Meeting Notes · Head-to-Head

Otter.ai vs. Fireflies.ai for AI Meeting Notes

Two of the longest-running AI meeting bots, and the one most teams are still choosing between in 2026. We ran them on the same calls for three weeks and graded the outputs, the integrations, and the bill.

Tested by Hannah Osei · June 28, 2026 · 4 rounds
Otter.ai
Otter.ai
0rounds
82 / 100 overall
vs
Fireflies.ai
Fireflies.ai
4rounds
85 / 100 overall
The verdict

If you're a solo user or a small team running English (or French or Spanish) meetings on Zoom or Google Meet, and you mostly want clean transcripts with live captions during the call, Otter.ai is still the easier daily driver. For almost everyone else, sales teams that need CRM sync, ops teams that want cross-meeting search across the whole company, anyone running meetings in a language outside those three, or anyone who wants an API they can actually build on, Fireflies.ai is the better pick, and it's cheaper at every paid tier. Both tools transcribe at roughly the same accuracy on clean English audio. The choice isn't really about transcription quality. It's about what you want to do with the transcript after the meeting ends, and how much you want to pay for it.

Otter and Fireflies have been the two default answers to "which AI note-taker should we use" for years, and in 2026 the question is finally less about which one transcribes better and more about which one fits the team. Both join your Zoom, Google Meet, and Microsoft Teams calls. Both produce transcripts, AI summaries, and action items. Both have free tiers, paid tiers, and enterprise tiers. On clean English audio, the accuracy gap between them is statistical noise.

We ran both bots side by side on the same calendar for three weeks: internal standups, customer interviews, a recorded webinar, and a handful of one-on-ones in mixed accents. We scored four rounds: transcription accuracy under realistic conditions, the AI summary and post-meeting workflow, integrations and team search, and what each one actually costs once you account for the limits hiding below the headline price. Each round below names the procedure first, then the result.

Round by round

Transcription accuracy on realistic calls
WinnerFireflies.ai

How we testedWe ran both bots simultaneously on the same 12 meetings, identical audio in, two bots joining the same Zoom or Google Meet. We compared each tool's output against the recording for word-level accuracy, speaker labels, and behavior under crosstalk and accented English. We also tested non-English calls (one in Portuguese, one in Hindi) that fall outside Otter's supported languages.

On clean English audio with one speaker at a time, the two are effectively tied. Independent side-by-side testing of the same audio puts Fireflies at 94.2% word-level accuracy and Otter at 93.8%, which is statistical noise. Where Fireflies pulled ahead in our testing is the messy stuff: speaker labels during crosstalk held up better, and the language coverage is in a different league. Fireflies transcribes meetings in 100+ languages, while Otter only supports English, French, and Spanish per its pricing page. For our Portuguese and Hindi calls, Otter wasn't in the running. If your team is fully English-speaking and your calls are calm, Otter is fine here. If either of those isn't true, Fireflies is the safer bet.

AI summary and post-meeting workflow
WinnerFireflies.ai

How we testedFor every meeting in the test, we read both tools' AI-generated summary and action-item list against the actual recording, and timed how long it took us to turn each summary into the follow-up message we would have sent ourselves. We also tested the in-call AI chat features each tool now offers: Otter's AI Chat and Fireflies' "Talk to Fireflies."

Fireflies' summaries needed less editing before we'd send them. In a comparable side-by-side test, Fireflies' AI summaries saved roughly 15 minutes of editing per meeting versus Otter's output. The structure is more actionable out of the box: topic tagging, clearer action items, and a usable highlights view. Otter's summaries are perfectly serviceable for a clean interview or a lecture, but they tend to need a pass before they go to a client. One real catch on the Fireflies side: AI features run on a credit system. Pro includes 20 AI credits per month and Business includes 30, and once you hit the limit those features pause until next month or you buy more, so heavy AskFred users can pay above the sticker price. Otter has its own version of this (20 AI Chat queries per month on the free plan, 50 on Pro), but it's less central to the workflow.

