Fireflies.ai Review 2026: Is It the Best AI Meeting Assistant?

Fireflies.ai is an AI meeting assistant that joins your video calls, records them, transcribes the speech, and turns the conversation into notes you can search later. It works with Zoom, Google Meet, Microsoft Teams and more than ten other platforms, and it also records from a Chrome extension, a desktop app, a mobile app, and uploaded audio or video files. The company started in 2018, and its pricing page now says more than one million companies use it, which puts it among the largest tools in this category.

The idea is simple, and it solves a real problem. Most meetings end with nobody quite sure what was agreed, who promised what, or where the recording went. Fireflies.ai fixes that by making every call searchable. You can ask what a client said about pricing three weeks ago, find the exact minute a decision was made, and send a summary to someone who missed the call. That is the whole pitch, and for teams that live on calls, it is a strong one.

This review gives you the full picture with prices checked on November 10, 2026. You will see every plan and what each one really includes, how the meeting bot works in practice, how accurate the transcripts are and where they fall short, what AskFred can and cannot answer, how the CRM and Slack integrations fit into a sales workflow, and how Fireflies.ai stacks up against Otter.ai. Search data from DataForSEO for November 10, 2026 shows about 140 people a month in the US search for a Fireflies.ai review, with medium competition and a cost per click of $29.79, which is a very high value and tells you this is a tool buyers research carefully before they pay.

The short answer

Yes, Fireflies.ai is the best AI meeting assistant for most teams in 2026, and the free plan is the main reason. It costs $0, gives you unlimited transcription, and lets you test the bot, the summaries and the search on real meetings before you spend anything. No other meeting assistant gives you this much for free, and for a solo worker or a small team, the free plan may be all you ever need.

No, it is not the best choice for everyone. The bot joins your calls as a visible participant named Fred, and some clients and colleagues dislike that. The summaries on the free plan are limited, the free storage cap is only 400 minutes per team, and the AI credits that pay for AskFred and the deeper AI features are a small shared pool that does not grow when you add seats. If your meetings are sensitive, or your team runs dozens of calls a week, those limits will push you toward a paid plan faster than the headline prices suggest.

Pro at $10 a seat a month on annual billing, or $18 a month if you pay monthly, is the right plan for most people who decide to pay. It adds unlimited AI summaries, 8,000 minutes of storage per seat, video recording, downloads, and the action items and task manager. A solo consultant or a small team that records ten to twenty calls a month will find Pro covers them with room to spare.

Business at $19 a seat a month on annual billing, or $29 a month if you pay monthly, is the plan for sales and customer success teams. It adds unlimited storage, conversation intelligence, team analytics for admins, multi-language mode, and user groups. If you manage a sales team and you want to see talk time, sentiment and topic trends across every call, Business is where that data lives. If you do not manage a team, Business buys you very little that Pro does not already give you.

Start free, record five real meetings, and read the summaries before you pay. Check whether the bot annoys anyone on your calls, whether the transcripts handle your accents and your jargon, and whether you actually open the summaries afterward. If the free plan carries you through two weeks without hitting the 400 minute storage cap or the summary limits, stay free. If you hit either limit twice in one week, that is the moment to pay for Pro.

What Fireflies.ai actually is

Fireflies.ai is a meeting assistant built around one job: capture what was said in a call and make it useful afterward. A bot called Fred joins your scheduled meetings from your calendar, records the audio and video, and produces a transcript with speaker labels, a structured summary, and a list of action items. The transcript is searchable, so you can find a single sentence from a call months ago without listening to the recording again.

The product started in 2018 as a note taker, and it has grown into a wider platform since then. The current version adds an AI assistant called AskFred that answers questions about your meetings, AI Skills that run role-specific analysis such as sales qualification or interview scorecards, conversation intelligence that tracks talk time and sentiment, and a set of integrations that push meeting data into CRMs, Slack, Notion and project tools. It is no longer just a recorder. It is a meeting database with a chat interface on top.

The core loop runs like this. You connect your calendar, and Fred joins the meetings you choose. Minutes after the call ends, the transcript, the summary and the action items land in your Fireflies.ai workspace and in your email inbox. You skim the summary, fix any names the transcript got wrong, and share the notes with anyone who missed the call. The next time a question comes up about that meeting, you search for it instead of asking a colleague to remember.

