Terret and Typist are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Terret: AI revenue intelligence platform (formerly BoostUp) with native conversation intelligence that records and analyzes sales calls to drive forecasting and coaching. 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 Terret when analyzing recorded sales calls to inform forecasting and deal-health scoring 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.
AI revenue intelligence platform (formerly BoostUp) with native conversation intelligence that records and analyzes sales calls to drive forecasting and coaching.
AI-generated sales playbooks based on top-performer behaviorAutomatic CRM field population and follow-up action generationConversation intelligence that records and analyzes sales calls at scale
AI speech-to-text service that converts audio and video into text and exports captions, with tiered models for speed or accuracy.
Terret vs Typist: Pricing, Features & Recommendation | Hosiqo
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
Terret 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.
Conversation intelligence that records and analyzes sales calls at scale
Audio and video to text transcription across many file formats
Standout feature
Native integration of call insights with AI forecasting and deal scoring
Export to SRT subtitles, WebVTT captions, DOCX, PDF, and TXT
Team usage
Automatic CRM field population and follow-up action generation
Multiple transcription models trading off speed and accuracy
Integrations
AI-generated sales playbooks based on top-performer behavior
Speaker identification on the highest-accuracy tier
Languages & capture
Real-time pre-call briefs delivered via Slack
Word-level and segment-level timestamps for clean subtitle timing
Best-fit workflow
Deal-risk detection, product-gap analysis, and expansion-signal surfacing
Support for a wide range of languages and accents
Best for
Terret
Choose Terret if you need analyzing recorded sales calls to inform forecasting and deal-health scoring — strengths include conversation intelligence is tightly coupled to forecasting and pipeline analytics.
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
Terret
+ Conversation intelligence is tightly coupled to forecasting and pipeline analytics
+ Automates CRM updates and methodology-field population to reduce admin work
- Oriented toward mid-market and enterprise revenue teams rather than small teams
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 Terret or Typist better for AI meeting notes?
It depends on your workflow. Terret is strong for analyzing recorded sales calls to inform forecasting and deal-health scoring, while Typist is strong for transcribing recorded interviews and research or client calls. Both transcribe and summarize meetings.
How do Terret and Typist compare on price?
Terret 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 Terret and Typist?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.