TeamRetro and Typist are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. TeamRetro: Purpose-built online tool for running agile retrospectives, team health checks, and planning poker with AI-assisted idea grouping and summaries. Typist: AI speech-to-text service that converts audio and video into text and exports captions, with tiered models for speed or accuracy. 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 TeamRetro when running sprint or project retrospectives for distributed agile teams matters most, and Typist when transcribing recorded interviews and research or client calls matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
Purpose-built online tool for running agile retrospectives, team health checks, and planning poker with AI-assisted idea grouping and summaries.
Action-item tracking carried across sessionsAI-assisted automatic grouping of similar ideas into themesAI-generated retrospective summaries (when enabled by the organization)
AI speech-to-text service that converts audio and video into text and exports captions, with tiered models for speed or accuracy.
Audio and video to text transcription across many file formatsExport to SRT subtitles, WebVTT captions, DOCX, PDF, and TXTMultiple transcription models trading off speed and accuracy
TeamRetro is a free tier with paid upgrades (freemium); Typist is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
Guided retrospective workflow with anonymous input, grouping, and dot voting
Audio and video to text transcription across many file formats
Standout feature
AI-assisted automatic grouping of similar ideas into themes
Export to SRT subtitles, WebVTT captions, DOCX, PDF, and TXT
Team usage
AI-generated retrospective summaries (when enabled by the organization)
Multiple transcription models trading off speed and accuracy
Integrations
Recurring team health checks with trend and sentiment tracking over time
Speaker identification on the highest-accuracy tier
Languages & capture
Large library of retrospective templates and icebreaker activities
Word-level and segment-level timestamps for clean subtitle timing
Best-fit workflow
Action-item tracking carried across sessions
Support for a wide range of languages and accents
Best for
TeamRetro
Choose TeamRetro if you need running sprint or project retrospectives for distributed agile teams — strengths include purpose-built for retrospectives rather than a repurposed generic whiteboard.
Typist
Choose Typist if you need transcribing recorded interviews and research or client calls — strengths include clean subtitle exports (srt and webvtt) that import into video editors.
Pros & cons
TeamRetro
+ Purpose-built for retrospectives rather than a repurposed generic whiteboard
+ AI grouping and summaries reduce facilitation overhead during retros
- Focused on agile retrospectives and team health, so it is narrower than a general meeting assistant
Typist
+ Clean subtitle exports (SRT and WebVTT) that import into video editors
+ Choice of models lets users prioritize speed or accuracy per job
- Speaker identification is limited to the top tier
FAQ
Is TeamRetro or Typist better for AI meeting notes?
It depends on your workflow. TeamRetro is strong for running sprint or project retrospectives for distributed agile teams, while Typist is strong for transcribing recorded interviews and research or client calls. Both transcribe and summarize meetings.
How do TeamRetro and Typist compare on price?
TeamRetro is a free tier with paid upgrades and Typist 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 TeamRetro and Typist?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.