Fireflies.ai works on Zoom, Google Meet, Microsoft Teams and more than ten other platforms, and it also records through a Chrome extension, a desktop app and mobile apps for Android and iOS. You can upload audio and video files to transcribe them after the fact, which covers phone calls, recorded interviews and old meeting files sitting on a hard drive. That range matters, because most teams do not live on one platform, and a tool that only works on Zoom leaves half your calls uncovered.

The people who get the most from Fireflies.ai are sales teams, recruiters, product managers, founders, consultants and anyone who spends their day in back to back calls. Sales teams use it to log calls to a CRM without typing notes. Recruiters use it to score interviews and share them with hiring managers. Founders use it to keep a record of every investor and customer call. If your work is mostly written and you take two calls a week, Fireflies.ai will feel like a nice extra. If your work is mostly calls, it becomes part of how you work.

Fireflies.ai pricing in 2026

Fireflies.ai pricing in 2026 has four tiers on its official pricing page, checked November 10, 2026: Free at $0, Pro at $10 a seat a month billed annually or $18 a month billed monthly, Business at $19 a seat a month billed annually or $29 a month billed monthly, and Enterprise at $39 a seat a month, annual billing only. Every paid price is per seat, so a team pays for each person on the plan. Annual billing saves up to 44 percent against monthly billing on Pro, which is one of the biggest annual discounts in this category, and it is worth doing the maths before you pick a billing term.

Free costs $0 and gives you unlimited transcription, limited AI summaries, 400 minutes of storage per team, and 20 AI credits. It also includes transcription in more than 100 languages, real time notes and live transcription, meeting search, AskFred, audio and video file uploads, the desktop and mobile apps, the Chrome extension, and API access. That is a very full free plan, and the only hard wall most people hit is the 400 minute storage cap, which is shared across the whole team, not per person.

Pro costs $10 a seat a month billed annually, or $18 a month billed monthly, and it is the plan most buyers should judge first. It adds unlimited AI summaries, 8,000 minutes of storage per seat, video recording, transcript and recording downloads, the Personal Assistant and Email Assistant, AI Skills, Voice Agents, action items and a task manager, and unlimited integrations. The storage jump from 400 minutes per team to 8,000 minutes per seat is the biggest single change, and it is what makes Pro feel like a different product from Free.

Business costs $19 a seat a month billed annually, or $29 a month billed monthly, and it adds unlimited storage, 30 AI credits, multi-language mode, conversation intelligence, team analytics for admins, public meeting access, and user groups. The conversation intelligence tools are the reason to pick Business: speaker talk time, sentiment analysis, topic trackers and question detection across every call your team makes. Without a team to manage, those tools have little to analyse, so Business is a team plan first and a personal plan second.

Enterprise costs $39 a seat a month and is annual billing only, with contact sales for procurement details. It adds 50 AI credits, a rules engine, SSO and SCIM, audit logs, HIPAA-ready support with a business associate agreement, private storage, custom data retention, a transcript and summary only mode, a super admin role, and a dedicated account manager. One point of conflict in the sources: some independent pricing roundups list Enterprise at $49 a month billed monthly, while the official pricing page shows $39 a seat a month marked annual only. The official page is the anchor here, and you should confirm the Enterprise price with the sales team before you budget for it.

The annual maths is simple and it matters more here than on most tools, because the monthly rates are far higher than the annual ones. Twelve monthly Pro payments cost $216 a seat, while annual billing costs $120 a seat, so annual billing saves $96 a seat a year, about 44 percent. Twelve monthly Business payments cost $348 a seat, while annual billing costs $228 a seat, so annual billing saves $120 a seat a year, about 34 percent. A five person team on Business pays $1,140 a year on annual billing against $1,740 on monthly billing, a $600 difference for the same product. Pay monthly for the first month or two while you test, then switch to annual once you know the plan fits.

Free vs paid: where the limits bite

The free plan is generous in the ways that matter for testing, and tight in the ways that matter for daily use. Unlimited transcription means you can record as many meetings as you like without paying, which is rare in this category, and most rivals cap free transcription by minutes. The limits sit elsewhere: 400 minutes of storage per team, limited AI summaries, and a 20 credit AI pool. You will hit one of those three before you hit any limit on recording.

The 400 minute storage cap is the first wall, and it arrives fast. Four hundred minutes is about six and a half hours of meetings, which a busy team can burn through in two or three days. The cap is per team, not per person, so adding colleagues does not add storage. Once the cap is full, you need to delete old meetings or pay for Pro, and deleting old meetings defeats the point of a searchable meeting archive. A solo worker who takes three or four calls a week can live inside 400 minutes for a month. A team of five cannot.

