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Otter.ai logo

Otter.ai

62/100

AI meeting transcription with speaker detection. Consumer-grade product — light on org-level governance for recruiting teams.

VS
Fireflies.ai logo

Fireflies.ai

62/100

Meeting transcription assistant with summary, search and CRM integrations. Panel attribution and data-governance controls are thin.

Otter.ai vs Fireflies.ai

The Verdict
Rating 4.7/10
🏆

Our pick

Fireflies.ai

Pick Otter for lower-volume individual use. Pick Fireflies if dial-in call recording or specific CRM integration matters. Neither as the primary notetaker if you're scaling past 5 hires/month.

Our verdict. Which one wins?

Best overall
Fireflies.ai
Rating 4.7/5
Best value
Otter.ai
Free plan available
Best for specialized needs
Otter.ai
solo recruiter

Summary

Both are general-use notetakers not built for hiring. Otter is slightly stronger on pure transcription and free tier; Fireflies has a broader integration surface (50+ tools, dial-in calls). Neither has the workspace governance a serious TA function needs.

Side-by-Side Comparison

FeatureOtter.aiFireflies.ai
PricingFreemium(Starting from Free tier (300 min/month), Pro from $16.99/user/month)Freemium(Starting from Free tier, Pro from $18/user/month, Business from $29/user/month)
Free PlanYesYes
Free TrialYesYes
Key Features
  • Real-time transcription
  • Automatic meeting summaries
  • Speaker identification
  • Zoom / Google Meet / Teams integration
  • Slack + CRM integrations
  • Searchable transcript library
  • Meeting transcription + summary
  • Topic tagging + search
  • CRM integrations (Salesforce, HubSpot)
  • Slack + email integrations
  • Dial-in call recording
  • Basic speaker identification
Best For
  • solo recruiter
  • startup
  • freelance
  • inhouse
  • agency
Pros
  • Free tier actually usable for low-volume hiring
  • Solid transcription accuracy on clean 1:1 audio
  • Wide calendar / meeting-platform integration
  • Reasonable transcription quality across call types
  • Broad integration surface (50+ tools)
  • Works on dial-in calls, not just video
Cons
  • Speaker attribution degrades in multi-interviewer panel calls
  • Candidate data sits in individual user accounts — no org-level workspace
  • No configurable retention or deletion controls for recruiting compliance
  • Attribution breaks down in panel interviews
  • Data-governance controls are thin vs. hiring compliance expectations
  • Optimized for sales/CS meeting intel rather than structured interviewing
Visit Otter.aiVisit Fireflies.ai

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