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

Otter.ai started in 2016 as one of the first transcription apps to plug straight into Zoom, and it is now the default AI notetaker for millions of people. It joins your Zoom, Google Meet or Microsoft Teams call, writes a live transcript as people talk, labels each speaker, and then turns the whole conversation into a summary with action items. You leave the meeting with notes you never had to write, and you can search them later by keyword, speaker or date.

The question in 2026 is not whether Otter works. It does, and on clear English audio it is one of the most accurate tools in its class. The question is whether it is still the right pick now that the market is crowded, the free tier is tighter than it looks, and a federal privacy case is working its way through the courts. Fireflies gives you more free storage and a cheaper Pro plan. Read AI and tl;dv push harder on coaching and conversation intelligence. Otter has to earn its price on the quality of its transcript and the usefulness of its summaries.

This review gives you the full picture with prices checked on November 10, 2026. You will see every plan, the minute limits that actually decide which plan you need, how accurate the transcription is on clean and accented speech, what Otter AI Chat does with your meeting history, how the calendar auto-join works in practice, and how Otter stacks up against Fireflies on price and features. Search data from DataForSEO for November 10, 2026 shows about 480 people a month in the US search for an Otter AI review, with medium competition and a cost per click of $13.30, which tells you plenty of buyers are weighing this exact decision.

The short answer

Yes, Otter.ai is still worth it in 2026 if you spend several hours a week in meetings and you hate taking notes. The live transcript with speaker labels is genuinely useful, the summaries save you a real chunk of time after every call, and the free tier is good enough to test the whole workflow on real meetings before you pay anything. For a solo professional who lives on Zoom or Meet, Otter remains the safest first pick in this category.

No, Pro at $16.99 a month is not worth it for everyone. The free Basic plan gives you 300 minutes a month and 30 minutes per meeting, which covers about five hours of calls a month. If your meeting load fits inside that, and you do not need file imports or advanced search, you can run on free for a long time. The moment you hit the 30 minute per meeting cap in the middle of a real call, that is the signal to pay.

Pro on annual billing is the best value for most buyers. At $8.33 a month billed annually, or $99.96 a year, you get 1,200 minutes a month, 90 minutes per meeting, 10 file imports a month and 50 Otter AI Chat queries a month. That is less than half the monthly price, and it covers roughly 20 hours of meetings a month, which is enough for most professionals. Pay monthly for the first month or two, then switch to annual once you know the tool fits your routine.

Business at $30 a month, or $19.99 billed annually, is for small teams who need unlimited minutes, four hour meetings and admin controls. It also adds Salesforce and HubSpot sync for up to five users, custom AI workflows and usage analytics. A team of five on annual Business pays about $1,199.40 a year. That is a fair price for a team that lives in meetings, and a waste of money for a team that meets twice a week.

Start free, and sort out recording consent before you invite the bot to a client call. Otter is the defendant in a pending federal class action over how its Notetaker records people who never agreed to be recorded, and in August 2026 a judge let the core wiretap and privacy claims proceed. Nothing has been proven, and no court has ruled the recording illegal, but the case is a real reason to announce the recording at the start of every call and to check the rules in your state before a team rollout.

What Otter.ai actually is

Otter.ai is an AI meeting assistant that records a conversation, transcribes it in real time, and turns it into a searchable record. It works in three ways. The Otter Notetaker bot joins a scheduled Zoom, Google Meet or Teams meeting and writes the transcript live. The Otter app on your phone or computer records in-person conversations and voice notes. And you can upload an audio or video file and get a transcript back, within the import limits of your plan.

The live transcript is the heart of the product. As people talk, the words scroll on screen with a speaker label next to each turn, and you can highlight a line, add a comment or drop in a screenshot while the meeting is still running. After the call, Otter builds a summary with an outline and a list of action items, and it pulls out the key points so you can paste them into a follow-up email. The transcript stays searchable, so six months later you can find the exact minute someone promised a delivery date.