Limited AI summaries are the second wall, and they are harder to measure because Fireflies.ai does not publish a number for them. The free plan gives you summaries, but not unlimited ones, and the cap is not spelled out on the pricing page. In practice, reviewers who tested the free plan in 2026 found the summaries run out well before the storage does if you record every meeting. Pro removes this limit entirely, which is the cleanest reason to pay: on Pro, every meeting gets a full summary, every time.

The AI credit pool is the third wall, and it is the one most buyers misunderstand. Every plan includes a one time shared credit pool: 20 credits on Free, 20 on Pro, 30 on Business, and 50 on Enterprise. These credits pay for the deeper AI features, such as AskFred queries, custom summary sections, AI Skills, and the Slack assistant, and the pool is shared across the workspace, not per person. That means a ten person team on Pro shares the same 20 credits as a solo user on Pro. Heavy use of AskFred or AI Skills drains the pool, and extra credits are sold in bundles that auto renew monthly unless you pause them.

The honest test is to run the free plan for two weeks on your real meetings and watch which limit you hit first. If you hit the storage cap, Pro fixes it with 8,000 minutes per seat. If you run out of summaries, Pro fixes that too. If you drain the AI credits, no plan fixes it by itself, because Pro ships the same 20 credits as Free, and you will need Business for 30 or a credit bundle on top. Count your meetings, check your storage after week one, and let the numbers tell you which plan to buy.

How the meeting bot works

Fred is the bot that joins your meetings, and it is the heart of Fireflies.ai. You connect your Google or Outlook calendar, pick which meetings Fred should join, and it appears in the participant list a minute or two before the call starts. It records the audio and video, takes live notes during the call, and leaves when the meeting ends. A few minutes later, the transcript, the summary and the action items arrive in your workspace and your inbox.

Auto-join is the feature that makes Fireflies.ai feel different from a manual recorder. You do not need to remember to press record, and you do not need to open an app before each call. Fred joins from your calendar, so a meeting you forgot about still gets recorded. You can set rules for which meetings it joins, such as all meetings, only meetings with outside guests, or only meetings you host, and you can turn it off for a single meeting from the calendar invite. That control matters, because a bot in every single call, including a quick chat with a colleague, gets old fast.

The Chrome extension offers a second way to record without the bot. It captures the meeting from your browser, which keeps Fred out of the participant list, and it suits calls where a visible bot would be awkward or unwelcome. The trade is that you have to start it by hand for each call, so you lose the auto-join safety net. Use the extension for sensitive calls and auto-join for everything else, and you get the best of both.

The bot also records from dialers and phone calls through integrations, and it transcribes uploaded audio and video files after the fact. That covers sales calls made through a dialer, interviews recorded on a phone, and old recordings sitting in a folder. The upload route is slower than a live join, because the file has to process after you upload it, but it means no conversation is out of reach just because it did not happen on Zoom.

There is one habit to build on day one: tell people Fred is joining. The bot introduces itself in the call, and most platforms show a recording notice, but a short line at the start of the meeting, such as Fred takes our notes today, avoids the awkward moment when someone notices a new participant halfway through. It also covers you on consent, which is a legal question in some places, and we cover that in the privacy section below.

Transcription accuracy and language support

Fireflies.ai claims 95 percent transcription accuracy, a figure that appears in its own marketing and in vendor listings. Treat that number as a vendor claim, not a measured test, because no independent lab has published a controlled accuracy test of Fireflies.ai against a fixed test set. What independent reviews do agree on is the pattern: accuracy is strong on clear audio with one speaker at a time, and it falls off with heavy accents, fast crosstalk, background noise and poor microphones.

Speaker identification is one of the stronger parts of the product. Fireflies.ai labels who is speaking through the transcript, and reviewers who tested it on normal team calls found the labels mostly right. The known weakness is fast, multi-speaker calls, where two people talking over each other can confuse the speaker labels and hand an action item to the wrong person. Check the action items after any heated or fast meeting, because that is where a mislabelled speaker does real damage.

Language support is where Fireflies.ai leads the category. It transcribes in more than 100 languages, with automatic language detection, so a call that switches between English and Spanish, or a team spread across three continents, does not need any setup per language. Otter.ai, the closest rival, has historically covered a far smaller set of languages at its core, so if your calls happen in French on Monday and Thai on Tuesday, the difference is not academic. It is the reason to pick Fireflies.ai over Otter.ai for a global team.