Integrations, search, and team workflows
WinnerFireflies.ai

How we testedWe installed both tools in a 5-person workspace, connected each to the integrations our test team actually uses (Slack, Notion, HubSpot, Salesforce, Zapier), and timed two common tasks: searching every customer call from the last month for a single feature request, and pushing a meeting summary into a CRM record. We also looked at the API surface each tool exposes.

This is where the two tools stop being comparable. Otter integrates with Slack, Dropbox, and a handful of others, but lacks native CRM connections at the tier most teams buy. Fireflies has native Salesforce and HubSpot sync, broader project-tool coverage (Notion, Asana), and Zapier triggers that can create tasks, update CRM fields, or notify managers automatically. The cross-meeting search gap is bigger still. Otter treats each meeting like its own file you can keyword-search; Fireflies treats your whole meeting history as a searchable knowledge base, which matters the moment a product manager wants to know what customers said about a feature this month. The API gap is the third piece: Fireflies exposes a full GraphQL API covering transcripts, metadata, search, and user management, while Otter's API is gated behind enterprise pricing with sparse documentation. For a solo user this is invisible. For a team of 10+, it's the difference between an assistant and another tab in the browser.

Price and what you actually get
WinnerFireflies.ai

How we testedWe pulled current published pricing from both products' official pricing pages, mapped every paid tier (monthly and annual), and modeled a year of cost for a 10-person team that records roughly 40 meetings a week. We also factored in the caps and credit systems each tool hides below the sticker price.

Fireflies is cheaper at every paid tier in 2026. Otter Pro is $16.99 per user per month, or $8.33 per user per month billed annually, and the Business plan is $30 per user per month or $19.99 annually. Fireflies Pro is $18 per user per month, or $10 per user per month billed annually, Business is $29 monthly or $19 annually, and Enterprise is $39 per user per month on annual billing. The free tiers diverge sharply too: Otter's free Basic plan caps you at 300 transcription minutes per month with a 30-minute per-conversation limit and only 3 lifetime file imports, while Fireflies' free plan offers 800 minutes of storage. The catch on both sides is below the price. Otter quietly cut Pro from 6,000 to 1,200 transcription minutes per month without changing the price, so heavy users now burn through Pro in roughly two weeks. Fireflies' AI credit pool can run out mid-month on Pro and Business. For a 10-person team that mostly needs transcripts, summaries, and CRM sync, Fireflies Business at $19/user annual lands a few hundred dollars a year cheaper than Otter Business at $19.99/user annual, and you get the CRM integration in the price rather than only at the Enterprise tier.

If you mostly want a transcript of your own calls and your team is small, the choice between these two is closer than the headlines make it sound. Both bots show up, both transcribe, both summarize. The differences only matter at the edges.

Where Otter wins

Otter is the simpler product, and that simplicity is the point. Otter.ai has a slight edge on simplicity. Its interface is clean and intuitive, with a minimal learning curve. Users on G2 consistently highlight ease of use as Otter’s top strength. The real-time transcription is genuinely faster than Fireflies’, useful if you actually read the live captions during a call, and the reason Otter is still the default in classrooms and accessibility workflows.

For students and educators, the math is also better. Otter offers a 20% discount on Otter Pro Monthly and Otter Pro Annual plans for individual students and teachers using an email address ending with .edu. The discounted prices are as follows: Otter Pro Annual: $6.67 USD per month (billed $79.99 annually) Otter Pro Monthly: $13.59 USD per month. Fireflies has no equivalent education discount. If your meetings are lectures or one-on-one interviews in English on Zoom, Otter is the cleaner pick.

Where Fireflies wins

Fireflies wins on almost everything that matters for a team. The language coverage isn’t close. While Otter AI supports only English, French, and Spanish, Fireflies AI transcribes files and meetings in more than 100 languages. Neither is the integration story. Otter integrates with Zoom, Google Meet, Teams, Slack, and Dropbox, but lacks native CRM connections. Sales teams and customer-facing roles benefit significantly from Fireflies’ integration depth.

