Notewise and Terret are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Notewise: Handwriting and PDF note-taking app for Apple devices with AI audio transcription for lectures and meetings. Terret: AI revenue intelligence platform (formerly BoostUp) with native conversation intelligence that records and analyzes sales calls to drive forecasting and coaching. 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 Notewise when handwriting lecture notes on an ipad while recording and transcribing class audio matters most, and Terret when analyzing recorded sales calls to inform forecasting and deal-health scoring matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
Handwriting and PDF note-taking app for Apple devices with AI audio transcription for lectures and meetings.
AI audio transcription of lectures and meetings synced to handwritten notesAI chat to query notes and context-aware Q&A on highlighted contentAuto-generated audio summaries of notes
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
Notewise is a free tier with paid upgrades (freemium); Terret is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
AI audio transcription of lectures and meetings synced to handwritten notes
Conversation intelligence that records and analyzes sales calls at scale
Standout feature
Low-latency handwriting with palm rejection plus PDF annotation
Native integration of call insights with AI forecasting and deal scoring
Team usage
Handwriting OCR across more than 20 languages with unified search
Automatic CRM field population and follow-up action generation
Integrations
AI chat to query notes and context-aware Q&A on highlighted content
AI-generated sales playbooks based on top-performer behavior
Languages & capture
Auto-generated audio summaries of notes
Real-time pre-call briefs delivered via Slack
Best-fit workflow
Real-time collaboration in shared notebooks and cross-device cloud sync
Deal-risk detection, product-gap analysis, and expansion-signal surfacing
Best for
Notewise
Choose Notewise if you need handwriting lecture notes on an ipad while recording and transcribing class audio — strengths include ties lecture audio transcription directly to the moment in handwritten notes.
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.
Pros & cons
Notewise
+ Ties lecture audio transcription directly to the moment in handwritten notes
+ Strong handwriting, PDF, and OCR tooling for student workflows
- Limited to Apple devices
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
FAQ
Is Notewise or Terret better for AI meeting notes?
It depends on your workflow. Notewise is strong for handwriting lecture notes on an ipad while recording and transcribing class audio, while Terret is strong for analyzing recorded sales calls to inform forecasting and deal-health scoring. Both transcribe and summarize meetings.
How do Notewise and Terret compare on price?
Notewise is a free tier with paid upgrades and Terret 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 Notewise and Terret?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.