Otter.ai vs Fireflies.ai in 2026: Which Meeting Transcription Tool Wins

If you sit through five meetings a day, you already know the problem. Notes get rushed, action items get lost, and nobody remembers exactly what the client agreed to. Otter.ai and Fireflies.ai both solve that problem by recording meetings, turning speech into text, and producing summaries you can search later. The question is not whether either tool works. The question is which one fits the way you actually work.

The short answer is that Otter.ai is the stronger pick for a solo professional who wants live captions and a clean transcript during the call, while Fireflies.ai is the stronger pick for a sales team or a growing team that needs broad CRM sync, conversation intelligence, and a large searchable archive. Price alone does not settle it, because the two tools count usage in different ways. Otter.ai limits transcription minutes on its lower plans. Fireflies.ai gives unlimited transcription on paid plans but limits storage and AI credits. Read the limits before you read the price tag.

This guide uses prices and limits reported in October 2026 from pricing guides that checked the official pricing pages that month. Prices change, and both vendors run promotions, so treat the figures here as a snapshot and confirm the current page before you pay for a full year. Where sources disagreed, this guide says so plainly instead of picking the friendlier number. That matters, because the wrong plan can cost a ten person team hundreds of dollars a year for features it never uses, or leave a solo user stuck at a minute cap in the middle of a busy week.

Pricing at a glance in 2026

Otter.ai and Fireflies.ai both offer a free plan and three paid tiers, but the paid tiers are priced very differently. Otter.ai Pro costs 16.99 dollars per user per month billed monthly, or 8.33 dollars per user per month billed yearly. Otter.ai Business costs 30 dollars per user per month billed monthly, or 19.99 dollars per user per month billed yearly. Otter.ai Enterprise is custom priced and is not publicly listed, so a team that needs it has to talk to sales.

Fireflies.ai Pro costs 18 dollars per seat per month billed monthly, or 10 dollars per seat per month billed yearly. Fireflies.ai Business costs 29 dollars per seat per month billed monthly, or 19 dollars per seat per month billed yearly. Fireflies.ai Enterprise costs 39 dollars per seat per month on yearly billing only, with no monthly billing option reported. That published Enterprise price is one of the clearest differences between the two tools, because Otter.ai hides its Enterprise price while Fireflies.ai puts a number on it.

On yearly billing, the headline gap is small at the Pro level and at the Business level. Otter.ai Pro at 8.33 dollars beats Fireflies.ai Pro at 10 dollars by 1.67 dollars per seat per month. At Business, Otter.ai at 19.99 dollars and Fireflies.ai at 19 dollars are almost identical. The real cost gap shows up in what those plans allow. Otter.ai Pro caps you at 1200 transcription minutes a month and 90 minutes per meeting. Fireflies.ai Pro gives unlimited transcription but caps storage at 8000 minutes per seat. A team that talks a lot will hit one of those walls first, and which wall it hits decides which tool is cheaper in practice.

Monthly billing punishes both tools, but it punishes Fireflies.ai Pro more in percentage terms. Fireflies.ai Pro jumps from 10 dollars to 18 dollars when you pay month to month, an 80 percent increase. Otter.ai Pro jumps from 8.33 dollars to 16.99 dollars, roughly double. If you are testing a tool, pay monthly for one month even though it costs more. If you are sure, yearly billing saves real money, but only after you have tested the tool on your own calls.

What each tool actually does

Otter.ai started as a transcription product and still feels like one. Its core strength is live transcription. You open a meeting, Otter.ai shows words on screen as people speak, and you can highlight, comment, and search while the call is still going. The OtterPilot bot can join scheduled Zoom, Google Meet, and Microsoft Teams meetings from your calendar, so you do not have to remember to press record. After the call, Otter.ai produces a summary, action items, and a chat tool called Otter AI Chat that lets you ask questions about the meeting.

Fireflies.ai started as a meeting recorder and has grown into a conversation intelligence product. Its bot, often called Fred, joins meetings from your calendar, records the call, and processes the transcript after the meeting ends. You get a structured summary with topics, decisions, and action items, plus a tool called AskFred that answers questions across your whole meeting archive. Business plans add conversation intelligence features such as talk time, sentiment, and topic tracking, which are built for managers who review many calls.

