Otter vs Fireflies (2026): which is better, and which helps during the call?

Otter is the better pick if you read your meetings. Fireflies is the better pick if your meetings need to go somewhere. Otter is built around the transcript: words on screen during the call, and a verbatim record you can search after it. Fireflies is built around what happens once the call ends. It produces notes and action items, sends them into your CRM, task tools, and a team-wide library, and adds conversation analytics for sales teams. That’s the real difference, and it’s a difference in what happens after the call. On the two things people complain about most, the tools are the same: both send a notetaker bot into the meeting, and both write their summary after it ends. If one of those is why you’re comparing them, switching won’t fix it.

The short version

• Choose Otter if the transcript is the point. You want to follow the words live, search what was said last Tuesday, share a verbatim record, or record an in-person conversation on your phone.
• Choose Fireflies if the workflow is the point. You want notes and action items pushed into the tools your team already uses, CRM records updated after sales calls, and analytics across many reps’ calls.
• Choose neither if what you actually want is to know what’s being said right now, without a bot in the call. Both summarize after the meeting. That’s a different kind of tool, covered below.

Otter is built around the transcript

Otter started as a transcription app, and that’s still the core of the product. During an online meeting, its notetaker joins as a participant, and words scroll across your screen as people speak. There’s also an assistant that will answer a typed question about the meeting so far. After the call you get a summary, action items, and the transcript itself. The transcript is what Otter does best: a verbatim record you can search, highlight, and share, across your own meetings or a whole team’s.

Because the bot is inside the meeting, it can read participant names from the platform, so the transcript usually arrives labelled by speaker. How notetakers know who is speaking explains why that’s a real advantage bots have. Otter’s mobile app adds a second mode that has nothing to do with bots. Put the phone on the table and it records the room through the microphone, which is the right tool for an in-person conversation. AI notes for an in-person meeting covers when that works and when it doesn’t.

The product is built for reading. Some people go back to the exact words: a journalist checking a quote, a researcher reviewing an interview, a team that settles “what did the customer actually say?” by searching the record. Otter is built for them. The full head-to-head with Canary is in Canary vs Otter.

Fireflies is built around what happens after

Fireflies’ notetaker also joins as a participant and records. What it shows you during the call is thinner: depending on plan and setup, you may be able to follow a live transcript. Most of the product happens after you hang up. That’s when Fireflies writes the overview, bullet notes, and action items, and then sends them on. After a sales call they go into your CRM. Integrations push them into Slack, task trackers, and docs. And every recorded call lands in a searchable library shared across the organisation. Team plans add conversation intelligence that sales managers use to coach reps, such as talk-time breakdowns and tracking which topics come up across calls.

The product is built for routing. Fireflies treats the transcript mostly as raw material for what it sends on. It suits revenue teams, and anyone responsible for getting every call’s decisions into the systems of record without retyping them. The full head-to-head is in Canary vs Fireflies.

Where they’re identical, and why that matters if you’re switching

A lot of people searching “Otter vs Fireflies” already use one of them and are unhappy about something. Check whether that something is on the list below. These are things the two tools share, so switching changes none of them.

• Both put a bot in the participant list. By default, each captures online meetings by sending a notetaker that joins through the meeting link like a guest. Everyone on the call can see it, and the host can admit it, remove it, or keep notetakers out entirely. On a call someone else hosts, whether your notes exist is their decision, not yours.
• Both lean on your calendar. The bot has to know which meetings exist and what their links are, so both tools work best with calendar access and both offer auto-join. That’s how a notetaker ends up in a meeting its owner never attended, and why “why did a bot join my meeting?” is such a common search. It’s also a genuine feature: a bot can attend a meeting you skip.
• Both summarize after the meeting. The summary, action items, and decisions are written once the recording ends. During the call, the most either gives you is a transcript.

So if the problem is the bot, the timing, or a host refusing entry, moving from Otter to Fireflies (or back) just swaps one bot for another. The choice that would change the answer is between ways of capturing a meeting, not between vendors.

Two axes, one cell

Every tool in this category answers two questions. Where does it listen? Either through a bot that joins as a participant, or on your own machine, through system audio. When does it summarize? Either during the call, or after it.

	Summarizes after the call	Summarizes during the call
Listens via a bot in the call	Otter, Fireflies	(empty)
Listens on your machine (system audio)	Granola	Canary

Otter and Fireflies sit in the same cell. That’s why most comparisons of the two end up being about the after-call output: how good the transcript is, how many integrations there are, what the analytics show. Those differences are real, but they all sit inside one corner of the grid. The split between the columns is the subject of post-meeting vs in-meeting AI notes. The three-way version of this grid, with Granola and Fathom, is in Granola vs Otter vs Fathom.

During the call: which one helps more?

Most people never test the mid-meeting moment before they buy. You drift to Slack for ninety seconds, someone says your name, and you have two seconds to work out where the conversation is.

Otter wins this, narrowly. There’s something on screen to read, and because the bot has the participant list, it’s labelled by speaker. But a transcript is the full text, so catching up means reading the last three minutes of dialogue while a fourth minute arrives. Asking the assistant is better. Still, that’s a typed question for every catch-up, typed while the room waits for your answer. More detail: does Otter show a summary during the meeting?

