Otter.ai vs Fireflies.ai: Best AI Meeting Assistant Compared

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otter ai vs fireflies
Published
April 6, 2026
Reading Time
7 min
Core Topic
Otter.ai vs Fireflies.ai compared in 2026: transcription accuracy, meeting summaries, integrations, pricing, and which AI meeting assistant is right for your team.
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Otter.ai vs Fireflies.ai: Best AI Meeting Assistant Compared

GoAIReels Editorial
7 min read

Otter.ai and Fireflies.ai both transcribe meetings and generate summaries — but they approach the problem differently. Otter.ai focuses on real-time transcription and note-taking for individuals and small teams. Fireflies.ai focuses on meeting intelligence, conversation analytics, and enterprise team workflows. The right choice depends on whether you primarily need transcription or meeting intelligence.

The Short Answer

Choose Otter.ai if you need accurate real-time transcription, want to review meetings quickly, and primarily work in Google Meet, Zoom, or Microsoft Teams. Choose Fireflies.ai if you need conversation analytics, want to search across your entire meeting history, or need to track action items, topics, and speaker patterns across your organization.

Quick Comparison

FeatureOtter.aiFireflies.ai
Transcription accuracyExcellent (95%+)Good (90-95%)
Real-time transcriptionYesYes
Meeting summariesYesYes
Action item extractionYesYes (stronger)
Conversation analyticsBasicAdvanced
Topic trackingLimitedYes
Speaker sentimentNoYes
Searchable archiveYesYes (better)
CRM integrationLimitedSalesforce, HubSpot
Free tier300 min/mo800 min/mo
Paid price$8.33/mo$10/mo
Best forIndividual, small teamSales teams, enterprises

Transcription Accuracy

Both tools produce accurate transcriptions, but there are meaningful differences in specific scenarios.

Otter.ai consistently scores higher in transcription accuracy testing — particularly for:

  • US English accents (near-perfect on clear audio)
  • Fast speakers in one-on-one conversations
  • Technical vocabulary when speaker profiles are established
  • Real-time transcription quality during live meetings

Fireflies.ai performs well across a broader range of accents but slightly below Otter in pure transcription accuracy. Where Fireflies compensates is in post-processing: its AI clean-up of transcripts removes more filler words and formatting irregularities, making the final transcript more readable even if the raw accuracy is marginally lower.

Winner: Otter.ai for transcription accuracy — though the gap is narrow on clear audio with standard accents.

Meeting Summaries

Both tools generate AI summaries of meetings, but the quality and structure differ.

Otter.ai summaries are concise and accurate — a paragraph or two covering the meeting’s main topics and key decisions. Good for quick review. The summary is generated within a few minutes of the meeting ending.

Fireflies.ai summaries are more structured: they include an overview, key topics discussed with timestamps, action items with assignees, and follow-up questions. The level of structure is more useful for meeting follow-up workflows, particularly when distributing notes to participants who were not present.

Winner: Fireflies.ai for meeting summary structure and action item extraction.

Conversation Analytics

This is where the tools diverge significantly.

Otter.ai provides:

  • Talk time per speaker (percentage breakdown)
  • Word count per participant
  • Basic search across transcript text

Fireflies.ai provides:

  • Talk time ratios with visualization
  • Speaker sentiment analysis (positive, neutral, negative tone by segment)
  • Topic tracking across meetings (how often certain topics come up across your archive)
  • Question ratio (how often each participant asks questions vs. makes statements)
  • Custom metrics for sales teams (talk-to-listen ratio, competitor mentions, objection handling)
  • Conversation intelligence reports

For sales teams, the conversation analytics are genuinely valuable. Identifying that your top reps have a 45% talk-to-listen ratio while bottom performers talk 70% of the time is actionable coaching data. Otter.ai does not offer this depth of analysis.

Winner: Fireflies.ai — significantly more advanced conversation intelligence.

