you get the transcript with speaker names, the summary, a follow-up email, and answers to any question about any meeting, all from an AI that runs on your machine. No bot. No cloud. No account. Free, forever.
Windows (CPU or NVIDIA CUDA) · macOS (Apple Silicon or Intel) · MIT license
Why people switch from Fathom, Otter and Fireflies
Detection only shows a popup. You pick the window - and on Windows, only that app's audio - before anything records. No speaker gets named, nothing gets shared without your click.
Open the recording during the call: captions land as people talk and running notes keep up with what's being decided.
Hark tells voices apart, spots which one is you, and after you name someone once it recognises them next time and asks you to confirm.
A local language model repairs garbled words, broken English and filler from bad mics and worse Wi-Fi. The raw transcript is always one click away.
Sales call, discovery, 1:1, standup, interview, or write your own. Regenerate any meeting with any template.
"What did we decide about pricing?" across one meeting or your whole library, answered with timestamps you can click to hear the moment.
Folders, tags, search, clips, .txt/.srt/.md export, a drafted follow-up email, share links on your network, and .hark bundles you can import on another computer. Import old recordings too.
How it works
Your microphone and the meeting app's audio are captured as separate tracks, plus optional screen video, written to disk continuously and finished automatically if anything crashes.
whisper.cpp turns speech into text with live captions during the call and a high-quality pass after. pyannote and TitaNet identify who spoke, across all your cores, in parallel with the transcript.
llama.cpp runs Qwen3 (1.7B to 8B depending on your hardware) for cleanup, summaries and chat. Or point Hark at Ollama or LM Studio.
Compare
| Hark | Fathom | Otter | Fireflies | |
|---|---|---|---|---|
| Price | Free, open source | Free tier + paid | Free tier + paid | Free tier + paid |
| Recordings stay on your device | Yes | Cloud | Cloud | Cloud |
| Bot joins the meeting | Never | Yes | Yes | Yes |
| Works offline | Yes | No | No | No |
| Speaker identification and memory | Yes, on-device | Yes | Yes | Yes |
| AI summaries and chat | Yes, on-device | Yes | Yes | Yes |
| Screen recording | Optional | Yes | No | No |
| Account required | No | Yes | Yes | Yes |
Competitor details as of September 2026; see their sites for current plans. Full comparison.
Questions
Yes. Hark is open source under the MIT license. There are no plans, seats, or limits.
No. Recording, transcription, speaker identification, summaries and chat all run on your computer. The only downloads are the AI models themselves.
No. Hark records what your computer already hears and shows, so there is nothing for other participants to see in the meeting.
Zoom, Microsoft Teams, Google Meet, Webex, Discord, Slack huddles, FaceTime and GoToMeeting are detected by name. Anything else is caught by audio activity, and you can always start recording manually.
Any 64-bit Windows 10/11 or macOS 13+ machine with 8 GB of RAM. A GPU (NVIDIA, or Apple Silicon) makes transcription and summaries much faster.
Install in a minute. Delete in a second. Nothing left behind anywhere else.
Download Hark 0.4.0