Listen Labs and Maestra 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. Maestra: AI platform for transcription, subtitles, dubbing, and live captioning across 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 Maestra when generating multilingual subtitles for video content 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 platform for transcription, subtitles, dubbing, and live captioning across many languages.
AI transcription with speaker detection, punctuation, and timestampsAutomatic subtitle and caption generation with editing toolsIntegrations with live and meeting platforms such as Zoom and Microsoft Teams
Listen Labs is a free tier with paid upgrades (freemium); Maestra 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
AI transcription with speaker detection, punctuation, and timestamps
Standout feature
Global participant recruitment with bring-your-own-audience option
Automatic subtitle and caption generation with editing tools
Team usage
Stimulus testing with videos, images, and Figma prototypes
Translation of transcripts and subtitles across many languages
Integrations
Automated key themes, takeaways, and persona generation
Real-time live transcription for meetings, webinars, and streams
Languages & capture
Executive-ready reports with highlight reels and slide decks
Integrations with live and meeting platforms such as Zoom and Microsoft Teams
Best-fit workflow
Support for 100+ languages with translation and transcription
AI transcription with speaker detection, punctuation, and timestamps
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.
Maestra
Choose Maestra if you need generating multilingual subtitles for video content — strengths include covers both on-demand and real-time transcription needs.
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
Maestra
+ Covers both on-demand and real-time transcription needs
+ Strong multilingual subtitle and translation support
- Breadth of features (dubbing, translation, subtitles) may exceed simple note-taking needs
FAQ
Is Listen Labs or Maestra 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 Maestra is strong for generating multilingual subtitles for video content. Both transcribe and summarize meetings.
How do Listen Labs and Maestra compare on price?
Listen Labs is a free tier with paid upgrades and Maestra 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 Maestra?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.
Listen Labs vs Maestra: Pricing, Features & Recommendation | Hosiqo