Otter AI Chat sits on top of your meeting history. You ask it a question in plain language, and it answers from your transcripts, your connected apps and your conversations. It can pull the action items from last Tuesday's call, find every time a client mentioned a deadline, or draft a follow-up from the notes of three meetings. In April 2026 Otter expanded the chat to search across connected apps like Gmail, Google Drive, Notion, Jira and Salesforce, so the answers now draw on more than just your calls.

Otter works in English, Spanish, French, German, Japanese and Chinese for transcription, and it is strongest by far on English. Speaker identification runs on every plan, free included, and it labels who is talking by name once you train it on a voiceprint. Custom vocabulary lets you teach it the names, jargon and acronyms your team actually uses, so a product name or a client surname stops coming out wrong. The free plan gives you five custom terms, while Pro gives you 100 names and 100 other terms per user.

Otter suits people who spend their days in meetings and need a reliable record of what was said. Sales teams use it for call notes and CRM sync. Product managers use it for user interviews and standups. Recruiters use it for candidate calls. Students and researchers use it for lectures and interviews. It is less useful if you rarely meet on video, or if your work happens in person without a recording, because the tool only helps when there is audio to transcribe.

Otter.ai pricing in 2026

Otter.ai sells four plans on its US pricing page, all priced per user per month: Basic at $0, Pro at $16.99 a month or $8.33 a month billed annually, Business at $30 a month or $19.99 a month billed annually, and Enterprise by custom quote. The prices below were checked on November 10, 2026, against Otter's own pricing page and against independent reviews that checked the same page in October and early November 2026, and all four sources agree on the numbers. Prices are in US dollars before tax, and they can vary by region and by promotion.

Basic costs $0 and gives you 300 transcription minutes a month, 30 minutes per conversation, 3 lifetime file imports, 20 Otter AI Chat queries a month, and a workspace of up to 5 members. You also get live transcription, speaker identification, automated summaries with action items, and the mobile and web apps. The 25 most recent conversations stay in your history, and older ones drop off, so Basic is a working tier with a short memory.

Pro costs $16.99 per user a month, or $99.96 a year on annual billing, which works out at $8.33 a month. Annual billing cuts the price by 51 percent, saving $103.92 a year against twelve monthly payments. Pro gives you 1,200 transcription minutes a month, 90 minutes per conversation, 10 file imports a month, 50 Otter AI Chat queries a month, unlimited conversation history, and two concurrent meetings. It also adds advanced search, custom vocabulary, meeting templates, Salesforce, HubSpot and Zapier integrations, and export to PDF, DOCX and SRT.

Business costs $30 per user a month, or $239.88 a year on annual billing, which works out at $19.99 a month. Annual billing saves $120.12 a year, about 33 percent. Business gives you unlimited meeting transcription, four hours per conversation, unlimited file imports up to 6,000 import minutes a month, 200 Otter AI Chat queries a month, three concurrent meetings, and a workspace of up to 25 billed users. It adds custom AI workflows, admin tools, usage analytics, bulk export, and Salesforce and HubSpot sync for up to five users.

Enterprise has no public price and is sold by quote. It adds everything in Business, plus the Otter Sales Notetaker, the Otter API and webhooks, video replay for Zoom and Google Meet, single sign-on and SCIM user provisioning with a 100-user minimum, domain capture, custom data retention, and an optional HIPAA add-on. A large company that needs SSO or a HIPAA agreement has to talk to sales, and the price will depend on seat count and the add-ons chosen.

Students and teachers with a .edu email address get 20 percent off Pro, which brings it to $13.59 a month, or $6.67 a month billed at $79.99 a year. That discount is listed on Otter's own pricing page FAQ, and it applies to individual students and teachers only. There is also a first-time subscriber offer on Business at $24 a month for the first three months, which the pricing page flags as valid for first-time subscribers only. Check the upgrade screen before you pay, because regional pricing and short promotions can move the numbers.

The annual maths is simple and worth doing before you commit. Twelve monthly Pro payments cost $203.88, while the annual plan costs $99.96, so annual billing saves $103.92 a year. Twelve monthly Business payments cost $360 per user, while the annual plan costs $239.88, so annual billing saves $120.12 a year per user. The saving only helps if you will use the plan all year, so pay monthly for the first month or two, count your real meeting minutes, and switch to annual once the numbers prove the plan fits.

