Otter.ai and Fireflies.ai both promise to end the era of manual meeting notes — and for most meetings, they mostly deliver on that promise. Where they differ is in the depth of their meeting intelligence features, the accuracy of their transcription, and how well they integrate into the specific tools your team already uses. Otter is older and has more brand recognition; Fireflies has arguably iterated faster on the post-transcription AI features that make meeting notes actually useful rather than just archived.
Fireflies.ai
Otter.ai wins on transcription accuracy and live meeting features; Fireflies.ai wins on post-meeting AI analysis, CRM integrations, and team workflow features.
Specs Comparison
| Spec | Otter.ai | Fireflies.ai |
|---|---|---|
| Pro Price | $16.99/mo per user | $18/mo per user |
| Free Tier | 300 min/month | Limited transcription |
| Transcription Accuracy | Excellent | Good |
| AI Summaries | Good | Better — structured outputs |
| CRM Integration | Salesforce (Business plan) | Salesforce, HubSpot, Pipedrive |
| App Integrations | Zoom, Meet, Teams + limited | Broader ecosystem |
Transcription Accuracy
Otter.ai's transcription is stronger — particularly on accented English, overlapping speakers, and audio from lower-quality microphones. The speaker diarization (identifying who said what) is more reliable in multi-speaker settings, which is the hardest part of meeting transcription. Technical vocabulary and industry-specific jargon are handled more gracefully in Otter's current model.
Fireflies.ai's transcription quality has improved significantly but still trails Otter in controlled comparisons, particularly when audio quality is suboptimal. In a well-recorded Zoom call with participants using good microphones, the gap narrows substantially. In a conference room with multiple people, some far from the microphone, the gap is more noticeable.
For legal, medical, or compliance contexts where transcription accuracy is a requirement rather than a convenience, Otter's accuracy advantage is significant. For standard business meetings where the transcript is primarily searched rather than read in full, Fireflies' quality is adequate for the use case.
Post-Meeting AI Features
Fireflies has invested heavily in the meeting intelligence layer above transcription. Its AI summaries are structured and actionable — it identifies decisions made, action items assigned, and key discussion points without requiring you to read the full transcript. The summaries are organized in a way that lets you catch up on a meeting you missed in 90 seconds.
Otter's summaries are solid but less structured. The automated action item extraction is present but requires more manual review to catch everything. The AI Q&A feature, which lets you ask questions about the content of a specific meeting, is available on both platforms but Fireflies' implementation handles multi-meeting queries better — 'what did we decide about vendor selection across the Q1 planning sessions?'
For teams where meeting intelligence — not just transcription — is the primary product, Fireflies' more developed feature set produces more useful outputs per meeting.
CRM and Workflow Integrations
Fireflies' integration ecosystem is its clearest advantage for sales and customer-facing teams. Native integrations with Salesforce, HubSpot, and Pipedrive allow meeting transcripts and summaries to be logged automatically to the relevant contact or deal record. Sales teams who previously spent 15 minutes after every call updating CRM now have it done automatically — the productivity gain is compounding.
Otter integrates with Zoom, Google Meet, and Microsoft Teams for live transcription, and has Salesforce integration, but the CRM integration depth is less mature than Fireflies'. The breadth of native app integrations in Fireflies — it connects with Slack, Notion, Asana, Trello, and others in addition to CRM — creates more automatic workflow propagation from meeting content.
For a sales organization where meeting notes need to live in the CRM and tasks need to propagate to project management tools, Fireflies' integration breadth is a practical advantage that affects real daily behavior rather than just representing a feature checkbox.
Pricing and Usage Models
Otter.ai's free tier provides 300 minutes of transcription per month, which is enough to evaluate seriously. The Pro plan at $16.99/month per user provides 1,200 minutes of transcription plus AI summaries. The Business plan at $30/month per user adds team features, priority support, and Salesforce integration.
Fireflies.ai's free tier provides limited transcription with basic summaries. The Pro plan at $18/month per user provides unlimited audio storage and transcription, AI summaries, and the full integration suite. This is the plan most active users need and the pricing is competitive with Otter's Pro tier.
For individual knowledge workers who primarily need transcription and basic summaries, Otter's lower price at the Pro tier is slightly more economical. For teams where integrations and meeting intelligence matter, Fireflies Pro at $18/month provides more value per dollar when the integrations save real manual work.
Otter.ai Strengths
- Better transcription accuracy on accented speech and lower-quality audio
- More reliable speaker diarization in multi-speaker meetings
- Live meeting transcription with real-time display is more mature
- Lower Pro pricing — $16.99/mo vs Fireflies' $18/mo
- Longer-established product with larger community knowledge base
Fireflies.ai Strengths
- More structured and actionable AI summaries — decisions, action items, topics
- Deeper CRM integrations — Salesforce, HubSpot, Pipedrive
- Broader app integration ecosystem — Slack, Notion, Asana, Trello
- Better multi-meeting AI queries — search across meeting history
- Stronger for sales teams who need meeting notes in CRM automatically
Otter.ai Weaknesses
- Post-meeting AI feature set is less developed than Fireflies
- CRM integration depth is shallower
- Broader integration ecosystem smaller — fewer downstream automations
Fireflies.ai Weaknesses
- Transcription accuracy trails Otter, especially on difficult audio
- Speaker diarization less reliable in complex multi-speaker scenarios
- Live meeting experience less polished than Otter's
Best For
- Otter.ai Individuals and teams who prioritize transcription accuracy and live meeting experience, especially with varied audio quality or accented speakers
- Fireflies.ai Sales teams, customer success, and organizations that want meeting intelligence automatically logged to CRM and project management tools
FAQ
Do these tools work for in-person meetings, not just video calls?
Both work for in-person meetings using your phone's microphone. Otter has a mobile app that handles room audio reasonably well; Fireflies can process uploaded audio files from any source. Quality degrades with distance from the microphone and room noise, and speaker diarization becomes less reliable without the participant separation that video call platforms provide.
How do these tools handle meeting privacy and data retention?
Both process and store meeting transcripts on their servers. Enterprise plans on both platforms offer custom data retention policies and regional data storage. For meetings involving legal, medical, or financial information, review the data handling policies carefully — the default on both platforms is that transcripts are stored and used for model improvement unless you opt out in enterprise settings.