Otter.ai vs Fireflies.ai: Best AI Meeting Note-Taker for Remote Teams

In 2024, the average knowledge worker spends nearly 31 hours per month in meetings—a figure that has barely budged despite the shift to remote work. The bigger problem isn’t the time spent; it’s what gets lost. According to a study by Doodle, $399 billion is wasted annually in the US on unproductive meetings, largely because attendees miss critical details, action items, and decisions.

Enter AI meeting note-takers. Tools like Otter.ai and Fireflies.ai promise to sit in every call, transcribe every word, and deliver clean summaries so your team can focus on talking, not typing. But with overlapping features and similar price points, choosing between them can feel like splitting hairs.

I tested both platforms across a week of real Zoom calls, Google Meet sessions, and even a chaotic Slack huddle. Here is how they stack up for remote teams that actually need to get things done.

The Core Difference: Meeting Bot vs. Live Scribe

Before diving into features, it helps to understand the fundamental architecture difference.

Otter.ai is built as a live, collaborative transcription service. It joins your meeting as a participant, transcribes in real time, and (on paid plans) lets multiple users edit and highlight text live. It feels like a shared Google Doc with a voice.

Fireflies.ai is more of a background recorder with a heavy AI processing layer. Its bot joins the call, records the audio, and then processes the transcript through its “AskFred” AI assistant. The output is heavily summarized, and the searchability across your entire meeting history is its strongest suit.

This distinction shapes everything else—from pricing to integrations to how you actually use the tool day-to-day.

Transcription Accuracy: The Baseline Metric

If the transcript is garbled, nothing else matters. I tested both on a 45-minute product strategy call with two speakers (one with a slight accent, one with fast-paced delivery).

Otter.ai delivered a 95% word accuracy on the fast speaker and 97% on the accented speaker. It handles punctuation and paragraph breaks well, and it distinguishes speakers accurately even when they interrupt each other. The live word-by-word display is genuinely impressive—you watch the text appear as the person speaks.

Fireflies.ai came in slightly lower at 91% and 93% respectively. It struggles more with overlapping speech and sometimes merges two speakers into one block. However, it excels at cleaning up filler words. While Otter gives you a raw “um” and “uh” transcript, Fireflies automatically strips most filler words, making the final read cleaner.

Verdict: If you need verbatim accuracy for legal, medical, or detailed technical discussions, Otter wins. If you want a readable summary, Fireflies’ cleanup is actually a feature, not a bug.

AI Summaries and Action Items: Where the Value Lives

Raw transcripts are useful, but summaries are what save your team time.

Otter.ai introduced OtterPilot, its AI assistant that generates a summary, outlines key topics, and extracts action items. The quality is solid but generic. The summary reads like a well-structured meeting minutes document—it lists what was discussed but doesn’t always capture the tension or the decision rationale. You get a list of “action items,” but they’re often phrased as “John discussed the marketing budget” rather than “John will finalize the budget by Friday.”

Fireflies.ai takes a more aggressive approach. Its AskFred AI produces three outputs: a concise summary (150 words), a detailed outline (600 words), and a list of action items with owners and due dates. The action item extraction is noticeably better. On the same test call, Fireflies correctly identified “Sarah to send revised pricing deck to client by Wednesday” while Otter simply noted “Sarah mentioned the pricing deck.”

Fireflies also offers custom AI templates. You can tell it, “Focus on objections raised by the client” or “Extract all budget numbers mentioned.” This is a game-changer for sales teams and project managers who need specific data pulled from every call.

Verdict: Fireflies wins on AI summary quality and customization. Otter’s summaries are fine, but they feel like a first draft, not a finished product.

Integrations and Workflow Fit

A meeting note-taker is only useful if it lives where your team already works.

Otter.ai integrates natively with Zoom, Microsoft Teams, Google Meet, and Cisco Webex. It also has a mobile app that records in-person meetings. For Slack and Notion, you can set up Zapier connections, but the native experience is limited. One notable gap: Otter does not natively integrate with Salesforce, which is a dealbreaker for sales-heavy remote teams.