Free vs paid: the limits that decide your plan

The minute limit is the number that decides your plan, and Otter counts it in a way that surprises new users. Basic gives you 300 minutes a month and Pro gives you 1,200, and the minutes are a shared pool across all transcription types, including live meetings and imported files. There is no rollover, so unused minutes at the end of the month are gone. A person who sits in two 30 minute meetings a day, five days a week, uses about 1,200 minutes in a month, which is exactly the Pro limit. Count your real meeting hours before you pick a plan, because the guess is usually wrong.

The per-meeting cap is the limit that bites first on the free plan. Basic stops transcription at 30 minutes per conversation, and a meeting that runs long simply loses the second half of its transcript. A one hour client call on Basic gives you the first 30 minutes and nothing after it, which is the worst place to lose a record, because decisions usually land near the end. Pro raises the cap to 90 minutes, and Business and Enterprise go to four hours. If your calls regularly run past 30 minutes, Pro is not a luxury, it is the minimum that keeps your notes complete.

File imports are the second limit to watch. Basic allows 3 file imports in total, for the life of the account, and then the feature is gone until you upgrade. That is enough to test the feature on a recorded interview or an old call, and not enough to use it as a regular workflow. Pro allows 10 imports a month, and Business allows unlimited imports up to 6,000 import minutes a month. If your work involves transcribing recordings you already have, such as interviews, lectures or podcast audio, the import limit matters as much as the meeting minutes.

Otter AI Chat has its own cap on every plan. Basic allows 20 queries a month with a maximum of 3 per conversation, Pro allows 50 a month, and Business and Enterprise allow 200 a month. Twenty queries a month sounds like plenty until you start asking follow-up questions, because a single useful answer often takes three or four questions to reach. If the chat becomes part of your daily routine, the Basic cap will run out in the first week, and that is another quiet push toward Pro.

Conversation history is the limit most people forget about. Basic keeps only your 25 most recent conversations, and older ones drop out of the archive. Pro, Business and Enterprise keep unlimited history, which is what makes the search feature valuable over time. A transcript you can find six months later is worth far more than one that vanished in week four. If you want Otter to be your meeting memory rather than a notepad for this week, unlimited history is the feature that makes it work, and it starts on Pro.

Transcription accuracy and real-time notes

Otter is accurate on clear English audio, and that is the claim that matters most for a transcription tool. A hands-on test published in November 2026 ran Otter on two recordings, one clean and one noisy cafe recording with an accented speaker, and found only 3 word errors out of 802 words, which is 99.6 percent word accuracy. Speaker identification was almost as good, labelling 23 out of 24 speaking turns correctly. That is a small test on two recordings, not a lab benchmark, but it matches what other 2026 reviews report: Otter is one of the better performers on clear English speech.

Accuracy drops in the usual places, and you should plan for it. Heavy accents, people talking over each other, poor microphones and dense jargon all produce garbled passages, and independent 2026 testing puts everyday accuracy around 85 percent on standard US English when those factors stack up. Technical terms often need the custom vocabulary feature to land correctly, so a product name or a piece of industry jargon will come out wrong until you teach Otter the term. Speaker labels can also misassign lines when several people talk at once, and on a noisy call one review found a large chunk of the conversation assigned to a single speaker.

The practical rule is to treat every transcript as a first draft, not a verified record. Read the summary before you paste it into a follow-up email, and check the names, the numbers and the action items, because those are the places where a small error causes a real problem. A wrong deadline in a summary is the kind of mistake a client notices, and a wrong name in an action item sends the work to the wrong person. The transcript is searchable and editable, so fixing a mistake takes seconds, but only if you actually read it first.