The practical difference is timing. Otter.ai helps you during the meeting, with live captions and live highlights. Fireflies.ai helps you after the meeting, with a searchable archive, CRM sync, and analysis across many calls. If you take notes live, join calls where you need to follow along in text, or work in noisy settings where captions help, Otter.ai has the edge during the call. If you review calls later, coach a sales team, or need to find one quote from a call three months ago, Fireflies.ai has the edge after the call.

Both tools also record in person meetings through mobile apps, and both let you upload audio or video files for transcription, though the import limits differ sharply. Otter.ai Basic allows only three file imports for the life of the account, and Pro allows ten imports per month. Business removes that cap. Fireflies.ai supports file uploads on paid plans, and its storage cap, not an import count, is the limit to watch. If your work involves recorded interviews, podcasts, or old call recordings, check the import and storage rules before you commit, because a low import cap can block a whole project.

Transcription accuracy and speaker identification

Neither tool publishes a single accuracy number you can trust at face value, and any vendor claim should be read with care. Fireflies.ai claims up to 99 percent accuracy for English and 95 percent for other languages on its own pages. Independent reviews put both tools lower in real conditions, usually in the 85 to 95 percent range for clear English speech with good audio, and lower when speakers overlap, accents are strong, or background noise is present. Otter.ai reviews commonly cite around 85 percent accuracy for clear English in typical business meetings, with better results on clean single speaker audio and worse results on overlapping speech and heavy jargon.

The honest way to read those numbers is this. Both tools are good enough to replace manual notes for most business meetings, and neither tool is good enough to trust word for word for legal, medical, or contract language without a human check. A transcript that is 90 percent accurate still has one wrong word in ten. That is fine when you need the gist of a decision and the owner of an action item. It is not fine when a single number, date, or name decides a deal. Plan to skim the transcript for any meeting where precision matters, no matter which tool you pick.

Speaker identification is where both tools show their limits in the same way. Both label speakers by name when they can match a voice to a participant, and both fall back to generic labels such as Speaker 1 when they cannot. Overlapping speech is the main cause of errors. When two people talk at once, the tool has to guess who said what, and it often guesses wrong. Otter.ai lets you correct speaker names after a meeting and train voice profiles over time, which helps for a stable team. Fireflies.ai also labels speakers, and reviews note the same weakness with overlapping speech.

A useful test costs you nothing but an hour. Run both tools on five of your own recorded calls, including one noisy call, one call with four or more speakers, and one call with the jargon your team actually uses. Score them on names, numbers, and action items, not on how pretty the summary looks. The tool that gets your names and numbers right on your calls is the tool to buy, even if a review site ranked the other one higher. Your audio, your accents, and your vocabulary decide accuracy more than any marketing page does.

Languages supported

Fireflies.ai wins on languages by a wide margin, and this is not a close call. Fireflies.ai supports more than 100 languages, with automatic language detection, so a team that sells or hires across countries can use one tool for most calls. Business plans add a multi language mode for calls that switch language partway through. That matters for international teams, for recruiters who interview in several languages, and for any company with customers outside one English speaking market.

Otter.ai supports a much smaller set. Recent guides list English in US and UK forms, Spanish, French, German, and Chinese in simplified form, plus Japanese in some listings, with German and Chinese described as beta in setup guides. Other reviews simplify the list to English, Spanish, and French only. The safe reading is that Otter.ai covers a handful of major languages well, and does not cover the long tail at all. It also transcribes only one language per conversation, so a call that mixes two languages will not be handled cleanly.

If your whole team works in English, this gap may not matter. Otter.ai in English is a strong product, and you should not pay for 100 languages you will never use. If even a quarter of your calls happen in another language, Fireflies.ai is the only sensible pick of the two. Do not buy Otter.ai hoping language support will expand soon, because the vendor has not promised a date for broad expansion that this guide could verify. Buy for the languages you need today.

One more detail deserves attention. Fireflies.ai claims 95 percent accuracy for languages other than English, but independent reviews are more cautious, especially for accented speech and for languages with less training data. Test a call in each language you actually use before you roll the tool out to a whole team. A tool that claims 100 languages but mangles your second language is worse than a tool that honestly supports five languages well.

