Fireflies vs Otter AI: Which Note Taker Fits Your Team

A revenue leader runs a bake off. Two weeks with the Fireflies ai note taker on every customer call, two weeks with Otter. At the end she has forty transcripts, two sets of summaries that both read fine, and no idea which one to buy. The transcripts are not the differentiator. Both tools produce a usable record of what was said, and neither publishes an accuracy benchmark you can hold them to.

What actually decides this purchase sits underneath the transcript: which meeting platforms each one can enter, what the free plan silently withholds, who in your organization can delete a recording and how long recordings live before they age out, and what each tool writes back into your CRM or task tracker. Those four dimensions are documented, checkable, and where every stalled evaluation I have seen gets stuck. This comparison sticks to them.

One naming note before we start. Search volume splits between "fireflies ai note taker" and the misspelling "firefly ai notetaker". There is one product, Fireflies.ai, and no separate Firefly notetaker. If you searched the singular, you are in the right place.

What each tool actually is

Fireflies is built around a bot. You connect a calendar, and a participant named Fred joins the meeting, records it, transcribes it, and produces a summary afterward. Everything downstream, the search, the topic trackers, the CRM logging, assumes a bot attended a scheduled video call. The product's center of gravity is the post meeting artifact and what you do with a library of them.

Otter started as a live transcription app. You could open it on a phone, put it on a table, and watch words appear in real time. That heritage still shows: Otter's in app recording for in person conversations is a first class path, not an afterthought, and its live transcript view during a call is the experience the product was designed around. Otter later added OtterPilot, a bot that joins video calls the way Fireflies does, plus a chat layer you can question during and after a meeting.

So the honest one line version of fireflies vs otter: Fireflies is a meeting record system with sales tooling attached, Otter is a transcription product that grew a meeting bot and a chat layer. Both will transcribe your Zoom call. They diverge on everything around it.

Meeting platform coverage: where the fireflies vs otter split starts

Both vendors document bot support for the big three: Zoom, Google Meet, and Microsoft Teams. Fireflies additionally documents Webex support and a dial in path for audio conference lines, which matters more than it sounds if any part of your business still runs on a bridge number or a platform outside the big three. Both accept uploaded audio and video files for transcription after the fact, though the number of uploads you get is metered differently on each free plan.

The dimension people forget is in person coverage. If your team runs client meetings in a room, site visits, or interviews, Otter's mobile and web recording is the more natural fit, because that is the workflow it was built for. Fireflies has a mobile app and file upload, so it can get there, but you are working slightly against the grain.

The other dimension people forget is whether a third party bot is allowed to join at all. Zoom, Teams and Meet all now ship their own native notetakers, and admins on those platforms can restrict external bots or force a recording consent prompt that changes how your calls feel to customers. Before you compare Fireflies and Otter, find out what your own conferencing admin has locked down and what the native tool already gives you. Our Zoom AI Notetaker guide walks through the native setup, its limits, and the point at which teams outgrow it.

A bot is also a social object. It appears in the participant list with a name, which is simultaneously your consent signal and a thing prospects ask about in the first thirty seconds of a call. Some sales teams love that transparency. Some legal teams require it. Some deals get weird because of it. Decide which camp you are in before the pilot, not after.

What the free plan actually gives you

Every comparison of the best ai note taker options eventually collides with the free tier, because that is how most teams start. Both vendors have one. They restrict it in structurally different ways, and the difference is what determines whether the free version is a real evaluation or a trap.

Otter meters minutes. The free plan documents a monthly transcription allowance plus a per conversation ceiling, and a small lifetime allowance of audio or video file imports. The per conversation ceiling is the one that bites. A thirty minute standup fits comfortably. A ninety minute workshop or a customer discovery session that runs long gets cut off mid sentence, and the part you most wanted is often the part after the cutoff.

Fireflies meters the intelligence, not the raw capture. Its free plan is comparatively generous on transcription itself but limits AI summary credits, storage, and how far back your searchable history reaches, and it gates the integrations. The result is that you accumulate transcripts you can technically read but cannot summarize, search deeply, or push anywhere useful.

Neither free plan is a serious answer to "what is the best free ai note taker for my team", for one reason that has nothing to do with minutes: admin controls are paid on both. On a free plan every user is their own island, with their own recordings, their own retention, and no central way to see or delete anything. That is fine for one person taking notes on their own calls. It is not a team deployment, and treating it as one creates a data sprawl problem you will pay to clean up later.

Two practical rules for a free plan pilot. First, run it on internal meetings, not customer calls, so you are not deciding vendor data handling under deadline pressure. Second, verify the current limits on each vendor's pricing page the week you evaluate. Both companies revise plan mechanics regularly, and any article quoting exact minute counts, including this one if it did, goes stale fast. The structure of the limit is durable, the number is not.

Paid plans and what each tier actually unlocks

Both vendors run a similar ladder: individual paid, business, enterprise. What sits on each rung differs in ways that map cleanly onto who is buying.