Multi-language mode, a Business plan feature, goes one step further and handles meetings where speakers use different languages in the same call. The free and Pro plans cover one language per meeting with auto detection, which is enough for most teams, because most meetings stay in one language even when the team is spread out. Pay for Business for this feature only if your calls genuinely mix languages in the same conversation, which is common in some sales teams and rare everywhere else.

The practical accuracy test takes one meeting. Record your hardest real call on the free plan: the one with the worst audio, the strongest accent, or the most crosstalk. Read the transcript afterward and count the errors in names, numbers and product terms. Then add your product names and client names to the custom vocabulary, which Fireflies.ai lets you set, and record the same kind of call again. If the second transcript reads clean, the tool fits your voice and your meetings. If it still mangles the names that matter, no plan upgrade will fix that, because the transcript engine is the same on every tier.

AI Super Summaries and action items

The AI summary is the part of Fireflies.ai you will actually read, and it is good. After each meeting, Fireflies.ai produces an overview, bullet point recap, key topics, decisions and action items, with each item assigned to a speaker where the tool can tell who promised it. The summary is structured, not a wall of text, so you can skim it in thirty seconds and know what happened. That is the whole point of a meeting summary, and Fireflies.ai gets the shape right.

Super Summaries are the deeper version of this, and they are the feature that turns a transcript into a working document. You can pick a summary template, add custom sections, and ask the tool to pull out specific things such as objections, next steps, or budget mentions. Sales teams use templates for discovery calls, recruiters use them for interviews, and product teams use them for user research. The templates save you from reading the transcript, which is where the time saving really comes from.

Action items are the most useful output and the one to check most carefully. Fireflies.ai detects tasks in the conversation, assigns them to the person who agreed to do them, and puts them in a task manager inside the product. In a normal call with clear handoffs, the items land on the right people. In a fast call where three people talk over each other, the assignment can land on the wrong person, and a task that belongs to you can end up on a colleague. Treat the action items as a draft, not a record, and confirm the owners before you share the summary with a client.

Soundbites are a smaller feature that punches above its weight. You can clip a short section of a call, such as a client saying they love the product or a prospect stating their budget, and share it as a standalone audio clip. Sales teams use soundbites to share proof with a manager, and founders use them to share customer quotes with the team. It is a simple idea, and it is one of the few features in this category that no rival does as cleanly.

The summary habit that works best is boring and fast. Open the summary within an hour of the call, fix any names and numbers, confirm the action items, and share it with everyone who was there. A summary that sits unread for a week is worthless, because the decisions it records have already moved on. The teams that get the most from Fireflies.ai are the ones that treat the summary as the meeting record, not as a backup they might read later.

AskFred: the chat assistant

AskFred is the AI assistant built into Fireflies.ai, and it answers natural language questions about your meetings. You can ask what the client said about pricing, what was decided about the launch date, or what objections came up in the last three sales calls, and AskFred answers with citations back to the source transcript. It works across one meeting or across your whole meeting history, which turns months of calls into a database you can question.

AskFred also reaches beyond meetings once you connect it to your other tools. With email, Slack and CRM connections in place, it can answer questions that span your calls and your written messages, such as what a client said in the last call and what they wrote in the follow up email. That cross-tool search is the feature that makes AskFred more than a transcript search box, because the answer to a real question often sits half in a call and half in an email.

The catch is the credit system. AskFred queries consume AI credits, which come from the small shared pool on your plan: 20 credits on Free and Pro, 30 on Business, 50 on Enterprise. Core transcription and summaries do not consume credits, because they are included in your plan, but AskFred and the deeper AI features do. A team that asks AskFred ten questions a day will drain a 20 credit pool fast, and extra credits cost money in bundles that auto renew monthly unless you pause them. That is the single most common surprise in Fireflies.ai billing, and it is worth knowing before you build a habit around AskFred.

AskFred is also the feature where accuracy matters most, because a wrong answer sounds confident. It cites its sources, so you can click through to the transcript and check the answer, and you should do that whenever the answer affects a decision, a price, or a promise to a client. The citations are the safety net, and a team that checks them will catch the occasional misread before it becomes a mistake. A team that trusts the answer without checking will eventually send a client a number from the wrong call.

