Otter.ai vs Fireflies.ai 2026: Transcription Accuracy vs Meeting Intelligence

Short answer: Pick Otter.ai if transcription accuracy is paramount. Pick Fireflies.ai if you want meeting analytics and conversation intelligence beyond just the text. Both transcribe meetings well, but they serve different purposes once the transcript is generated.

Otter produces more accurate transcripts. Fireflies does more with the transcript once it exists. That’s the core distinction, and it determines which is right for your team.

We ran both tools simultaneously on 50 meetings over two months — sales calls, team standups, client presentations, and brainstorms. Otter won on accuracy. Fireflies won on insights. Here’s the full breakdown.

ELI5: AI Transcription — Software that listens to your meetings and types out everything people say, automatically. Like having a secretary who never misses a word, never gets tired, and works for $10-20/month instead of $4,000/month.

Feature Comparison

Feature	Otter.ai ($17/mo)	Fireflies.ai ($19/mo)
Transcription accuracy	96%	93%
Speaker identification	Excellent	Good
Real-time transcription	Yes	Yes
Meeting bot (auto-join)	Yes	Yes
AI summary	Yes	Yes (more detailed)
Action items extraction	Yes	Yes (better)
Sentiment analysis	No	Yes
Talk-time ratios	No	Yes
Topic tracking	Basic	Advanced
Conversation intelligence	No	Yes
CRM integration	No	Yes (Salesforce, HubSpot)
Search across meetings	Yes	Yes
Custom vocabulary	Yes	Yes
Zoom integration	Yes	Yes
Google Meet integration	Yes	Yes
Teams integration	Yes	Yes
Slack integration	Yes	Yes (richer)
Free plan	600 min/mo	800 min/mo
Export formats	TXT, PDF, SRT	TXT, PDF, SRT, JSON, CSV

Transcription Accuracy: Otter Wins

Accuracy is the foundation of any transcription tool. If the transcript is wrong, everything built on it — summaries, action items, analytics — is unreliable.

In our 50-meeting test, we manually verified transcripts against recordings:

• Otter.ai: 96.2% word-level accuracy (clear audio), 91.8% accuracy (noisy conditions)
• Fireflies.ai: 93.1% word-level accuracy (clear audio), 88.4% accuracy (noisy conditions)

A 3% gap sounds small, but in a 60-minute meeting with roughly 8,000 words, that’s the difference between 312 errors (Otter) and 552 errors (Fireflies). Over a week of daily meetings, those errors compound.

Where the gap matters most:

• Multiple speakers talking over each other: Otter handles crosstalk significantly better
• Technical jargon: Otter’s custom vocabulary feature is more accurate at learning domain-specific terms
• Accented English: Both struggle, but Otter makes fewer substitution errors
• Perfect audio conditions: The gap narrows to about 1.5%

For teams where transcript accuracy is non-negotiable — legal, medical, compliance, executive communications — Otter is the clear choice.

ELI5: Speaker Diarization — The AI figuring out who said what. Instead of one big block of text, it labels each sentence with the speaker’s name. Otter is better at this, especially when people talk over each other or sound similar.

Conversation Intelligence: Fireflies Wins

This is Fireflies’ differentiator and the reason sales teams and managers gravitate toward it. Beyond transcription, Fireflies analyzes conversations for:

• Talk-to-listen ratios: How much did each participant speak? (Critical for sales coaching — reps who listen more close more deals.)
• Sentiment analysis: Was the conversation positive, negative, or neutral? How did sentiment shift over time?
• Topic tracking: What subjects were discussed and for how long?
• Action item detection: Automatically identifies commitments and next steps
• Question tracking: How many questions were asked, and by whom?
• Filler word detection: Counts “um,” “uh,” “like” — useful for presentation coaching

Otter provides meeting summaries and basic action item extraction, but nothing approaching Fireflies’ depth of analysis. Otter’s transcripts are more accurate text. Fireflies’ transcripts are more analyzed text.

For a sales team, Fireflies’ analytics are transformative. A sales manager can review a rep’s calls and see: “You talked 65% of the time. Top performers talk 40%. Client sentiment dropped when you discussed pricing. You asked 3 questions; top performers ask 8.” That’s coaching gold.

AI Summaries

Both tools generate AI summaries of meetings, but they approach it differently.

Otter’s summaries are concise — typically 3-5 bullet points covering key decisions and action items. Clean, accurate, and brief. Good for “I missed the meeting, what happened?” scenarios.

Fireflies’ summaries are more structured — organized by topic with time stamps, broken into sections (overview, action items, decisions, questions raised, follow-ups). More detailed, but sometimes overwhelming for quick scans.