The live experience is where Otter earns its keep. The transcript scrolls while people talk, with a small delay that is short enough to follow in real time, and you can highlight a line or add a comment without leaving the call. Otter also provides live captions on Google Meet and Zoom, so a participant who misses a sentence can read it on screen. On a single-screen setup the live view is awkward, because you cannot watch the call and the transcript at the same time without a second monitor, so most people use the live view for highlights and read the full transcript after the call.

Language support is real but uneven. Otter transcribes English, Spanish, French, German, Japanese and Chinese, and it is strongest on English by a clear margin. Some reviews note that only five of the supported languages are out of beta, and there is no automatic language detection, so the tool can try to force everything into English if the language setting is wrong. If your meetings run in a language other than English, test Otter on a real recording in that language before you pay, because the English accuracy numbers do not carry over.

Otter AI Chat and summaries

Otter AI Chat is the feature that turns a pile of transcripts into something you can question. You type a question in plain language, and it answers from your meeting history, your connected apps and your conversations. Ask it for the action items from last Tuesday's call, or for every time a client mentioned a deadline, and it pulls the answer with a link back to the moment in the transcript. That link matters, because you can check the source instead of trusting the answer blind.

The chat is honest about what it knows, and in testing it did not invent answers even when asked a misleading question. That is a real strength, because a meeting assistant that hallucinates a decision is worse than one that says it does not know. The same test found the chat assigning tasks to the wrong person and misreading a deadline, which traces back to the speaker identification problem: when the transcript labels the wrong speaker, the chat inherits the mistake. Read the answer, then click through to the transcript and check the line it came from.

The automated summary is the part you will use most, and it is good in structure but generic in places. Every meeting gets an outline and a list of action items, and the summary arrives fast enough to paste into a follow-up email within minutes of the call ending. The weak spot is that a key decision can end up as one bullet among twelve, because the summary treats every point with the same weight. If a meeting had one decision that mattered, read the transcript around that moment and write the follow-up yourself, using the summary as a starting point rather than a finished email.

Meeting templates shape what the summary looks like. Pro and above get advanced templates, and Business adds custom AI workflows that can build a summary in the shape your team actually uses, such as a sales call recap or a standup digest. A template that matches your meeting type saves you the edit you would otherwise do by hand every time. Set the template once for your most common meeting, and the summaries start arriving in a shape you can use without rework.

The query limits decide how much you can lean on the chat. Basic gives you 20 queries a month and 3 per conversation, which is enough to test the feature and not enough to use it daily. Pro gives you 50 a month, and Business and Enterprise give you 200. If you ask the chat two or three questions after every meeting, a Pro user in 15 meetings a month will use most of the allowance. Watch the count in your first month, and treat it as a real limit rather than a number on a feature list.

Auto-join, calendar and the meeting workflow

Auto-join is the feature that makes Otter feel automatic, and it is also the feature that causes the most trouble. Connect your calendar, and the Otter Notetaker joins your scheduled Zoom, Google Meet or Teams meetings on its own, starts recording, and sends the transcript to everyone in the workspace after the call. You do not have to remember to start it, and you do not have to take notes. For a person in back-to-back meetings, that is the whole point of the tool.

The trouble starts when the default is left on. Connect a calendar, leave auto-join switched on, and the bot joins every meeting on it, including ones you forgot about, internal chats you never meant to record, and calls with people who never agreed to be recorded. Several 2026 reviews flag this as the single biggest practical issue with Otter, and the fix is simple: turn auto-join on only for the calendars and meeting types where recording is expected, and switch it off for everything else. Check the setting once a month, because a new calendar connection can re-enable it.

The bot announces itself when it joins, and that announcement is your consent step. Say out loud at the start of the call that the meeting is being transcribed, and give people a chance to object. That spoken line takes five seconds, and it is the difference between a tool your team trusts and a tool that surprises people. Otter also offers a recording disclaimer email and a Teams recording permission capture on higher plans, which help in a formal setting, but the spoken announcement is the habit that matters most.

The workflow after the call is where Otter saves its time. The transcript lands in your workspace, the summary and action items are already written, and you can share the notes through a private channel or a public link. Highlights and comments you added during the call sit in a takeaways panel, so the moments you flagged are easy to find. Export the transcript as text, PDF, DOCX or SRT on Pro and above, and the audio as MP3, so the record can leave Otter when you need it to.

