OpenWhispr and Thoth 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. Thoth: Privacy-first macOS app that records, transcribes, and summarizes meetings entirely on-device with no cloud or data leaving the Mac. They overlap on ai-meeting-assistants, ai-transcription, so the right pick depends on team size, budget, and which meeting workflows you automate.
For ai-meeting-assistants, ai-transcription workflows, shortlist OpenWhispr when privately transcribing computer-audio meetings without a bot joining the call matters most, and Thoth when professionals handling confidential or regulated information 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.
AI Notepad that turns rough meeting notes plus transcript into structured minutesBring-your-own-key cloud model option for flexibilityCross-platform desktop app for macOS, Windows, and Linux
Privacy-first macOS app that records, transcribes, and summarizes meetings entirely on-device with no cloud or data leaving the Mac.
100% local, on-device recording, transcription, and summarizationDual-channel capture of microphone and system audioExport to PDF, Word, Markdown, and timestamped JSON
OpenWhispr is a free tier with paid upgrades (freemium); Thoth is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
Open-source and auditable, with code published on GitHub
100% local, on-device recording, transcription, and summarization
Standout feature
Cross-platform desktop app for macOS, Windows, and Linux
Dual-channel capture of microphone and system audio
Team usage
Local transcription via bundled Whisper and NVIDIA Parakeet models
On-device speaker detection with color-coded transcripts
Integrations
Bring-your-own-key cloud model option for flexibility
Whisper-based transcription supporting many languages
Languages & capture
AI Notepad that turns rough meeting notes plus transcript into structured minutes
On-device anonymization to redact sensitive content
Best-fit workflow
Full-text search and AI Chat across captured meetings
Export to PDF, Word, Markdown, and timestamped JSON
Best for
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.
Thoth
Choose Thoth if you need professionals handling confidential or regulated information — strengths include fully local processing with no cloud requirement and no user database.
Pros & cons
OpenWhispr
+ Fully open source, so users can inspect and self-host the code
+ Local model support enables private, offline transcription
- Primarily a dictation tool, so meeting features are secondary rather than the main focus
Thoth
+ Fully local processing with no cloud requirement and no user database
+ Captures both sides of online meetings and works offline
- Requires a Mac with Apple Silicon and sufficient unified memory
FAQ
Is OpenWhispr or Thoth better for AI meeting notes?
It depends on your workflow. OpenWhispr is strong for privately transcribing computer-audio meetings without a bot joining the call, while Thoth is strong for professionals handling confidential or regulated information. Both transcribe and summarize meetings.
How do OpenWhispr and Thoth compare on price?
OpenWhispr is a free tier with paid upgrades and Thoth is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Can I use both OpenWhispr and Thoth?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.