Listen Labs and OpenWhispr are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Listen Labs: Enterprise AI customer research platform that recruits participants, runs AI-moderated interviews, and delivers executive-ready insight reports. 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 Listen Labs when replacing or supplementing surveys with scalable ai-led customer interviews 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.
Enterprise AI customer research platform that recruits participants, runs AI-moderated interviews, and delivers executive-ready insight reports.
AI interviewer running personalized video, audio, and text interviewsAutomated key themes, takeaways, and persona generationExecutive-ready reports with highlight reels and slide decks
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
Listen Labs 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.
AI interviewer running personalized video, audio, and text interviews
Open-source and auditable, with code published on GitHub
Standout feature
Global participant recruitment with bring-your-own-audience option
Cross-platform desktop app for macOS, Windows, and Linux
Team usage
Stimulus testing with videos, images, and Figma prototypes
Local transcription via bundled Whisper and NVIDIA Parakeet models
Integrations
Automated key themes, takeaways, and persona generation
Bring-your-own-key cloud model option for flexibility
Languages & capture
Executive-ready reports with highlight reels and slide decks
AI Notepad that turns rough meeting notes plus transcript into structured minutes
Best-fit workflow
Support for 100+ languages with translation and transcription
Full-text search and AI Chat across captured meetings
Best for
Listen Labs
Choose Listen Labs if you need replacing or supplementing surveys with scalable ai-led customer interviews — strengths include end-to-end automation from recruitment to executive-ready deliverables.
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
Listen Labs
+ End-to-end automation from recruitment to executive-ready deliverables
+ Large global participant network reduces sourcing effort
- Enterprise positioning may exceed the needs and budgets of small teams
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 Listen Labs or OpenWhispr better for AI meeting notes?
It depends on your workflow. Listen Labs is strong for replacing or supplementing surveys with scalable ai-led customer interviews, while OpenWhispr is strong for privately transcribing computer-audio meetings without a bot joining the call. Both transcribe and summarize meetings.
How do Listen Labs and OpenWhispr compare on price?
Listen Labs 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 Listen Labs and OpenWhispr?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.