Bot behavior in Zoom, Meet, and Teams

Both tools join Zoom, Google Meet, and Microsoft Teams as a visible participant, and both can be set to join automatically from your calendar. That visible bot is the single most common complaint about both products, and it deserves a frank discussion. In a large internal meeting, nobody cares that a bot is present. In a sensitive one to one call with a new prospect, a bot named OtterPilot or Fred can change the tone of the conversation before you say a word.

Otter.ai joins through OtterPilot, which connects to Google or Microsoft calendars and joins scheduled meetings on its own. You can also add a meeting link manually for unscheduled calls. Fireflies.ai works the same way, joining from calendar events, or when you invite fred at fireflies.ai to a meeting, or when you paste a live meeting link into the dashboard. Both tools send a recap after the call, which is convenient, but Otter.ai has drawn user complaints about transcripts being shared with attendees automatically. Check the sharing settings before your first real call, and turn off any auto sharing you do not want.

Both tools also offer a way to record without a visible bot, but the options are not equal. Fireflies.ai offers a desktop app that captures system audio without joining as a participant, which also covers calls outside the main platforms. Otter.ai offers bot free recording through its desktop app on Mac and Windows as well, so a solo user who records from their own machine can avoid the bot problem. The catch is consent and policy. Recording without a visible participant still requires you to tell people you are recording, and in some places the law requires consent from all parties. A hidden recording method does not remove the need to announce the recording.

For client facing calls, set a simple rule and stick to it. Announce the recording at the start of every call, in one sentence, and say what the recording is for. Tell the prospect the notes help you follow up accurately and that they can ask you to stop recording at any time. Most prospects accept that without a problem when you say it plainly. The awkwardness comes when a bot appears without warning and the prospect has to ask what it is. You control that moment by announcing the bot first.

Free plans and the limits that actually bite

Otter.ai Basic is free, but it is best treated as a short trial, not a working plan. It gives 300 transcription minutes a month, caps each conversation at 30 minutes, allows only three file imports for the life of the account, and keeps only your 25 most recent conversations in history. AI Chat is limited to 20 questions a month. A single one hour meeting already breaks the 30 minute per conversation cap, so a regular user will outgrow Basic in the first week.

Fireflies.ai Free is more generous in one way and tighter in another. It gives unlimited transcription, so you are not counting minutes, but it caps storage, and that cap is where teams get stuck. Recent pricing guides checked in October 2026 report 400 minutes of storage per team on the free plan, while some Fireflies.ai pages describe 800 minutes of storage per seat. That disagreement is worth noting, because the difference decides whether a small team can use the free plan for a month or for a week. The safe plan is to assume the tighter limit, 400 minutes per team, and treat anything more as a bonus.

Fireflies.ai Free also limits AI summaries and AI credits, with 20 one time AI credits reported on the free plan, and caps recordings at two hours. Pro raises storage to 8000 minutes per seat and adds unlimited AI summaries. Business removes the storage cap entirely. The pattern is clear. Fireflies.ai wants you to test transcription for free, then pay when your archive grows. Otter.ai wants you to test live transcription for free, then pay when your meeting volume grows. Pick the free plan that matches the limit you are least likely to hit during your test.

Do not build a business workflow on either free plan. Free plans change, storage caps fill up, and a tool that deletes or hides old meetings when you hit a cap can cost you a record you needed. Use the free plan for a two week test with real calls, then move to a paid plan if the tool earns its keep. The cost of Pro on either tool is less than one lost client or one missed follow up, and that is the right way to judge the price.

Real costs at real team sizes

Headline prices hide the real bill, so here are the numbers for a solo user, a five person team, a ten person team, and a twenty five person team, all on yearly billing at list prices. A solo user pays 8.33 dollars a month on Otter.ai Pro, or about 100 dollars a year, and 10 dollars a month on Fireflies.ai Pro, or 120 dollars a year. The gap is 20 dollars a year, which is small enough that features should decide the pick, not price.

A five person team pays about 500 dollars a year on Otter.ai Pro and 600 dollars a year on Fireflies.ai Pro. On Business, the same five person team pays about 1200 dollars a year on Otter.ai and 1140 dollars a year on Fireflies.ai. At five seats, the two tools are within 60 dollars a year of each other on either tier, so again the limits matter more than the price. The five person team on Otter.ai Pro shares a cap of 1200 minutes per user per month, while the five person team on Fireflies.ai Pro shares 8000 minutes of storage per seat. A team that meets daily will feel the Otter.ai minute cap first. A team that archives everything will feel the Fireflies.ai storage cap first.