Calendar integration is simple to set up and worth doing properly. Connect Google Calendar or Outlook, choose which calendars the bot watches, and check the first few auto-joined meetings to make sure the bot joined the right ones. A meeting that the bot missed is a meeting with no notes, and a meeting it joined by mistake is a privacy problem. Spend ten minutes on the settings once, and the workflow runs itself after that. Our guide to the best AI meeting assistant (/articles/best-ai-meeting-assistant-2026) explains how the auto-join workflow compares across the main tools.

Integrations: Zoom, Meet, Teams, Slack, Salesforce and HubSpot

Otter joins Zoom, Microsoft Teams and Google Meet, and those three cover almost every meeting a professional will ever attend. The bot joins as a participant, records the call, and writes the transcript live, with integrated live notes and captioning on Zoom and Meet. Video replay for Zoom and Google Meet is an Enterprise feature, so on lower plans you get the transcript and the audio, not the video. Automatic sync of cloud recordings from Zoom is included, and Otter can also sync audio and video files from Dropbox on paid plans.

Slack is where the transcript goes after the meeting. Otter can post the summary and the action items into a Slack channel, so a team that lives in Slack sees the notes without opening another app. That one integration saves more time than most people expect, because it puts the outcome of a meeting in the place where the team already works. Zapier is available on Pro and above, and it connects Otter to hundreds of other apps, so a transcript can trigger a task in your project tool or a row in a spreadsheet without anyone copying it by hand.

Salesforce and HubSpot sync is where Otter starts to pay for itself on a sales team. On Business, Otter syncs notes to Salesforce or HubSpot for up to five users, and AI Chat with Salesforce lets a rep ask about a deal from inside the CRM. A call with a prospect becomes a logged activity with a summary and action items, without the rep typing a word after the call. That is the workflow that justifies the Business price for a sales team, and it is the feature that a solo user will never touch.

The Otter API and webhooks are Enterprise only, which is a real limit for a team that wants to build its own workflow. A Business team that wants to pull transcripts into an internal dashboard has to use Zapier or the manual export instead. The MCP server integration for AI assistants is listed on the pricing page, and it lets an AI assistant query your Otter data, though you should check what data it can reach before you connect it to a shared workspace. Our guide to the best AI transcription software (/articles/best-ai-transcription-software-2026) compares the integration lists across the main tools, and our roundup of the best AI note-taking apps (/articles/best-ai-note-taking-apps-2026) covers the tools that work outside meetings.

The integration list is honest about what Otter is for. It is a meeting tool first, and the integrations serve the meeting workflow: calendar to join the call, video platforms to record it, Slack and CRM to share the result. It is not a general note-taking app, and it does not try to be one. If your notes live mostly in meetings, the integrations fit. If your notes live in documents and voice memos, a dedicated note-taking app will serve you better.

Otter.ai vs Fireflies

Fireflies is the rival most Otter buyers compare it with, and the two tools charge in very different ways. Otter charges by minutes per month, while Fireflies charges by storage, and that difference decides which one is cheaper for you. Fireflies Pro costs $10 a seat a month billed annually, or $18 monthly, against Otter Pro at $8.33 billed annually or $16.99 monthly. On annual billing Otter Pro is the cheaper of the two by about $1.67 a month, and on monthly billing Otter is cheaper by about $1. Fireflies Business is $19 a seat billed annually against Otter Business at $19.99, so the two are within a dollar of each other.

The free tiers tell a different story. Otter Basic gives you 300 minutes a month and 30 minutes per meeting, with 3 lifetime file imports and 25 conversations of history. Fireflies Free gives you unlimited transcription when calendar auto-join is on, but only 400 minutes of storage for the whole team, and no video or downloads. Otter's free tier is better if you want a clean monthly allowance and a proper transcript, while Fireflies' free tier is better if you want unlimited meetings and can live with a tiny storage cap. Both free tiers run out fast, and both are really a trial with a longer fuse.