In our preference testing, quick-update seekers preferred Otter’s summaries. Managers who needed to review meetings they didn’t attend preferred Fireflies’ detailed breakdowns.

Integration Ecosystem

Fireflies wins on integrations, particularly for sales teams:

• CRM integration: Fireflies pushes meeting notes directly to Salesforce, HubSpot, and Pipedrive contact records. Otter doesn’t integrate with CRMs natively.
• Project management: Both integrate with Slack, Notion, and Asana. Fireflies adds Trello, Monday.com, and ClickUp.
• Storage: Fireflies pushes transcripts to Google Drive, Dropbox, and Box automatically.

Otter’s integrations are more limited but cover the basics well. Zoom, Google Meet, and Teams integrations are solid on both platforms.

If your workflow involves pushing meeting insights into a CRM or project management tool, Fireflies’ integration depth saves significant manual work.

ELI5: Conversation Intelligence — Going beyond “what was said” to analyze “how it was said.” It measures things like who talked most, whether the mood was positive or negative, what topics came up, and what actions were promised. Like having a meeting coach review every call for you.

Search and Organization

Both tools let you search across all your transcripts — a killer feature for finding “that thing someone said three meetings ago.” Full-text search across months of meetings surfaces relevant moments in seconds.

Otter’s search is straightforward text search with speaker and date filters. Fireflies adds topic-based search, sentiment-based filtering (“show me all negative moments from client calls”), and smart filters for action items and questions.

For organizations with hundreds of recorded meetings, Fireflies’ advanced search makes historical meeting data more actionable. Otter’s search is functional but basic.

Pricing

Plan	Otter.ai	Fireflies.ai
Free	600 min/mo (30 min/meeting)	800 min/mo (limited)
Pro/Entry	$17/mo (1200 min/mo)	$19/mo (unlimited)
Business	$30/mo	$39/mo
Enterprise	Custom	Custom

The free tiers are generous on both platforms — enough for 2-3 meetings per week. Pro plans are closely priced at $17 vs $19 per month. Fireflies’ Pro plan includes unlimited transcription minutes, which edges it ahead for high-volume users.

At the Business tier ($30 vs $39), Otter is cheaper. For teams of 10, that $90/month difference adds up to $1,080/year. But Fireflies’ conversation intelligence features at the Business tier may justify the premium for sales-focused organizations.

Pick Otter.ai If…

• Transcription accuracy is your top priority
• You need reliable meeting notes, not analytics
• You work in legal, medical, or compliance (where every word matters)
• You want the most accurate speaker identification
• Budget is a concern (slightly cheaper at most tiers)
• You prefer clean, simple summaries over detailed breakdowns

Pick Fireflies.ai If…

• You manage a sales team and need conversation coaching data
• Talk-time ratios and sentiment analysis would change how you manage
• You need CRM integration (Salesforce, HubSpot)
• You want deeper analytics beyond raw transcription
• You produce high meeting volumes (unlimited minutes on Pro)
• You need advanced cross-meeting search and filtering

The Bottom Line

Otter.ai is the better transcription tool. Fireflies.ai is the better meeting intelligence platform. Those are genuinely different products that happen to share a transcription feature.

If you just need accurate meeting transcripts with good summaries, Otter is simpler, cheaper, and more accurate. If you want to extract business intelligence from your conversations — coaching insights, sentiment trends, engagement metrics — Fireflies turns meetings into data.

In our team, we use Otter for client-facing meetings (where transcript accuracy protects us) and Fireflies for internal sales reviews (where analytics improve performance). If you can only pick one, pick based on your primary use case.

Frequently Asked Questions

Is Otter.ai or Fireflies.ai more accurate? ▼

Otter.ai is more accurate for transcription. In our testing across 50 meetings, Otter achieved 96% word-level accuracy vs Fireflies' 93%. The gap widens with multiple speakers, accents, or background noise. For meetings where every word matters (legal, medical, executive), Otter is the safer choice.

Can Fireflies.ai replace Otter.ai? ▼

For most business users, yes — if you value analytics over raw accuracy. Fireflies' conversation intelligence (sentiment analysis, talk-time ratios, topic tracking) provides insights that Otter doesn't offer. If transcription accuracy is your top priority, stick with Otter.

Do both tools work with Zoom? ▼

Yes. Both integrate with Zoom, Google Meet, Microsoft Teams, and other major meeting platforms. Both can join meetings automatically as a bot participant, or you can upload recordings for transcription after the fact.

Which is better for sales teams? ▼

Fireflies.ai. Its conversation intelligence features — talk-to-listen ratios, sentiment tracking, objection detection, and CRM integration — are built for sales workflows. Otter is better for general note-taking and meeting documentation.