Use AskFred for recall, not for judgement. It is very good at finding what was said, when it was said, and who said it. It is less reliable at judging whether a deal is at risk, whether a hire is a good fit, or whether a client is happy, because those calls need context the transcript does not hold. Ask it to find the facts, then make the judgement yourself. That split keeps AskFred useful and keeps you in charge of the decisions.

Conversation intelligence and team analytics

Conversation intelligence is the Business plan feature that turns Fireflies.ai from a note taker into a management tool. It analyses every call your team makes and shows you speaker talk time, sentiment, question detection, topic trackers, and keyword tracking across the whole team. A sales manager can see who talks too much on discovery calls, which objections come up most often, and whether the team follows the script on pricing calls. That visibility is hard to get any other way, because it would take a manager sitting in on every call.

Talk time is the metric most managers check first, and it is the most actionable. A discovery call where the rep talks for 70 percent of the time is a call where the rep learned nothing, and the data makes that visible in a way a gut feeling does not. Sentiment analysis is the second check, because it shows whether a call ended warm or cold, and a team can spot a deal going cold before the prospect goes quiet. Both metrics need a few weeks of calls before the patterns mean anything, so do not judge them on a single meeting.

Topic trackers let you follow a subject across every call, such as a competitor name, a feature request, or a pricing objection. You set the topic, and Fireflies.ai flags every meeting where it comes up, with a link to the exact minute. Product teams use this to count feature requests across customer calls, and sales teams use it to count how often a rival gets mentioned. It is a simple feature, and it replaces a spreadsheet that nobody keeps up to date.

Team analytics sit on top of all this for admins, with dashboards that show call volume, talk time and sentiment across the team, plus coaching views that let a manager review individual reps. AI Skills extend the same idea with role-specific analysis, such as BANT sales qualification, objection handling, interview screening, decision tracking, and customer satisfaction scoring. These are the features that justify the Business price, and they are also the features that need a team of at least five to produce useful data. A team of two will not learn much from a dashboard built for twenty.

There is a management question here that no feature list answers: does your team want their calls analysed? Talk time and sentiment data can feel like surveillance if it arrives without warning, and a team that discovers its calls are being scored will push back. Tell the team what you measure, why you measure it, and what you will not do with it, before you turn on the Business analytics. The teams that get value from conversation intelligence are the ones that use it for coaching, not for policing, and the difference is visible in how the team reacts to it.

Integrations and CRM workflows

Fireflies.ai connects to the tools your team already uses, and the integrations are where the meeting notes stop being a document and start being a workflow. The headline connections are Zoom, Google Meet and Microsoft Teams for recording, plus Slack, Salesforce, HubSpot, Notion, Asana and more than fifty other apps for what happens after the call. The integration list is wide, and it covers the tools most teams actually run, which is not true of every meeting assistant.

The CRM integrations are the ones that save the most time for sales teams. Fireflies.ai can log a call to Salesforce or HubSpot automatically, attach the transcript and the summary to the contact or the deal, and fill in fields such as next steps and deal stage from what was said on the call. A rep who used to spend ten minutes after each call typing notes into a CRM now spends one minute checking the auto-filled record. Across a team making twenty calls a day, that is hours of admin work removed every week.

Slack is the second integration that matters, because it is where the notes land for the rest of the team. Fireflies.ai can post a summary to a Slack channel after each call, send action items to the people who own them, and let anyone ask AskFred from inside Slack. That keeps the meeting record where the team already works, instead of in a separate app they have to remember to open. The Slack assistant also consumes AI credits, so watch the pool if your team asks it questions all day.

Notion and Asana cover the project side. Meeting notes can flow into a Notion page or become tasks in Asana, with the action items from the call turning into assigned work without anyone retyping them. That handoff is where most meeting tools fail, because the notes stay in the meeting app and the work stays in the project app, and nobody bridges the gap. Fireflies.ai bridges it, and the bridge is the difference between a tool you use and a tool you forget.

The API and the workflow tools go further for teams with technical help. The API lets you pull transcripts and summaries into your own systems, build custom automations, and connect Fireflies.ai to tools that have no direct integration. Zapier is on the integration list, which opens the door to hundreds of smaller tools without any code. If your team runs on a CRM or a project tool that Fireflies.ai does not list, check Zapier before you rule the product out, because the connection probably exists one step removed.