Fireflies pulls ahead on languages and on team analytics. It transcribes in more than 100 languages, against Otter's six, and its Business plan adds conversation intelligence and team analytics that Otter only matches with custom AI workflows and the Enterprise Sales Notetaker. Fireflies also records meeting video at 720p on Pro, while Otter keeps video replay for Enterprise. A team that sells across languages, or a sales manager who wants talk-time analytics across the team, will get more from Fireflies Business than from Otter Business at the same price.

Otter pulls ahead on live transcription quality and on the simplicity of its pricing. Its live transcript with speaker labels is the feature reviewers praise most, and its minute-based limits are easier to plan around than Fireflies' storage cap and AI credit system. Fireflies runs its AI features on a credit pool, with 20 credits on Free and Pro and 30 on Business, and the credits are a one-time grant shared by the team. Otter's chat query limits are simpler to track, and its 1,200 minutes on Pro is a number you can measure against your calendar in one minute.

The honest way to choose is to test both on the same week of meetings. Run Otter on your calls for a week, then run Fireflies the next week, and compare the transcripts side by side on the same kind of call. Look at the accuracy on your own voice and your team's accents, the quality of the summary, and whether the action items were right. The tool that gives you a usable summary with the least fixing is the tool that fits your meetings, whatever the price list says. Our full Otter.ai vs Fireflies comparison (/articles/otter-ai-vs-fireflies-2026) goes deeper into the feature lists and the real costs for a team of five.

Who should pay, and who should stay free

Pay for Pro on annual billing if you spend more than five hours a week in meetings and your calls regularly run past 30 minutes. At $99.96 a year, you get 1,200 minutes a month, 90 minutes per meeting, 10 file imports a month, 50 chat queries and unlimited history, which covers about 20 hours of meetings a month. That is the plan for a consultant, a product manager, a recruiter or a founder who lives on video calls and needs the notes to be complete. Track your first month on free, count your real minutes, and upgrade when the cap stops a transcript mid-call.

Pay for Business if you run a small team and you need unlimited minutes, four hour meetings and admin control. At $239.88 a year per user, a team of five pays about $1,199.40 a year, and the plan earns its price when the team meets daily and the notes feed into Salesforce or HubSpot. The custom AI workflows and usage analytics are the extras that make Business a team tool rather than a bigger Pro plan. A team that meets twice a week does not need it, and five Pro seats would cost less.

Stay on free if your meeting load fits inside 300 minutes a month and your calls stay under 30 minutes. That covers a freelancer with a few client calls a week, a student recording lectures, or anyone testing the tool before a decision. Stay free also if you only need Otter for the occasional interview or call, because 300 minutes a month is about five hours, and the 30 minute cap only hurts when a call runs long. The free tier is a real working plan, not a demo, as long as your meetings fit inside it.

Look at Enterprise only if your company needs single sign-on, SCIM provisioning, a HIPAA agreement or the API. Those are the features that define the tier, and the 100-user minimum on SSO and SCIM tells you who it is built for. A company that needs those controls will already know it needs them, because the IT or legal team will have asked for them. Everyone else can stop at Business.

Students and teachers should use the 20 percent discount and skip the full price entirely. Pro at $6.67 a month billed annually, or $79.99 a year, is one of the cheapest ways to get a proper transcription tool for lectures and research interviews, and the .edu discount is listed on Otter's own pricing page. Sign up with the .edu address, claim the discount from the upgrade screen, and check the price before you confirm, because the discount applies to individual students and teachers only.

Limitations and privacy: the consent question

Accuracy with accents is the first limitation to be honest about. Otter is strong on clear US English, and it gets weaker on heavy accents, fast cross-talk and poor microphones. Independent 2026 testing puts everyday accuracy around 85 percent on standard US English when those factors stack up, against near-perfect results on clean audio. If your team speaks with a range of accents, or your calls happen in noisy rooms, test Otter on your own recordings before you trust it with client notes, because the demo numbers will not match your calls.