Integrations

Otter.ai integrates with:

  • Zoom (automatic join)
  • Google Meet (automatic join)
  • Microsoft Teams (automatic join)
  • Google Calendar (schedule detection)
  • Dropbox, Slack (transcript export)
  • Otter for Salesforce (limited)

Fireflies.ai integrates with:

  • All major video conferencing (Zoom, Meet, Teams, Webex, RingCentral)
  • Salesforce (native CRM integration)
  • HubSpot (native CRM integration)
  • Pipedrive, Zoho, and other CRMs
  • Notion, Asana, Monday.com (action item sync)
  • Zapier and Make (custom automation)
  • Slack, Microsoft Teams (share summaries)

For enterprise sales teams that need meeting notes to flow into Salesforce or HubSpot automatically, Fireflies’ CRM integrations are a significant advantage. Otter’s CRM integration is more limited and requires more manual workflow.

Winner: Fireflies.ai for enterprise and CRM-connected workflows.

Free Tiers

Both tools offer permanent free tiers — and Fireflies’ free tier is more generous.

Otter.ai Free:

  • 300 minutes of transcription per month
  • Maximum 30 minutes per conversation
  • Imports up to 3 audio files per month
  • Otter AI chat (ask questions about your transcripts)

Fireflies.ai Free:

  • 800 minutes of transcription per month
  • Unlimited meeting transcriptions
  • Limited AI summary credits (but sufficient for moderate use)
  • 3 months of storage

For users who want to test before committing, Fireflies’ 800 minutes/month free tier is roughly equivalent to 13 hours of meeting time — plenty for most individual users to evaluate the tool seriously.

Winner: Fireflies.ai on free tier generosity.

Pricing

PlanOtter.aiFireflies.ai
Free300 min/mo800 min/mo
Pro/Starter$8.33/mo$10/mo
Business$20/user/mo$19/user/mo
EnterpriseCustomCustom

The pricing is very close at the individual level ($8.33 vs. $10/mo). At the team level they are nearly identical ($20 vs. $19/user/month). Cost alone should not be the deciding factor — the feature differentiation is far more significant than the price gap.

Use Case Recommendations

Individual Knowledge Workers

For professionals who want to quickly review meeting notes, search for what was said, and share summaries with colleagues, Otter.ai delivers excellent results with a lighter interface. The 300-minute free tier covers many users’ monthly meeting load.

Podcast and Interview Hosts

Otter.ai is particularly useful for podcast hosts who record conversations. Real-time transcription during the interview lets you catch exact quotes without rewinding, reference earlier statements, and identify timestamp markers for editing. The transcript exports cleanly for show notes generation.

Sales Teams

Fireflies.ai’s CRM integration, talk-time analytics, and conversation intelligence are built specifically for sales use cases. Sales managers can review rep call performance across hundreds of meetings without listening to each recording. The Salesforce/HubSpot sync eliminates manual CRM note entry after customer calls.

Research and Academic Interviews

Otter’s accuracy on clean audio with single or two-person conversation makes it the better choice for academic interviews, user research sessions, and research transcription. The ability to create a speaker profile improves accuracy further on repeated recordings with the same participants.

HR and Management Teams

Fireflies’ structured summaries with action items and its ability to track decisions across meeting archives make it more useful for management workflows — tracking what was committed to in one-on-ones, surfacing recurring discussion topics, and maintaining searchable decision logs.

Key Differences Summary

The core distinction comes down to use case:

Otter.ai is a better transcription tool — more accurate on clean audio, real-time display during meetings, cleaner individual user experience.

Fireflies.ai is a better meeting intelligence tool — more advanced analytics, better CRM integrations, more structured summaries, more powerful search across your full meeting archive.

If you say “I need to know what was said in my meetings,” Otter.ai is likely sufficient. If you say “I need to understand patterns in how my team communicates and what gets decided,” Fireflies.ai provides the analytics layer to answer that question.

Bottom Line

Neither tool is clearly superior — they serve different needs. Otter.ai wins on transcription accuracy and individual user experience. Fireflies.ai wins on meeting intelligence, integrations, and team/enterprise workflows.

For most individual professionals and small teams: start with Otter.ai’s free tier. The accuracy, real-time transcription, and simplicity are well-matched to individual workflows.

For sales teams, managers who need conversation analytics, and enterprises that need Salesforce/HubSpot integration: Fireflies.ai’s meeting intelligence capabilities justify the slightly higher price.

Both tools are free to start. Try both for a month before committing to a paid plan — the right choice will become clear from real usage.