OpenWhispr and WhisperLiveKit are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. OpenWhispr: Open-source, privacy-first voice-to-text desktop app for Mac, Windows, and Linux that also transcribes meetings into AI-organized notes. WhisperLiveKit: Open-source, self-hosted real-time speech-to-text and speaker diarization toolkit with a FastAPI server and web interface, suitable for meeting transcription. They overlap on ai-meeting-assistants, ai-transcription, so the right pick depends on team size, budget, and which meeting workflows you automate.
How Hosiqo compares and tests toolsFinal recommendation
For ai-meeting-assistants, ai-transcription workflows, shortlist OpenWhispr when privately transcribing computer-audio meetings without a bot joining the call matters most, and WhisperLiveKit when self-hosted real-time meeting transcription with speaker labels matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
Open-source, privacy-first voice-to-text desktop app for Mac, Windows, and Linux that also transcribes meetings into AI-organized notes.
Open-source, self-hosted real-time speech-to-text and speaker diarization toolkit with a FastAPI server and web interface, suitable for meeting transcription.
OpenWhispr is a free tier with paid upgrades (freemium); WhisperLiveKit is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | OpenWhispr | WhisperLiveKit |
|---|---|---|
| Core capability | Open-source and auditable, with code published on GitHub | Real-time streaming speech-to-text with low latency over WebSocket |
| Standout feature | Cross-platform desktop app for macOS, Windows, and Linux | Real-time speaker diarization to distinguish multiple speakers |
| Team usage | Local transcription via bundled Whisper and NVIDIA Parakeet models | FastAPI backend with OpenAI-compatible REST API and Deepgram-compatible WebSocket protocol |
| Integrations | Bring-your-own-key cloud model option for flexibility | Multiple ASR backends (Whisper variants, Voxtral, Qwen3-ASR) and 200+ language support with translation |
| Languages & capture | AI Notepad that turns rough meeting notes plus transcript into structured minutes | Included customizable HTML/JavaScript web interface and Docker images (GPU and CPU) |
| Best-fit workflow | Full-text search and AI Chat across captured meetings | Voice activity detection and multi-user support on a single backend |
OpenWhispr
Choose OpenWhispr if you need privately transcribing computer-audio meetings without a bot joining the call — strengths include fully open source, so users can inspect and self-host the code.
WhisperLiveKit
Choose WhisperLiveKit if you need self-hosted real-time meeting transcription with speaker labels — strengths include fully open source (apache 2.0) and self-hostable for private, on-premise transcription.
OpenWhispr
WhisperLiveKit
It depends on your workflow. OpenWhispr is strong for privately transcribing computer-audio meetings without a bot joining the call, while WhisperLiveKit is strong for self-hosted real-time meeting transcription with speaker labels. Both transcribe and summarize meetings.
OpenWhispr is a free tier with paid upgrades and WhisperLiveKit is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.