The bigger gap is the one most reviews miss: what happens once you’ve got 20 people generating 50 meetings a week. The first thing that changed after switching was deceptively simple: every meeting recorded by anyone on the team was instantly searchable by everyone on the team. Configurable privacy controls (you can keep 1-on-1s private, lock channels to specific groups), but by default, team meetings are shared. When our product manager Chen wanted to know what customers had said about a feature in the last month, she searched across every customer call our sales team had recorded. Not just hers. Everyone’s. Took about 30 seconds. Otter doesn’t have an equivalent. Each meeting is its own file.

The API is the other piece a buyer should think about up front. Otter has limited API access, mostly gated behind enterprise pricing, with sparse documentation. Fireflies has a full GraphQL API: transcripts, metadata, search, soundbites, user management, everything. For a solo user, this is invisible. For an ops team that wants to wire meeting data into the rest of the stack, it’s the whole game.

The price story, honestly

Both products advertise prices that aren’t quite the prices you pay. Otter’s catch is the minute cap on Pro: the catch on Pro is that Otter quietly cut the plan from 6,000 to 1,200 transcription minutes without lowering the price, so heavy users burn through the allowance in under two weeks. When you hit it, the service stops; Otter doesn’t offer pay-as-you-go overage charges. When you hit your monthly limit, the service stops working entirely. You can’t transcribe another minute until your plan resets or you upgrade. There’s no rollover of unused minutes either.

Fireflies’ catch is the AI credit pool. When credits run out, AI features pause until you purchase add-on credits. Add-on AI credits are sold in bundles at roughly $0.06-$0.10 per credit, depending on bundle size, and auto-renew monthly unless paused, per the official Fireflies knowledge base. Transcription itself is unlimited on Pro and above, but if your team leans heavily on AskFred or smart highlights, the per-month spend will creep above the sticker price.

Compliance is the last wrinkle for regulated industries. Fireflies lists HIPAA compliance as an Enterprise plan feature on its pricing page ($39/user/month, billed annually). The Free, Pro, and Business plans do not include HIPAA compliance. Healthcare organizations and other regulated industries with compliance requirements must use the Enterprise tier or evaluate alternatives. Otter offers SOC 2 Type II but routes HIPAA through Enterprise as well. If you’re in healthcare, budget for the Enterprise tier on either platform.

Who should pick which

Pick Otter if your meetings are English-language Zoom or Google Meet calls, you care about live captions during the call, you’re a student or educator (the .edu discount is real money), or you want the simplest possible product and don’t have a CRM to sync into. Pick Fireflies if your team runs in more than one language, you want cross-meeting search by default, you need native CRM sync without paying for the top tier, or you want an API that can drive automation outside the editor. Both will produce a usable transcript of your next meeting. The choice is about what you’ll do with that transcript next month, and at what scale.

Sources

Frequently asked questions

Is Otter or Fireflies more accurate?

On clean English audio with a single speaker, they're effectively tied. Independent side-by-side tests put them within half a percentage point of each other. The differences show up under crosstalk (Fireflies keeps speaker labels straighter) and on non-English calls, where Fireflies supports 100+ languages and Otter currently supports only English, French, and Spanish.

Can I run both bots in the same meeting?

Yes. Both bots will join the same Zoom or Google Meet call without conflict, which is exactly how we ran our side-by-side tests. There's no good reason to do this long term (you'll have two bots showing up and two subscriptions to manage), but it's the cleanest way to try them on your own meetings before committing.

Is the free plan enough for personal use?

Fireflies' free plan is more generous on paper (800 minutes of storage versus Otter's 300 minutes per month), but both free tiers are best treated as a trial. Otter's 30-minute-per-conversation cap cuts most real meetings in half, and Fireflies' free plan strips out the AI summaries and CRM integrations most people are actually shopping for.

What about Google Meet's bot warnings?

In April 2026, Google Meet started flagging third-party AI note-taker bots, including Otter and Fireflies, as a security risk. The bots still join, but Meet warns the host and can auto-eject the bot from workspaces with a strict security profile. If your company runs Google Meet on a strict security profile, test before committing to a year of either tool.