There is no single best AI meeting recorder — the right choice depends on your specific constraints. Here is a framework for making the decision.
Step 1: Assess your privacy requirements
Does your meeting content include PHI, legal privilege, financial data, or information about people who have not consented to cloud recording? If yes, you need either an on-device tool (Ledgeur) or a cloud vendor with a specific BAA or data processing agreement for your use case. If no, any cloud tool is a reasonable option.
Step 2: Identify your platform
Bot-based tools work best when you use a single video platform consistently. If your meetings span Zoom, Teams, Google Meet, phone calls and in-person — a local tool or a bot that supports calendar integration across platforms gives you the most coverage. Platform-native tools (Teams Copilot, Zoom AI Companion) are only useful in their own platform.
Step 3: Decide what you need beyond transcription
- Just transcription: Ledgeur or any basic Whisper-based tool.
- Transcription + AI summary: most cloud bots or Ledgeur with summarisation.
- CRM integration (auto-logging to Salesforce, HubSpot): Gong, Chorus, Fireflies.
- Speaker diarization (who said what): cloud services generally do this better than local tools.
- Searchable transcript library: cloud tools index and search; local tools save files to your machine.
Step 4: Consider cost
Free tiers: Otter.ai free (600 min/month), Fathom free (unlimited with some limits), Fireflies free (limited transcripts). Paid cloud tiers: $15–$40/user/month. Local tools: often free or one-time purchase. For a 5-person team that has 20 hours of meetings per month, the math usually favors cloud tools unless privacy requires local.