The Otter AI Pro plan is aimed squarely at an individual. It raises the monthly minute allowance, extends the per conversation ceiling substantially, and increases file imports. It does not turn Otter into an administered team product. If you are one consultant, one recruiter, one researcher, the Otter AI Pro plan is often the entire answer and you can stop reading the enterprise sections. If you are buying for a department, the Pro tier is a stepping stone, not a destination: the admin console, usage visibility, concurrent meeting handling and CRM connections live on Business.

Fireflies Pro similarly opens up transcription and adds the CRM integrations and download options, with AI summary generation still credit metered. Fireflies Business is where the sales oriented machinery appears: video recording, conversation intelligence across the team's calls, talk time and topic analytics, and API access. Enterprise on both sides is where SSO, custom retention, and negotiated data handling terms live.

Here is the side by side on the dimensions that decide it.

Read that table as directional structure, not a spec sheet. Confirm every row against the vendor's own documentation on the day you buy, because both products ship changes faster than any comparison article can track.

Admin, retention and access controls

This is the section that gets skipped in the pilot and re litigated by your security reviewer three days before you want to roll out. Do it early, and ask both vendors the same questions in writing.

Who can see a recording by default. On both products, individual recordings default to the person whose meeting it was, with sharing controls layered on. What differs is whether an admin can see, search or export the whole workspace, and whether that visibility is announced to users. Ask specifically: can an administrator open a transcript the owner never shared? Teams have very different answers to whether that is a feature or a violation.

Retention. Ask for the granularity. Can you set retention org wide, per workspace, per user, or not at all? Does deleting a recording also delete the derived summary, the extracted action items, the search index entry, and any copy pushed into Slack or a CRM? The answer to that last part is almost always no for downstream copies, which means your retention policy is only as good as the weakest place the content landed.

Training. Ask whether your recordings and transcripts are used to improve the vendor's models, whether opt out is available, and whether opt out is the default on business plans or something you must toggle. Get the answer in the contract, not the marketing page.

Identity. SSO and SCIM provisioning are enterprise tier features at both vendors. If you cannot deprovision a departing employee's note taker account through your identity provider, their transcript library walks out with them, and that library is often the most sensitive unstructured data your company produces.

External participants. Both bots record everyone in the room, including your customer. Whose consent do you need in your jurisdictions, what disclosure does the tool make automatically, and can you disable recording for specific meeting types? Sales teams frequently need a hard off switch for legal, HR, and M&A conversations.

If your organization is already working through what employee AI tools do with company content, the same review framework applies here, and the questions overlap heavily with the ones in ChatGPT Data Privacy at Work. A meeting recorder is a more sensitive surface than a chat assistant, because it captures things nobody chose to type.

What each one pushes into your CRM and task tools

Both vendors document a broad integration list. Lists are not depth. The question that matters is what specifically gets written, to which object, and how reliably.

Fireflies is the more sales native of the two. It documents logging call notes and summaries against records in Salesforce, HubSpot, Pipedrive and Zoho, posting to Slack, creating tasks in tools like Asana, Trello, Monday and Notion, and an API on higher tiers for anything not covered. Its topic trackers and talk time analytics exist because the buyer it was designed for is a sales manager reviewing rep calls, not an individual keeping personal notes.

Otter's push surface is narrower and later arriving. Slack delivery of summaries is straightforward, and CRM connections to Salesforce and HubSpot are documented on business tiers. Otter's differentiator is less about pipelines and more about the chat layer: asking questions of the meeting content directly rather than shipping it elsewhere.

Now the caveat that applies to both. "Pushes to your CRM" almost always means attaching a note or logging an activity on a record. It rarely means reliably updating structured pipeline fields like next step, close date, or competitor mentioned, and it never means inferring which record a meeting belongs to with perfect accuracy when the attendee's email domain does not match a known account. Ask for a demo on your own record layout with your own field names before you believe any field mapping claim. This is exactly the gap between a tool that can call an API and a system that reliably decides what to write, a distinction worth understanding before you buy anything agentic, and one covered in Orchestrating Tool Calling AI Systems.

A decision framework instead of a winner

There is no single best ai note taker, only a best fit given four facts about your team. Answer these in order and the choice usually resolves itself.

One, who is buying. An individual buying for themselves should weigh the Otter AI Pro plan seriously, because it is priced and shaped for exactly that. A department buying for a team should compare business tiers only, because the individual tiers lack the admin surface you will need in month two.

Two, where the meetings happen. Mostly Zoom, Meet or Teams? Either works. Webex, dial in bridges, or a meaningful share of in person conversations? Coverage becomes the deciding factor, and it splits: Fireflies documents the wider set of conferencing platforms, Otter owns the in person case.

Three, what happens after the meeting. If the answer is "the rep updates the CRM and the manager reviews the call", Fireflies is built for that motion. If the answer is "I need to find what was said and ask questions about it", Otter's chat and live transcript are the more direct path.

