Hyperia and OpenWhispr are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Hyperia: A programmable AI notetaker that joins online meetings as a participant to record, transcribe, and build searchable knowledge from conversations. OpenWhispr: Open-source, privacy-first voice-to-text desktop app for Mac, Windows, and Linux that also transcribes meetings into AI-organized notes. They overlap on ai-meeting-assistants, so the right pick depends on team size, budget, and which meeting workflows you automate.
For ai-meeting-assistants workflows, shortlist Hyperia when automatically capturing and summarizing recurring team or client calls matters most, and OpenWhispr when privately transcribing computer-audio meetings without a bot joining the call matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
A programmable AI notetaker that joins online meetings as a participant to record, transcribe, and build searchable knowledge from conversations.
Automatic calendar detection and joining of scheduled meetingsCRM and SaaS integrations, including via ZapierNotetaker joins Zoom, Microsoft Teams, and Google Meet as a participant
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
Hyperia is a free tier with paid upgrades (freemium); OpenWhispr is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
Notetaker joins Zoom, Microsoft Teams, and Google Meet as a participant
Open-source and auditable, with code published on GitHub
Standout feature
Automatic calendar detection and joining of scheduled meetings
Cross-platform desktop app for macOS, Windows, and Linux
Team usage
Programmable API to direct the notetaker and stream audio for analysis
Local transcription via bundled Whisper and NVIDIA Parakeet models
Integrations
Transcription, summaries, action items, and highlights
Bring-your-own-key cloud model option for flexibility
Languages & capture
Searchable knowledge base built from calls and meetings
AI Notepad that turns rough meeting notes plus transcript into structured minutes
Best-fit workflow
CRM and SaaS integrations, including via Zapier
Full-text search and AI Chat across captured meetings
Best for
Hyperia
Choose Hyperia if you need automatically capturing and summarizing recurring team or client calls — strengths include programmable api offers flexibility for custom workflows and integrations.
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.
Pros & cons
Hyperia
+ Programmable API offers flexibility for custom workflows and integrations
+ Turns meetings into a searchable knowledge base across conversations
- Notetaker joins as a visible participant rather than operating bot-free
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
FAQ
Is Hyperia or OpenWhispr better for AI meeting notes?
It depends on your workflow. Hyperia is strong for automatically capturing and summarizing recurring team or client calls, while OpenWhispr is strong for privately transcribing computer-audio meetings without a bot joining the call. Both transcribe and summarize meetings.
How do Hyperia and OpenWhispr compare on price?
Hyperia is a free tier with paid upgrades and OpenWhispr 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 Hyperia and OpenWhispr?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.