A ten person team pays about 1000 dollars a year on Otter.ai Pro and 1200 dollars a year on Fireflies.ai Pro. On Business, the ten person team pays about 2399 dollars a year on Otter.ai and 2280 dollars a year on Fireflies.ai. On Fireflies.ai Enterprise, the same ten person team pays 4680 dollars a year, because Enterprise is 39 dollars per seat per month on yearly billing. Otter.ai Enterprise has no public price, so a ten person team that needs Otter.ai Enterprise cannot budget it from a web page and must request a quote.

A twenty five person team is where Otter.ai plan ceilings start to matter. Otter.ai Pro is reported to top out at five billed users and Business at 25 billed users, which pushes larger teams toward Enterprise. Fireflies.ai has no such low ceiling reported at Business, and its Enterprise price scales in a straight line at 39 dollars per seat per month. A twenty five person team on Fireflies.ai Business pays 5700 dollars a year, while the same team on Fireflies.ai Enterprise pays 11700 dollars a year. Those are the numbers to put in a budget request, not the per seat headline. Always add AI credits to the Fireflies.ai budget if your team uses AskFred heavily, because credit packs start at 5 dollars for 50 credits and rise from there, and heavy use can add a second line item that the headline price does not show.

Search, summaries, and AI chat

Both tools turn a pile of meetings into something you can search, but they do it with different strengths. Otter.ai search covers transcripts, highlights, and action items, and Otter AI Chat lets you ask questions about a meeting and get answers tied to the transcript. Otter.ai also offers channels and shared folders, which suit a team that collaborates on notes in the tool itself. The limit to know is that Otter.ai AI Chat questions are capped by plan, with 20 questions a month on Basic, 50 on Pro, and 200 on Business, according to recent guides. A heavy user who interrogates every meeting will hit the Pro cap.

Fireflies.ai search is built for scale. You can search by keyword across your whole archive, filter by speaker, topic, or sentiment, and ask AskFred questions that return answers with links back to the exact moment in the transcript. That citation back to the moment is genuinely useful, because it lets you verify an answer instead of trusting a summary. Fireflies.ai also offers topic trackers that alert you when a competitor or keyword comes up in a call, which is a sales feature Otter.ai does not match at the same tier.

Summary quality is harder to compare, because both tools produce good summaries for straightforward meetings and weaker summaries for messy ones. A structured status meeting with clear decisions produces a clean summary on either tool. A brainstorm with six people talking over each other, changing topics, and joking produces a summary that needs a human edit on either tool. Do not judge a tool by its best summary. Judge it by its worst summary on your messiest call, because that is the summary you will have to fix.

One Otter.ai weakness deserves a direct mention. Reviews note that once an Otter.ai summary is generated, it cannot simply be refreshed after you correct speaker names or fix the transcript. You have to generate a new summary from scratch. That is a small annoyance for one meeting and a real time cost across fifty meetings. Fireflies.ai summaries can be shaped with custom prompts and AI Skills, which gives a team more control over format, though that control also means someone has to set the prompts up well in the first place.

Integrations with Slack, Notion, and CRM tools

Fireflies.ai has the broader integration catalog, with more than 100 integrations reported, against more than 30 for Otter.ai. Both connect to Salesforce and HubSpot, both send summaries to Slack, and both work with the main meeting platforms. The gap is not whether your core tools connect. The gap is how much automation you get once they connect, and which plan gives access to it.

Otter.ai connects to Salesforce, HubSpot, and Zapier from the Pro plan, with CRM sync for one user on Pro and five users on Business, according to recent guides. Business adds deeper CRM sync, and Enterprise adds custom Salesforce field mapping, BANT and MEDDIC signal extraction, and live coaching for sales teams. Otter.ai also connects to Slack, Notion, Dropbox, Google Drive, and Jira across paid tiers. For a team that mainly needs meeting notes to land in Slack or in a doc, Otter.ai Pro is enough.

