Terret and TwinMind 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. TwinMind: Browser-extension and mobile AI meeting assistant that transcribes calls in real time on-device and turns them into searchable notes. 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 TwinMind when professionals who want hands-free notes during back-to-back video 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
Browser-extension and mobile AI meeting assistant that transcribes calls in real time on-device and turns them into searchable notes.
AI chat to query and search past conversationsAutomatic AI summaries and action items after each meetingChrome browser extension for Google Meet, Zoom, and Microsoft Teams
Terret is a free tier with paid upgrades (freemium); TwinMind 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
Chrome browser extension for Google Meet, Zoom, and Microsoft Teams
Standout feature
Native integration of call insights with AI forecasting and deal scoring
Real-time transcription with on-device audio capture (no separate meeting bot)
Team usage
Automatic CRM field population and follow-up action generation
Automatic AI summaries and action items after each meeting
Integrations
AI-generated sales playbooks based on top-performer behavior
AI chat to query and search past conversations
Languages & capture
Real-time pre-call briefs delivered via Slack
Companion mobile app for in-person and on-the-go capture
Best-fit workflow
Deal-risk detection, product-gap analysis, and expansion-signal surfacing
Multilingual transcription across many languages
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.
TwinMind
Choose TwinMind if you need professionals who want hands-free notes during back-to-back video calls — strengths include bot-free capture avoids a visible recorder joining the call.
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
TwinMind
+ Bot-free capture avoids a visible recorder joining the call
+ Works across desktop browser and mobile in one product
- Browser-extension capture depends on running meetings in a supported browser
FAQ
Is Terret or TwinMind 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 TwinMind is strong for professionals who want hands-free notes during back-to-back video calls. Both transcribe and summarize meetings.
How do Terret and TwinMind compare on price?
Terret is a free tier with paid upgrades and TwinMind 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 TwinMind?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.