Fireflies.ai vs Otter.ai

Otter.ai is the closest rival to Fireflies.ai, and the choice between them comes down to three things: languages, price, and the kind of team you run. Both record meetings, both transcribe them, both produce summaries and action items, and both work on Zoom, Google Meet and Teams. The differences are in the details, and the details decide which one fits your calls.

Languages are the clearest gap. Fireflies.ai transcribes in more than 100 languages with automatic detection, while Otter.ai has historically covered a far smaller set at its core. If your team works in one language, that gap does not matter. If your team works across languages, or your clients do, it is the single biggest reason to pick Fireflies.ai. Our full comparison of the two tools covers this in more depth, and you can read it in the Otter.ai vs Fireflies.ai comparison on PickyAI.

Price is closer than the headline numbers suggest. Otter.ai Pro costs $8.33 a user a month billed annually, or $16.99 billed monthly, against Fireflies.ai Pro at $10 a seat a month billed annually, or $18 monthly. Otter.ai is cheaper on annual billing by $1.67 a seat a month, and Fireflies.ai is cheaper on the storage it gives you, because Otter.ai caps transcription minutes on its lower plans while Fireflies.ai gives you unlimited transcription even on Free. The real price question is not the seat cost, it is the cap that bites first: minutes on Otter.ai, or storage and AI credits on Fireflies.ai.

The product feel is different too. Otter.ai is a cleaner, simpler note taker, with live transcription during the call and a lighter interface that suits individuals and small teams. Fireflies.ai is a deeper platform, with AskFred, conversation intelligence, AI Skills and a much wider integration list, which suits teams that want meeting data flowing into a CRM and a manager who wants analytics across the team. If you want a simple recorder, Otter.ai is the easier tool. If you want a meeting database, Fireflies.ai is the stronger one.

Our wider guides put both tools in context. The best AI transcription software guide at pikyai.com/articles/best-ai-transcription-software-2026 compares Fireflies.ai and Otter.ai with the other transcription tools on the market, the best AI meeting assistant guide at pikyai.com/articles/best-ai-meeting-assistant-2026 ranks them against the full field, and the best AI note taking apps guide at pikyai.com/articles/best-ai-note-taking-apps-2026 covers the note taking side for readers who want more than meeting capture. Read the meeting assistant guide first if you are still choosing a category, and read the Otter.ai vs Fireflies.ai comparison if you have narrowed it to these two.

Privacy, consent and the bot problem

The bot is the biggest objection to Fireflies.ai, and it is a fair one. Fred joins your calls as a visible participant, and everyone on the call can see it. Some clients find it strange, some colleagues find it intrusive, and some companies ban bots from their calls outright. If you sell to large companies or work in a regulated industry, ask your clients before you let Fred into their meetings, because a bot that shows up unannounced can cost you trust faster than any summary can earn it back.

Consent is also a legal question, and it varies by place. Some regions require every person on a call to agree to recording, while others require only one person to agree. Fireflies.ai shows a recording notice, and the bot introduces itself, but that notice is not the same as consent in every jurisdiction. Check the rules where you and your clients sit, tell people at the start of the call that Fred is recording, and keep a record of that notice for important calls. A thirty second warning at the start of a meeting is cheap insurance.

Data handling is the second privacy question, and Fireflies.ai answers it better than most tools in this category. The company holds SOC 2 Type II certification and ISO 42001 certification for AI management, it is GDPR compliant, and it states plainly that it does not use your meeting data to train AI models, with its AI vendors contractually barred from training on it. Customers keep full ownership of their data under the terms of service. Those are strong claims, and they are the right ones to check before you put client calls into any tool.

HIPAA readiness sits on the Enterprise plan, with a business associate agreement available, plus private storage and custom data retention. Healthcare teams should not use the lower plans for patient calls, because the HIPAA support is an Enterprise feature, not a product-wide one. The transcript and summary only mode, also Enterprise, lets a company store the text without the recording, which suits teams that want the notes but not the audio file. If your work touches health data or education records, Enterprise is the only plan to consider.

The practical privacy routine is simple. Use auto-join only for internal meetings and calls where recording is normal, use the Chrome extension or manual upload for sensitive calls, delete recordings you no longer need instead of keeping them forever, and check the data retention settings on your plan. A meeting archive is useful until it becomes a liability, and the teams that treat it as a record with a shelf life sleep better than the teams that keep everything forever.

