Listen Labs and SpeechText.AI 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. SpeechText.AI: AI speech-to-text service that transcribes interviews, meetings and podcasts with speaker ID, domain models and searchable audio. 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 SpeechText.AI when transcribing research and journalistic interviews with privacy requirements 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 service that transcribes interviews, meetings and podcasts with speaker ID, domain models and searchable audio.
Automatic transcription of uploaded audio and video filesDomain-optimized models for fields like healthcare, finance and legalExport to TXT, PDF and DOCX with EU-based data hosting
Listen Labs is a free tier with paid upgrades (freemium); SpeechText.AI 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 and video files
Standout feature
Global participant recruitment with bring-your-own-audience option
Speaker identification across multi-participant recordings
Team usage
Stimulus testing with videos, images, and Figma prototypes
Support for 30+ languages with regional accents
Integrations
Automated key themes, takeaways, and persona generation
Domain-optimized models for fields like healthcare, finance and legal
Languages & capture
Executive-ready reports with highlight reels and slide decks
Interactive transcript editing and verification tools
Best-fit workflow
Support for 100+ languages with translation and transcription
Natural-language search inside audio recordings
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.
SpeechText.AI
Choose SpeechText.AI if you need transcribing research and journalistic interviews with privacy requirements — strengths include domain-specific models can improve accuracy on specialized terminology.
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
SpeechText.AI
+ Domain-specific models can improve accuracy on specialized terminology
+ EU hosting and GDPR-aligned data residency for privacy-sensitive work
- Works from uploaded recordings rather than joining live meetings
FAQ
Is Listen Labs or SpeechText.AI 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 SpeechText.AI is strong for transcribing research and journalistic interviews with privacy requirements. Both transcribe and summarize meetings.
How do Listen Labs and SpeechText.AI compare on price?
Listen Labs is a free tier with paid upgrades and SpeechText.AI 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 SpeechText.AI?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.