Rafiki and Scriberr 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. Scriberr: Open-source, self-hosted AI audio transcription app that runs Whisper models locally with speaker diarization, summaries, and chat-with-transcript. 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 Scriberr when privacy-conscious teams transcribing meeting and interview recordings on their own infrastructure 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
Open-source, self-hosted AI audio transcription app that runs Whisper models locally with speaker diarization, summaries, and chat-with-transcript.
Rafiki vs Scriberr: Pricing, Features & Recommendation | Hosiqo
AI summaries with custom prompts via Ollama or OpenAI-compatible providersAutomatic speaker diarization (who said what)Built-in audio recorder and note-taking on transcripts
Rafiki is a free tier with paid upgrades (freemium); Scriberr 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
Local, offline transcription using Whisper models via the WhisperX engine
Standout feature
AI-generated meeting summaries and follow-up email drafts
Automatic speaker diarization (who said what)
Team usage
Call scoring against MEDDIC and BANT frameworks
AI summaries with custom prompts via Ollama or OpenAI-compatible providers
Integrations
Deal and pipeline-level conversation analysis
Chat with your transcripts to ask questions and pull insights
Languages & capture
CRM integrations with Salesforce, HubSpot, Zoho, and Pipedrive
Built-in audio recorder and note-taking on transcripts
Best-fit workflow
AI role play for rep training and a natural-language 'Ask Rafiki' query tool
Folder watcher and API endpoints for automation workflows
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.
Scriberr
Choose Scriberr if you need privacy-conscious teams transcribing meeting and interview recordings on their own infrastructure — strengths include fully self-hosted and offline, keeping audio and transcripts on your own hardware.
Pros & cons
Rafiki
+ Combines note-taking, coaching, and revenue intelligence in one platform
- Some advertised capabilities are listed as upcoming rather than fully shipped
Scriberr
+ Fully self-hosted and offline, keeping audio and transcripts on your own hardware
+ MIT-licensed and free to run with no per-minute charges
- Active development was publicly paused by the maintainer, relying on community contributions
FAQ
Is Rafiki or Scriberr better for AI meeting notes?
It depends on your workflow. Rafiki is strong for automatically capturing notes and action items from sales calls, while Scriberr is strong for privacy-conscious teams transcribing meeting and interview recordings on their own infrastructure. Both transcribe and summarize meetings.
How do Rafiki and Scriberr compare on price?
Rafiki is a free tier with paid upgrades and Scriberr 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 Scriberr?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.