Otter.ai vs Fireflies.ai: Which Should You Choose?
We compare two of the most popular cloud-based AI meeting assistants head to head.
Otter.ai and Fireflies.ai are two of the most well-known names in the AI meeting assistant space. Both have been around for several years, both offer generous free tiers, and both promise to make your meetings more productive. But they take meaningfully different approaches, and the right choice depends heavily on how you work.
We spent three weeks using both tools across a mix of Zoom calls, Google Meet sessions, and Microsoft Teams meetings. Here’s what we found.
Setup and Onboarding
Otter.ai gets you up and running quickly. Connect your calendar, authorize the integration with your meeting platform, and Otter’s bot joins your calls automatically. The onboarding flow is clean and the web interface is intuitive. There’s also a solid mobile app for recording in-person meetings.
Fireflies.ai follows a similar pattern: calendar integration, bot-based recording, web dashboard. The initial setup takes roughly the same amount of time. Where Fireflies differs is in its emphasis on CRM and workflow integrations from the start. During onboarding, you’re prompted to connect tools like Salesforce, HubSpot, and Slack.
Verdict: Roughly tied. Both are easy to set up, though Fireflies pushes integrations harder.
Transcription Quality
This is where things get interesting.
Otter.ai has historically been strong on transcription accuracy, especially for English-language meetings with clear audio. In our testing, it handled two-speaker conversations reliably, with accuracy hovering around 90-93%. It struggled more with heavy accents, cross-talk, and meetings with more than five active speakers.
Fireflies.ai produced comparable accuracy in standard conditions. Where it pulled slightly ahead was in handling domain-specific vocabulary; it seemed to adapt faster to technical terms and jargon. That said, its speaker identification was less reliable than Otter’s when participants didn’t announce themselves clearly.
Verdict: Close call. Otter has a slight edge on speaker diarization; Fireflies handles jargon marginally better.
Summaries and AI Features
Otter.ai generates automatic summaries with action items after each meeting. The summaries are decent but can feel generic. The real strength is OtterPilot, which provides real-time transcription and can auto-generate follow-up emails. The AI chat feature lets you ask questions about your transcripts.
Fireflies.ai takes a more structured approach to summaries. It breaks meetings into topics, highlights action items, and provides sentiment analysis. The AI-generated notes feel more organized and detailed. Fireflies also offers “Smart Search” across all your meetings, which is genuinely useful for finding that one conversation where a decision was made weeks ago.
Verdict: Fireflies wins on summary quality and organization. Otter wins on real-time features.
Pricing
Otter.ai offers a free tier with 300 minutes per month and 30-minute meeting limits. The Pro plan runs $16.99/month (billed annually) and bumps that to 1,200 minutes with 90-minute meetings. Business plans start at $30/user/month.
Fireflies.ai also has a free tier with limited transcription credits. The Pro plan is $18/month (billed annually) for unlimited transcription. The Business plan at $29/month adds analytics and conversation intelligence features.
Verdict: Comparable pricing. Fireflies offers slightly better value at the Pro tier with unlimited transcription.
The Bot Problem
Both Otter and Fireflies use meeting bots, virtual participants that join your call to record audio. This works reliably, but it introduces a social dynamic that’s worth considering.
When “Otter.ai Notetaker” or “Fireflies.ai Notetaker” pops up in the participant list, everyone in the meeting knows they’re being recorded and transcribed by a third-party cloud service. In internal meetings, this is usually fine. In sales calls, client meetings, or sensitive conversations, it can create friction. Some participants become guarded. Others ask for the bot to be removed.
Both services also process your audio on their cloud servers. Your meeting audio is uploaded, transcribed remotely, and stored on their infrastructure. For many teams this is perfectly acceptable. For organizations handling sensitive data (legal, healthcare, finance, government), it may not meet compliance requirements.
An alternative approach: Tools like Hedy take a fundamentally different approach by processing everything on-device. There’s no bot joining the call, no audio leaving your machine, and no cloud dependency for transcription. It captures system audio directly, works across any meeting platform, and keeps your data entirely local. It’s worth considering if privacy is a priority for your team.
Integration Ecosystem
Otter.ai integrates with Zoom, Google Meet, Microsoft Teams, Dropbox, and a handful of other tools. The Salesforce integration is available on higher tiers.
Fireflies.ai has a broader integration roster, including CRM tools (Salesforce, HubSpot), project management (Asana, Trello, Monday), communication tools (Slack, Teams), and a strong API for custom integrations.
Verdict: Fireflies wins clearly on integrations.
Bottom Line
Choose Otter.ai if: You want a straightforward, polished transcription tool with good real-time features and you primarily work in English-language meetings.
Choose Fireflies.ai if: You need deeper integrations, better organized summaries, and work in a sales or customer-facing role where conversation intelligence matters.
Consider alternatives if: Privacy is a top concern and you need your meeting data to stay on your device. The cloud-based approach that both Otter and Fireflies rely on isn’t the only option anymore.