Fireflies comes second, because it isn’t designed for this moment at all. Where a live transcript is available, it has the same limits as Otter’s. The summary that would actually help arrives after you hang up. More detail: does Fireflies show a summary during the meeting?

That isn’t really a flaw in either tool, since both are built for the record. It does mean that “which one helps me when I’ve lost the thread?” has a disappointing answer: not much, and only if you read. That gap is the difference between a live transcript and a live summary.

The at-a-glance table

	Otter	Fireflies	Canary
Built around	The transcript: reading and searching what was said	The after-call pipeline: notes, integrations, CRM, analytics	The live moment: knowing where the conversation is now
What you see during the call	Live transcript; an assistant answers typed questions	The bot recording; a live transcript in some plans and setups	Live rolling summary: now, last 2 min, last 5 min, full call
Live summary during the meeting?	No (live transcript)	No	Yes
When the summary arrives	After the call	After the call	Continuously, while people are talking
Bot in the participant list?	Yes	Yes	No
Capture method	Bot joins the meeting; mobile app records through the mic	Bot joins the meeting; mobile app records through the mic	System audio on your machine; no plugin, no virtual audio device
Works as a guest on someone else’s call?	Only if the host admits the bot	Only if the host admits the bot	Yes, it runs on your machine
Covers meetings you don’t attend?	Yes, via calendar auto-join	Yes, via calendar auto-join	No, it only hears what your computer plays
Integrations and CRM sync	Some, depending on plan	Core strength	Not built for it
Best at	Verbatim, searchable transcripts	Post-call automation and sales analytics	Catching up the instant your name is called
Price	Free tier with limited minutes; paid plans (check current pricing)	Free tier; per-seat paid plans (check current pricing)	Free for 5 meetings/month; Pro $15/month

Two rows carry most of the decision between Otter and Fireflies: “Built around” and “Integrations”. Two rows carry the decision between either of them and something else: “Live summary during the meeting?” and “Bot in the participant list?”. On those, Otter and Fireflies give the same answer.

If the bot or the timing is the real problem

Canary is a real-time, bot-free meeting summarizer. It captures your computer’s system audio (no bot in the call, no plugin) and shows a live, multi-resolution rolling summary — from what’s being said right now to the whole call — so you can catch up the instant your name is called.

In practice it’s a small always-on-top panel beside the call. You switch between what’s being said now, the last 2 minutes, the last 5 minutes, and the full call. When someone asks “what do you think?”, you glance at it, widen the window if you need more of the thread, and answer. The rolling summary rewrites itself as the conversation moves, and the multi-resolution view is what makes a glance enough. What did I miss in the meeting? is the reason the panel exists. Nothing joins the participant list, so it works the same on a call you host and on one a client hosts. It runs on macOS, Windows, and Linux, is free for 5 meetings a month, and Pro is $15/month.

What it isn’t, to keep this honest:

• It isn’t Otter’s archive. Canary isn’t built around the verbatim record and has no team-wide transcript search. If going back to the exact words is the job, Otter does it better.
• It isn’t Fireflies’ pipeline. There’s no CRM sync, no sales analytics, and no integrations sending notes into your team’s tools. If that’s the job, Fireflies does it better.
• It can’t go to meetings for you. It hears what your computer plays, so it only covers meetings you’re in, from the moment you join. A bot admitted at minute one has the first ten minutes. A tool that arrived with you doesn’t.
• It doesn’t see the participant list. A bot can label speakers from the meeting’s roster. A tool listening to your machine’s audio has no roster to read.

You can run both. Otter or Fireflies for the record plus Canary for the live moment is a reasonable pairing. Just be clear about what it solves: you still have a bot in the room, so it fixes the timing problem, not the bot problem.

How to choose

• You want to follow the words live and search verbatim transcripts later. Otter.
• You want notes routed into your CRM and team tools, and analytics across a sales team. Fireflies.
• You record in-person conversations on your phone. Both have mobile apps that record through the microphone. Recording on a phone has been part of Otter’s pitch the longest. AI meeting notes on your phone covers what a phone can and can’t hear.
• You need notes from meetings you won’t attend. Either one. Attending without you is a bot’s real advantage.
• You’re mostly a guest on other companies’ calls. Neither bot gets in unless the host lets it. A tool on your own machine doesn’t need admitting: Granola for a bot-free document after the call, Canary for a live summary during it.
• You need to know what’s being said right now, without a bot. Canary. The best real-time meeting summarizer ranking covers the wider live field. If you’re leaving either tool, the Otter alternatives and Fireflies alternatives roundups cover the rest.

A note on disclosure

Both bots announce themselves. A named notetaker in the participant list is a form of disclosure, whether or not you’d have put it that way. A bot-free tool is silent by design, which moves the disclosure to you. Removing the bot removes the participant, not the courtesy. How to tell participants you’re using an AI notetaker has one-line versions you can use. Is it legal to record a meeting? covers why consent rules differ by region (one-party vs two-party consent), and why the safe default is to say it every time.

Both vendors ship quickly. Features, plan names, and prices change between releases, so the details above are hedged; check each vendor’s current pages before you commit. At the time of writing, bot-based capture and after-the-call summaries are the default for both. If either one changes that, the grid above changes with it.