Listen Labs and Transkriptor 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. Transkriptor: AI speech-to-text platform that transcribes meetings, interviews, lectures and audio/video files into editable text in many languages. 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 Transkriptor when transcribing recorded interviews and research conversations 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
AI speech-to-text platform that transcribes meetings, interviews, lectures and audio/video files into editable text in many languages.
AI assistant and AI chat to summarize transcripts and answer questionsAutomatic transcription of uploaded audio/video files and linksDirect meeting capture and transcription for Zoom, Google Meet and Microsoft Teams
Listen Labs is a free tier with paid upgrades (freemium); Transkriptor 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
Automatic transcription of uploaded audio/video files and links
Standout feature
Global participant recruitment with bring-your-own-audience option
Direct meeting capture and transcription for Zoom, Google Meet and Microsoft Teams
Team usage
Stimulus testing with videos, images, and Figma prototypes
Speaker diarization that labels individual speakers
Integrations
Automated key themes, takeaways, and persona generation
Support for transcription in 100+ languages plus translation
Languages & capture
Executive-ready reports with highlight reels and slide decks
AI assistant and AI chat to summarize transcripts and answer questions
Best-fit workflow
Support for 100+ languages with translation and transcription
SRT subtitle export and in-browser transcript editing
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.
Transkriptor
Choose Transkriptor if you need transcribing recorded interviews and research conversations — strengths include handles many input methods (file upload, link, recording, and live meetings).
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
Transkriptor
+ Handles many input methods (file upload, link, recording, and live meetings)
+ Broad language coverage with translation support
- AI accuracy can vary with audio quality, accents and crosstalk
FAQ
Is Listen Labs or Transkriptor 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 Transkriptor is strong for transcribing recorded interviews and research conversations. Both transcribe and summarize meetings.
How do Listen Labs and Transkriptor compare on price?
Listen Labs is a free tier with paid upgrades and Transkriptor 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 Transkriptor?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.