Listen Labs and aTrain 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. aTrain: Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection. 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 aTrain when researchers transcribing recorded interviews for qualitative analysis 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 offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection.
Built on OpenAI Whisper via the faster-whisper engineExports compatible with MAXQDA, ATLAS.ti, and NVivoGraphical interface requiring no programming skills
Listen Labs is a free tier with paid upgrades (freemium); aTrain 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
Offline, fully local transcription with no data leaving the device
Standout feature
Global participant recruitment with bring-your-own-audience option
Built on OpenAI Whisper via the faster-whisper engine
Team usage
Stimulus testing with videos, images, and Figma prototypes
Speaker detection/diarization using pyannote.audio
Integrations
Automated key themes, takeaways, and persona generation
Exports compatible with MAXQDA, ATLAS.ti, and NVivo
Languages & capture
Executive-ready reports with highlight reels and slide decks
Graphical interface requiring no programming skills
Best-fit workflow
Support for 100+ languages with translation and transcription
NVIDIA GPU acceleration support
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.
aTrain
Choose aTrain if you need researchers transcribing recorded interviews for qualitative analysis — strengths include free and open source under agpl-3.0.
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
- Works on recorded files rather than live meeting capture
FAQ
Is Listen Labs or aTrain 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 aTrain is strong for researchers transcribing recorded interviews for qualitative analysis. Both transcribe and summarize meetings.
How do Listen Labs and aTrain compare on price?
Listen Labs is a free tier with paid upgrades and aTrain 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 aTrain?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.
Listen Labs vs aTrain: Pricing, Features & Recommendation | Hosiqo