Rafiki and Speakr are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Rafiki: AI sales intelligence platform that records, transcribes, and analyzes sales conversations to surface deal and coaching insights. Speakr: Self-hosted web app for transcribing meeting recordings with diarization, summaries, action items, per-recording chat, and library-wide semantic search. 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 Rafiki when automatically capturing notes and action items from sales calls matters most, and Speakr when privacy-conscious teams self-hosting transcription and summaries for internal meetings matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
AI sales intelligence platform that records, transcribes, and analyzes sales conversations to surface deal and coaching insights.
AI-generated meeting summaries and follow-up email draftsAI role play for rep training and a natural-language 'Ask Rafiki' query toolCall scoring against MEDDIC and BANT frameworks
Self-hosted web app for transcribing meeting recordings with diarization, summaries, action items, per-recording chat, and library-wide semantic search.
Configurable AI models compatible with OpenAI, OpenRouter, and local modelsCustomizable summaries plus an action-items view for decisions and tasksMulti-user support with SSO, group workspaces, and admin dashboard
Rafiki is a free tier with paid upgrades (freemium); Speakr is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
Records and transcribes calls across Zoom, Google Meet, Teams, and phone
Self-hosted transcription with automatic language detection
Standout feature
AI-generated meeting summaries and follow-up email drafts
Optional AI-powered speaker diarization
Team usage
Call scoring against MEDDIC and BANT frameworks
Customizable summaries plus an action-items view for decisions and tasks
Integrations
Deal and pipeline-level conversation analysis
Per-recording chat and an Inquire Mode for semantic search across the whole library
Languages & capture
CRM integrations with Salesforce, HubSpot, Zoho, and Pipedrive
System and browser-tab audio capture
Best-fit workflow
AI role play for rep training and a natural-language 'Ask Rafiki' query tool
Multi-user support with SSO, group workspaces, and admin dashboard
Best for
Rafiki
Choose Rafiki if you need automatically capturing notes and action items from sales calls — strengths include combines note-taking, coaching, and revenue intelligence in one platform.
Speakr
Choose Speakr if you need privacy-conscious teams self-hosting transcription and summaries for internal meetings — strengths include runs entirely on the user's own infrastructure for full data control.
Pros & cons
Rafiki
+ Combines note-taking, coaching, and revenue intelligence in one platform
- Some advertised capabilities are listed as upcoming rather than fully shipped
Speakr
+ Runs entirely on the user's own infrastructure for full data control
+ Action-item extraction and per-recording chat go beyond plain transcripts
- Current releases are alpha-stage and may not be production-stable
FAQ
Is Rafiki or Speakr better for AI meeting notes?
It depends on your workflow. Rafiki is strong for automatically capturing notes and action items from sales calls, while Speakr is strong for privacy-conscious teams self-hosting transcription and summaries for internal meetings. Both transcribe and summarize meetings.
How do Rafiki and Speakr compare on price?
Rafiki is a free tier with paid upgrades and Speakr 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 Rafiki and Speakr?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.