OpenWhispr and Speakr 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. Speakr: Self-hosted web app for transcribing meeting recordings with diarization, summaries, action items, per-recording chat, and library-wide semantic search. They overlap on ai-meeting-assistants, 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 workflows, shortlist OpenWhispr when privately transcribing computer-audio meetings without a bot joining the call matters most, and Speakr when privacy-conscious teams self-hosting transcription and summaries for internal meetings 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.
Self-hosted web app for transcribing meeting recordings with diarization, summaries, action items, per-recording chat, and library-wide semantic search.
OpenWhispr is a free tier with paid upgrades (freemium); Speakr is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | OpenWhispr | Speakr |
|---|---|---|
| Core capability | Open-source and auditable, with code published on GitHub | Self-hosted transcription with automatic language detection |
| Standout feature | Cross-platform desktop app for macOS, Windows, and Linux | Optional AI-powered speaker diarization |
| Team usage | Local transcription via bundled Whisper and NVIDIA Parakeet models | Customizable summaries plus an action-items view for decisions and tasks |
| Integrations | Bring-your-own-key cloud model option for flexibility | Per-recording chat and an Inquire Mode for semantic search across the whole library |
| Languages & capture | AI Notepad that turns rough meeting notes plus transcript into structured minutes | System and browser-tab audio capture |
| Best-fit workflow | Full-text search and AI Chat across captured meetings | Multi-user support with SSO, group workspaces, and admin dashboard |
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.
Speakr
Choose Speakr if you need privacy-conscious teams self-hosting transcription and summaries for internal meetings — strengths include runs entirely on the user's own infrastructure for full data control.
OpenWhispr
Speakr
It depends on your workflow. OpenWhispr is strong for privately transcribing computer-audio meetings without a bot joining the call, while Speakr is strong for privacy-conscious teams self-hosting transcription and summaries for internal meetings. Both transcribe and summarize meetings.
OpenWhispr is a free tier with paid upgrades and Speakr 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.