Fireflies.ai connects to Salesforce, HubSpot, Slack, Notion, Asana, and many other tools, with CRM sync from Pro and integration rules from Business. Business adds conversation intelligence and team analytics, plus API access. Enterprise adds the full security set. Fireflies.ai AI Skills can automate follow up emails, scorecards, and CRM field fills after sales calls, which is the feature that makes Fireflies.ai attractive to a sales manager. If auto logging calls to a CRM and automating follow up is the whole reason you are buying, Fireflies.ai has the edge.

Notion deserves a specific note, because many small teams live in Notion. Both tools can send notes toward Notion, but neither tool replaces a proper Notion workflow on its own. You will still need to decide which meetings deserve a Notion page, who owns that page, and how often old pages get archived. A tool that dumps every meeting into Notion creates noise, not knowledge. Set a rule that only client meetings and decision meetings go to Notion, and let internal standups stay in the meeting tool archive.

Security, privacy, and data retention

Security is a gate, not a feature to compare loosely, and both tools can pass a standard review at their top tiers. Fireflies.ai holds SOC 2 Type II and supports GDPR on all plans, with HIPAA, single sign on, and custom data retention on Enterprise. Fireflies.ai also states that it does not use meeting audio, transcripts, or summaries to train AI models. That statement matters if your clients ask how their calls are used.

Otter.ai holds SOC 2 Type II and announced HIPAA compliance in July 2025 for Enterprise customers with a signed agreement, according to recent comparison guides. Otter.ai single sign on and SCIM provisioning sit on Enterprise, with some guides placing single sign on on Business as well. HIPAA on Otter.ai is described as an add on for Enterprise, while Fireflies.ai bundles HIPAA into Enterprise pricing. If healthcare compliance is a hard requirement, budget for the Otter.ai add on conversation and get the current certification list in writing from either vendor before you sign.

Otter.ai also carries a privacy risk that Fireflies.ai does not carry in the same form. Recent guides report privacy lawsuits filed in 2025 claiming that the Otter.ai bot recorded meeting participants without proper consent and used recordings to train AI models, with cases consolidated in a California federal court. Otter.ai denies the claims and the case continues. This guide cannot settle a court case, but a buyer recording prospects should know the dispute exists, because it affects how prospects may react to the Otter.ai bot and how a legal team may view the tool.

Data retention is the practical question most teams forget to ask. Fireflies.ai offers custom data retention on Enterprise, so a company with a retention policy can set it. Otter.ai offers custom data retention on Enterprise as well. On lower plans, retention is governed by storage caps and history limits, not by a policy you set. If your company must delete recordings after 90 days, or must keep them for a year, confirm that the plan you buy lets you enforce that rule. Do not assume a low plan gives you retention controls, because it usually does not.

Side by side comparison

The table below puts the main differences in one place. Prices are list prices reported in October 2026 on yearly billing unless stated otherwise. Limits are the ones most likely to affect a buying decision. Use the table to shortlist, then test both tools on your own calls before you pay.

Verdict by use case

For a solo professional, pick Otter.ai Pro if your work is mostly in English and you want live captions during calls. A consultant, coach, journalist, or freelancer who takes notes live will use Otter.ai every day, and the 1200 minute cap is enough for a solo calendar that is not packed with back to back calls all month. If your solo work involves many languages, pick Fireflies.ai instead, because Otter.ai language limits will block you sooner than any minute cap will.

For a small team of two to ten people, pick Fireflies.ai Business if the team shares notes, reviews calls, or syncs to a CRM. Unlimited storage on Business removes the archive worry, and conversation intelligence gives managers a view across the team. Pick Otter.ai Business instead if the team meets mostly in English, values live captions, and wants unlimited meetings without worrying about transcription minutes. At ten seats the yearly gap between the two Business plans is only about 119 dollars, so let the workflow decide, not the price.

For a sales team, pick Fireflies.ai Business or Enterprise. Sales work lives or dies on follow up, CRM accuracy, and coaching, and Fireflies.ai is built for exactly that loop. Topic trackers, talk time, sentiment, and AI Skills turn calls into pipeline notes without manual logging. Otter.ai Enterprise can match much of this with custom field mapping and live coaching, but it costs a custom quote to get there, and the sales features sit behind the highest tier. A sales team that needs those features on day one will move faster on Fireflies.ai.