Four, what your security review requires. If SSO and enforced retention are non negotiable, you are shopping enterprise tiers at both vendors, and the comparison shifts from features to contract terms. Start that conversation early because it is the long pole.

Run the pilot with those four answers already written down. Otherwise you will end up comparing summary prose quality, which is the least differentiated thing either product does.

Where the transcript goes next, and where Skopx fits

Here is the pattern that shows up a quarter after either tool is deployed. The transcripts are excellent. The summaries land in Slack. And the questions people actually ask still cannot be answered, because they span the transcript and everything else.

"Did we ever commit to that integration date on a call, and did it make it into the roadmap?" "This account churned, what did they tell us in the last three calls and did any of it show up as a support ticket?" "Which deals mentioned the competitor and how did those close?" Each of those needs the meeting record plus a CRM plus a ticket queue plus, sometimes, billing.

Skopx is the layer that reads across those at once. It connects nearly 1,000 tools a company already uses, Gmail, Slack, HubSpot, Stripe, QuickBooks, Google Analytics and more, and answers questions in chat with citations back to the source records. It sends a morning brief, runs an insights engine that surfaces risks and anomalies across connected tools, and lets you build workflows by describing them in chat. It is bring your own key: you connect your own AI provider key for any major model, at zero markup. Pricing is $5 a month for Solo and $16 per seat per month for Team, on the pricing page.

Being precise about what that does not mean. Skopx is not a competitor to Fireflies or Otter. It does not join meetings, does not record audio, and does not produce transcripts. If you have no note taker, Skopx will not give you one, and you should finish this comparison and buy one. It is also not a BI tool, not a data warehouse, not an ETL pipeline, and not a CRM, so it is not where your call notes should live either. It reads the note taker's output alongside your other systems and answers the cross tool question that neither note taker was built to answer.

If you want a concrete sense of what that looks like in practice, AI Agent Examples That Do Real Work walks through twelve patterns that operate on top of tools a company already runs, meeting records among them.

Post meeting follow through check

New meeting transcript

Fires when the note taker publishes a transcript for a customer call

Extract commitments

Pull dates, owners and promises stated on the call

Check CRM record

Look up the matching account and its open next steps

Check ticket queue

See whether promised fixes exist as tickets

Gaps only

Drop anything already tracked, keep what nobody logged

Post to the account channel

One message with the unlogged commitments and their owners

That workflow is only possible because a note taker did its job first. The transcript is the input, not the product.

Frequently asked questions

Is there a genuinely free ai note taker good enough for a small team?

For one person, yes, both free plans work within their limits. For a team, no, and the reason is not minutes. Admin visibility, central retention, and deprovisioning are paid features on both products. A team running on free accounts ends up with recordings scattered across personal libraries that nobody can inventory or delete, which is a bigger cost than the subscription you avoided. Use the free plan to evaluate, not to deploy.

For a sales team choosing between Fireflies and Otter, which usually wins?

Fireflies, on structure rather than transcript quality. Its business tier includes conversation analytics, topic trackers, talk time breakdowns, and deeper documented CRM logging, all of which exist because the product was designed for a sales manager reviewing a team's calls. Otter can deliver summaries into Slack and connect to Salesforce and HubSpot on business plans, but the surrounding coaching and pipeline tooling is lighter. If your use case is research, interviews, or in person meetings rather than pipeline, the otter ai vs fireflies answer flips.

Does the Otter AI Pro plan remove the meeting length limit?

It raises both the monthly allowance and the per conversation ceiling substantially rather than removing limits entirely, and it increases how many audio or video files you can import. Higher tiers raise the ceilings further. Check the exact figures on Otter's pricing page before you buy, because the numbers change and the per conversation ceiling is the one most likely to surprise you during a long workshop.

Can I run Fireflies and Otter in the same meeting to compare them?

Technically yes, both bots can join the same call, and it is the fastest way to compare summaries on identical input. Two caveats. Your participants now see two recording bots, which is a lot to explain to a customer, so run the comparison on internal meetings. And your conferencing admin may cap how many external bots can join or block them entirely, so confirm the policy first.

What happens to our transcripts if we cancel?

Ask each vendor directly and get it in writing, because export scope and post cancellation access windows differ by tier and change over time. The questions to ask: can we bulk export transcripts and summaries, in what formats, does export include the audio or video or only text, how long is the account readable after downgrade, and what is the deletion timeline afterward. Run a real export during the pilot rather than trusting the documentation, and store the result somewhere durable. If you are thinking about where that archive lives long term, Open Source Document Management Systems Worth Running covers the self hosted options.

Zoom and Teams have built in notetakers now. Do we still need one of these?

Sometimes not. Native notetakers cost nothing extra, do not add a visible bot, and are already approved by your security team. They are usually weaker on cross meeting search, CRM logging, and anything happening outside that one platform, and they only cover meetings on the platform that ships them. If all your meetings are on one platform and all you want is a summary, start native. If you need a searchable library across platforms and calls that push into a CRM, that is when a dedicated fireflies ai note taker or Otter deployment earns its cost.