Who should pay, and who should stay free

Pay for Pro on annual billing if you record ten or more meetings a month and you hit the free storage cap or the summary limits. At $10 a seat a month billed annually, or $120 a seat a year, you get unlimited AI summaries, 8,000 minutes of storage per seat, video recording, downloads, and the action items and task manager. That covers a solo consultant, a founder, or a small team that lives on calls. Pay monthly at $18 for the first month or two while you test, then switch to annual once you know the plan fits, because the $96 a seat a year you save on annual billing is real money.

Pay for Business on annual billing if you manage a sales or customer success team and you want conversation intelligence. At $19 a seat a month billed annually, or $228 a seat a year, you get unlimited storage, 30 AI credits, multi-language mode, team analytics for admins, and user groups. A five person sales team pays $1,140 a year on annual billing, and the talk time, sentiment and topic data it buys is worth that price if the manager actually coaches from it. If nobody on the team will open the analytics dashboard, Business is $9 a seat a month more than Pro for nothing.

Stay on free if you take a handful of calls a week and your meetings are mostly internal. The 400 minute storage cap will carry a solo worker for a month, the unlimited transcription means you never pay per minute, and the limited AI summaries are enough when you only need a recap for a few calls a week. Stay free also if you are still deciding whether a meeting assistant fits your work at all, because the free plan teaches you the whole product before you spend anything. Most people who try Fireflies.ai should spend their first month on free and let the limits tell them whether to pay.

Look at Enterprise only if your company needs SSO and SCIM, audit logs, HIPAA support with a business associate agreement, private storage, or custom data retention. At $39 a seat a month on annual billing only, it is a procurement decision, not a personal one, and the sales team will want to talk before you buy. A small team that picks Enterprise for the 50 AI credits is buying the wrong plan for the wrong reason, because the credits are the smallest part of what Enterprise adds.

Watch the AI credits whatever plan you pick, because they are the one cost that surprises people. Free and Pro both ship 20 credits, Business ships 30, and Enterprise ships 50, and the pool is shared across the workspace. If your team leans on AskFred every day, the pool will drain, and extra credit bundles auto renew monthly unless you pause them. Check the credit balance in week one, count how many AskFred questions the team asks in a day, and budget for a bundle if the maths says the pool will not last the month.

A 7 day test plan before you pay

Day one is for setup and a first call. Connect your calendar, pick which meetings Fred should join, and let it record one real meeting. Read the summary within an hour, check the speaker labels and the action items, and note how long the whole loop took from the end of the call to the summary landing in your inbox. That first meeting tells you more about the tool than any review, because it runs on your calls and your colleagues.

Day two is for accuracy and the bot question. Record your hardest real call, the one with the worst audio or the strongest accent, and read the transcript afterward. Count the errors in names, numbers and product terms, then add those names to the custom vocabulary and record the same kind of call again. Ask the people on the call whether the bot bothered them, because their answer decides whether auto-join survives in your team.

Day three is for AskFred and the credit pool. Ask AskFred five questions about your meetings so far, and check the credit balance before and after. That one check shows you how fast the pool drains on your kind of use, and it tells you whether 20 credits will last your month. If the pool drops fast, plan for a credit bundle or for Business, and do not build a habit around a feature you cannot afford to run.

Day four is for the CRM and Slack workflow. Connect your CRM and your Slack workspace, record a sales or client call, and watch the notes land in the CRM record and the summary post to Slack. Check whether the fields filled correctly, whether the action items reached the right people, and whether anyone on the team actually opened the summary. A workflow nobody opens is a workflow that is not working, whatever the integration list says.

Days five to seven are for the decision. Record every meeting for three days, check your storage after each day, and count how many summaries you used and how many AI credits you spent. Then look at your notes and decide based on real limits, not on the feature list. If you hit the 400 minute storage cap or ran out of summaries, pay for Pro on monthly billing first, and switch to annual once you know it fits. If you never touched the limits, stay free and spend the money somewhere else.

1. Day 1: Connect your calendar, let Fred record one real meeting, and read the summary within an hour.
2. Day 2: Record your hardest call, check the transcript for errors, and ask the people on the call whether the bot bothered them.
3. Day 3: Ask AskFred five questions about your meetings, and check the credit balance before and after.
4. Day 4: Connect your CRM and Slack, record a client call, and watch the notes land in both places.
5. Day 5: Record every meeting, check your storage at the end of the day, and count the summaries you used.
6. Day 6: Test the Chrome extension on a sensitive call, and compare it with auto-join.
7. Day 7: Count how many times a free limit stopped you, and decide based on real blocks.