Meeting Metrics and Speakr are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Meeting Metrics: Swiss AI meeting intelligence platform with transcription, summaries and analytics, processed and stored on Swiss servers. 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 Meeting Metrics when transcribing and analyzing german and swiss german meetings 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.
Swiss AI meeting intelligence platform with transcription, summaries and analytics, processed and stored on Swiss servers.
Automatic transcription, summaries and meeting analyticsInteractive chat to search and query meeting contentProcessing and storage on Swiss servers, with local-AI enterprise options
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
Meeting Metrics 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.
Automatic transcription, summaries and meeting analytics
Self-hosted transcription with automatic language detection
Standout feature
Speaker recognition with customizable summary templates
Optional AI-powered speaker diarization
Team usage
Interactive chat to search and query meeting content
Customizable summaries plus an action-items view for decisions and tasks
Integrations
Strong German and Swiss German language support across many languages
Per-recording chat and an Inquire Mode for semantic search across the whole library
Languages & capture
Processing and storage on Swiss servers, with local-AI enterprise options
System and browser-tab audio capture
Best-fit workflow
Automatic transcription, summaries and meeting analytics
Multi-user support with SSO, group workspaces, and admin dashboard
Best for
Meeting Metrics
Choose Meeting Metrics if you need transcribing and analyzing german and swiss german meetings — strengths include swiss data sovereignty with processing and storage in switzerland.
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
Meeting Metrics
+ Swiss data sovereignty with processing and storage in Switzerland
+ Strong German and Swiss German dialect handling
- Some integrations and mobile apps are noted as still in development
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 Meeting Metrics or Speakr better for AI meeting notes?
It depends on your workflow. Meeting Metrics is strong for transcribing and analyzing german and swiss german meetings, while Speakr is strong for privacy-conscious teams self-hosting transcription and summaries for internal meetings. Both transcribe and summarize meetings.
How do Meeting Metrics and Speakr compare on price?
Meeting Metrics 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 Meeting Metrics and Speakr?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.