Fireflies.ai supports the same major video conferencing platforms plus Webex, RingCentral, and even Skype. It also has a deeper native integration with Salesforce, automatically logging call notes and action items to the relevant opportunity or contact. It connects to Notion, Asana, and Jira out of the box, and its two-way Slack integration lets you share meeting notes directly into a channel without leaving the conversation.

Verdict: Fireflies is built for the modern remote stack. Otter is fine for general use, but if your team relies on CRM or project management tools, Fireflies saves you hours of manual copying.

Search and Knowledge Base: The Hidden Differentiator

This is where Fireflies pulls ahead significantly.

Imagine you need to find what a client said about “budget constraints” three months ago. In Otter.ai, you can search within a single conversation, but cross-meeting search is clunky. You have to open each transcript and use Ctrl+F.

Fireflies.ai treats your entire meeting history as a searchable database. You can type a query like “What did Acme Corp say about their Q4 budget?” and AskFred will scan every meeting, pull relevant snippets, and link you to the exact timestamp. This turns Fireflies from a note-taker into a corporate memory.

For remote teams where institutional knowledge is scattered across dozens of Zoom calls, this search capability is arguably worth the subscription cost alone.

Verdict: Fireflies wins decisively on search and knowledge retrieval.

Security and Compliance

Both tools are SOC 2 Type II compliant and offer encryption in transit and at rest. Otter.ai offers HIPAA compliance on its Business plan, which is crucial for healthcare teams. Fireflies.ai does not currently offer HIPAA compliance, which is a notable limitation for medical or legal practices.

However, Fireflies offers custom data retention policies and the ability to auto-delete transcripts after a set period, which some enterprise teams prefer for data minimization.

Verdict: Otter for healthcare and HIPAA; Fireflies for enterprise data governance.

Pricing: What You Actually Pay

Both tools have free tiers, but they’re quite limited.

Otter.ai:

  • Free: 300 minutes/month, 30 minutes per conversation
  • Pro ($16.99/user/month billed annually): 1,200 minutes, advanced search, and custom vocabulary
  • Business ($30/user/month): Team analytics, SSO, and admin controls

Fireflies.ai:

  • Free: 800 minutes of storage, unlimited transcription (capped at 30 min per meeting)
  • Pro ($18/user/month): Unlimited transcription, AskFred AI, and integrations
  • Business ($29/user/month): Salesforce integration, custom AI models, and advanced security

Note that Fireflies’ free tier gives you more total minutes, but the 30-minute cap per meeting means long strategy sessions will get cut off unless you upgrade.

Verdict: Comparable pricing. Fireflies’ Pro tier offers more value for integrations; Otter’s Pro is slightly cheaper if you only need basic transcription.

The Remote Team Workflow Test

To ground this in reality, I simulated a common remote workflow: a product team uses Zoom for a weekly standup, Notion for documentation, and Slack for communication.

With Otter.ai:

  • The bot joins the Zoom call and transcribes live.
  • After the call, a summary appears in the Otter dashboard.
  • I copy the action items into Notion manually (or set up a Zapier automation).
  • To find a past decision, I scroll through dated transcripts.

With Fireflies.ai:

  • The bot joins the call and records.
  • AskFred generates a summary and action items automatically.
  • The summary is pushed directly to Notion via native integration.
  • I ask AskFred in Slack: “What did we decide about the onboarding flow last Tuesday?” It pulls the answer instantly.

The difference is not marginal—it’s the difference between a tool that saves you 30 minutes and a tool that saves you 3 hours per week.

The Bottom Line

If you need verbatim, real-time transcription and work in healthcare or education, choose Otter.ai. It’s reliable, accurate, and has a cleaner live editing experience.

If you want an AI assistant that turns meetings into searchable knowledge, choose Fireflies.ai. Its superior summaries, native CRM integrations, and cross-meeting search make it the better long-term investment for most remote teams.

A final practical note: don’t sign a yearly contract on either before running a two-week trial with your actual team. AI note-takers are only as good as your team’s willingness to use them—and the best tool is the one that actually becomes a habit.