Speaker identification is the second limitation, and it shows up in the summaries. Otter labels speakers by name once it learns a voice, but it does not name speakers automatically on a first call, and on a noisy call it can assign a large chunk of the conversation to one person. That mislabelling flows into the summary and into Otter AI Chat, so an action item can land on the wrong person and a deadline can be tied to the wrong speaker. Fix the speaker labels in the transcript before you share the notes, because the fix takes a minute and the mistake can cost a day.

The privacy question is the most important part of this review, because Otter records other people's speech. Otter is the defendant in a consolidated federal class action, In re Otter.AI Privacy Litigation, in the Northern District of California, which alleges that the Notetaker recorded private conversations without all-party consent and used those recordings to train its models. On August 13, 2026, Judge Eumi K. Lee granted Otter's motion to dismiss in part and denied it in part, so the claims under the federal wiretap act, California's invasion of privacy act, the Illinois biometric privacy act, unjust enrichment and California's unfair competition law all survived. Otter filed its answer in September 2026, denying that it creates voiceprints and denying that it failed to obtain consent, and the class-certification motion is due in May 2027. Nothing has been proven, and no court has ruled that Otter broke the law.

The privacy policy adds a second concern. Otter's policy, effective June 16, 2026, allows training its AI models on de-identified recordings and transcripts, and reviews note that there is no self-serve opt-out for most users, while Enterprise accounts are reportedly opted out by default. All audio is streamed to Otter's cloud servers for processing, and Otter encrypts data in transit and at rest and holds SOC 2 Type II compliance, plus HIPAA compliance as an Enterprise add-on. If your calls involve client data under a strict agreement, read the agreement before you deploy Otter across a team, and ask Otter about the opt-out in writing.

The practical fix is a spoken consent step, not a different tool. Announce at the start of every recorded call that Otter is transcribing, and give people a chance to object. Turn auto-join off for calendars and meeting types where recording is not expected, and check the setting once a month. If your calls involve people in all-party consent states such as California, take the consent question seriously, because the risk sits with you whether or not the litigation goes Otter's way. This is general information, not legal advice, and for your own consent obligations, consult qualified counsel before you deploy any recording tool across a team.

A 7 day test plan before you pay

Day one is for setup and a first real meeting. Create a free account, connect your calendar, and let the Notetaker join one real meeting. Read the transcript and the summary after the call, and check the action items against what was actually agreed. That first meeting tells you more about Otter than any review, because it runs on your voice, your team and your kind of call.

Day two is for accuracy and the 30 minute cap. Run Otter on a call with more than two people, and on a recording with an accent or background noise if you have one. Check the speaker labels and the names, then time a call that runs past 30 minutes and watch what happens to the transcript. The free plan stops at 30 minutes per conversation, so a long call on day two shows you the limit in action.

Day three is for Otter AI Chat and the summary. Ask the chat three questions about the meetings from days one and two, such as the action items, a deadline, or a decision. Check each answer against the transcript, and note whether the chat got the speaker right. Then paste the summary into a follow-up email and see how much editing it needs before you would send it.

Days four to seven are for the decision. Use Otter on every meeting for four days, count your real minutes, and note how many times a limit stopped you. Check whether the 300 minute monthly allowance would last your month, whether the 25 conversation history limit matters, and whether you used the chat enough to need more than 20 queries. If a limit stopped you twice or more in the week, pay for Pro monthly first, and switch to annual once you know the plan fits.

1. Day 1: Create a free account, connect your calendar, and let the Notetaker join one real meeting.
2. Day 2: Test accuracy on a multi-speaker call and a noisy recording, and time a call past 30 minutes.
3. Day 3: Ask Otter AI Chat three questions about your meetings, and check each answer against the transcript.
4. Day 4: Use Otter on every meeting, and count your real minutes against the 300 minute free allowance.
5. Day 5: Test a file import on a recorded interview or an old call, and check the transcript quality.
6. Day 6: Try the Salesforce, HubSpot or Zapier integration if your team uses one of them.
7. Day 7: Count how many times a limit stopped you, and decide based on real blocks.