For an enterprise or regulated team, run a security review on both tools before you pick, and do not shortlist on price alone. Fireflies.ai Enterprise gives a published price, a clear security bundle, and custom retention, which makes procurement simpler. Otter.ai Enterprise can clear the same bar with a signed agreement, but the HIPAA add on and the custom price mean the procurement conversation takes longer. If your legal team already has concerns about recording consent, Fireflies.ai is the lower risk choice today, because it does not carry the same public privacy dispute that Otter.ai does.

For a team on a tight budget that only needs basic transcription, start with Fireflies.ai Free for a test, because unlimited transcription lets you judge quality without counting minutes. Move to Fireflies.ai Pro at 10 dollars per seat per month if the test works and storage is the only limit. Start with Otter.ai Basic only if you need live captions and your test calls are short, because the 30 minute cap will end most real tests early. Either way, test for two weeks, then pay for the plan that fits the limit you actually hit.

How to test both tools before you pay

A proper test takes two weeks and five real calls on each tool, not one demo call. Connect each tool to your calendar, let it join the same kinds of meetings you actually attend, and compare the transcripts side by side. Score each transcript on speaker names, numbers, dates, and action items. A tool that looks good on a clean demo call can fail on a noisy call with four speakers, and that noisy call is the one that matters.

Test the bot announcement too. Join a call with a colleague, let the bot join, and ask your colleague how it felt. Did the bot name make sense. Did the announcement feel awkward. Did the prospect need an explanation. That reaction tells you more than a feature list does, because your clients will have the same reaction. If the bot feels awkward in a test, it will feel awkward in a sales call, and you need a script for it before you roll the tool out.

Test the export and the CRM sync on day one, not on day thirty. Send a test meeting to Slack, to Notion, and to your CRM, and check that the right fields filled in and the right people got the note. A tool that transcribes well but syncs badly will create manual work every day, and that manual work is exactly what you bought the tool to remove. If the sync needs Business to work properly, budget for Business from the start instead of discovering the gap after you bought Pro.

Test the archive on day fourteen. Search for a quote from your first test call, find an action item from a call last week, and ask the AI chat a question about a decision you made. The tool that finds the answer fast, with a link back to the moment it was said, is the tool you will still use in six months. A tool that makes you scroll through a long transcript to find one sentence will be abandoned, no matter how good its first summary looked.

Mistakes to avoid when you choose

The first mistake is buying on headline price alone. A tool that costs 8.33 dollars a month but caps you at 1200 minutes is not cheaper than a tool that costs 10 dollars a month with unlimited transcription, if you actually need 2000 minutes. Count your meeting minutes for a normal month before you buy. Add up your calendar for the last four weeks, include internal meetings you might skip, and buy for the busy month, not the quiet month.

The second mistake is ignoring the storage and credit limits on Fireflies.ai. Unlimited transcription sounds like unlimited everything, but it is not. Storage caps and AI credits are the real limits, and a team that uses AskFred every day can burn through credits faster than expected. Ask the vendor how credits refill, what happens when they run out, and what a typical heavy user spends on credit packs in a month. Put that answer in writing before you commit a team.

The third mistake is rolling a bot out to clients without a script. Clients notice a bot, clients ask about recording, and clients in some places have legal rights around consent. Write a one sentence announcement, train the team to use it, and set the sharing settings so transcripts do not go to people who should not see them. A tool is only as professional as the way your team introduces it.

The fourth mistake is buying Enterprise features on a Pro budget. CRM field mapping, live coaching, custom retention, and single sign on sit on the top tiers for a reason. If your team needs those features, budget for Business or Enterprise from the start. Buying Pro and then complaining that it lacks Enterprise features wastes a month and a budget cycle. Read the plan table, match your must have features to a tier, and buy that tier.

Final verdict

Otter.ai wins for live transcription and for the solo professional who works in English and wants captions during the call. Fireflies.ai wins for teams, for sales, for international work, and for anyone who needs a deep searchable archive with strong CRM automation. There is no single winner, because the two tools are built for different moments in the meeting lifecycle. Otter.ai shines during the call. Fireflies.ai shines after the call.

If you must pick one today without a test, pick Fireflies.ai Business for a team and Otter.ai Pro for a solo English speaking professional. That default fits most buyers, but it is still a default, not a substitute for a test. Run both tools for two weeks, score them on your own calls, and let your own meetings decide. The right tool is the one your team actually opens every day, not the one with the best marketing page.