Listen Labs and Superwhisper 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. Superwhisper: Voice-to-text app for Mac, Windows, and iOS that records and transcribes meetings on-device without a bot, with speaker labels and offline processing. 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 Superwhisper when transcribing confidential zoom, teams, or meet calls without a bot 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
Voice-to-text app for Mac, Windows, and iOS that records and transcribes meetings on-device without a bot, with speaker labels and offline processing.
Automatic speaker labels across longer recordingsAvailable on macOS, Windows, and iOSBot-free meeting recording and transcription captured from the device
Listen Labs is a free tier with paid upgrades (freemium); Superwhisper 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
Bot-free meeting recording and transcription captured from the device
Standout feature
Global participant recruitment with bring-your-own-audience option
On-device, offline speech recognition that keeps audio local
Team usage
Stimulus testing with videos, images, and Figma prototypes
Automatic speaker labels across longer recordings
Integrations
Automated key themes, takeaways, and persona generation
File transcription for MP3, MP4, M4A, WAV, and WEBM formats
Languages & capture
Executive-ready reports with highlight reels and slide decks
Super Mode for dictating recaps and summaries
Best-fit workflow
Support for 100+ languages with translation and transcription
System-wide voice typing across applications
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.
Superwhisper
Choose Superwhisper if you need transcribing confidential zoom, teams, or meet calls without a bot — strengths include records meetings without adding a visible bot to the call.
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
Superwhisper
+ Records meetings without adding a visible bot to the call
+ Offline processing keeps meeting audio off vendor servers
- Primarily a dictation tool, so meeting features are one part of a broader app
FAQ
Is Listen Labs or Superwhisper 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 Superwhisper is strong for transcribing confidential zoom, teams, or meet calls without a bot. Both transcribe and summarize meetings.
How do Listen Labs and Superwhisper compare on price?
Listen Labs is a free tier with paid upgrades and Superwhisper 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 Superwhisper?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.