Quick facts

Free plan: Yes
Min paid price: $8.33/user/mo (annual)
Languages: 3 (English, Spanish, French)
Mobile app: Yes (iOS + Android)
API available: Yes (Enterprise)
Offline mode: No
Used by: Amazon, IBM, NBC, UCLA

Ratings by category

Ease of use9.0/5

Value for money6.0/5

Features7.0/5

Support5.0/5

Integrations8.0/5

Accuracy7.0/5

Key features

OtterPilot is the automated meeting bot that joins your Google Meet, Zoom, and Microsoft Teams calls without any manual action. Once connected to your calendar, OtterPilot detects scheduled meetings, joins automatically at the start time, and begins transcribing immediately. This fully hands-off setup means no one on the team needs to remember to start a recording.
Live captions display in real time during the call, making Otter.ai the strongest option in this category for accessibility and in-the-moment reference. Meeting participants with hearing difficulties, non-native speakers trying to keep up with fast speech, or anyone who processes information better visually can follow along without any lag. The captions are also available to remote participants who join from noisy environments.
Real-time speaker identification labels each speaker's segments in the transcript as the conversation happens, not just after it ends. Otter learns to distinguish voices over time, and you can manually assign or correct speaker names to improve accuracy. This makes it much easier to follow attribution in a transcript when multiple people are speaking quickly.
AI-generated highlights automatically flag important moments in a transcript - decisions, questions, action items, and key statements - without requiring any manual tagging. After a meeting, you get a condensed view of the most important moments rather than having to read through the full transcript to find what matters. This feature saves significant time when reviewing meetings from multiple back-to-back calls.
AI chat with meeting content lets you ask questions about any meeting transcript using natural language. You can query a single meeting ("What did Sarah say about the budget?") or ask across multiple meetings ("When did we last discuss the product roadmap?") and get direct answers with transcript citations. This turns your Otter library into an interactive knowledge base rather than a static archive.
Global search indexes every word spoken across your entire meeting history and makes it retrievable in seconds. You can search by keyword, speaker name, date, or meeting title to find any moment from any past meeting. For teams that use meetings as their primary communication channel, this search capability becomes essential for recalling decisions and commitments made months earlier.
Automated meeting summaries are generated at the end of each call and highlight the main topics discussed, action items assigned, and key decisions made. The summary is available within minutes of the meeting ending and can be shared directly from the Otter interface via email or link. This is the feature most teams point to as their primary time-saver.
Action item detection identifies tasks and commitments mentioned during a call and extracts them into a dedicated list. When someone says "I'll send that over by Friday" or "Can you set up a demo for next week?", Otter flags the commitment and attributes it to the speaker. Managers use this to hold team members accountable without needing to take manual notes during calls.
In-person recording via the mobile app extends Otter's usefulness beyond video calls to face-to-face meetings, workshops, interviews, and conference sessions. The iOS and Android apps capture audio and transcribe in real time, syncing back to your Otter account automatically. This makes Otter a complete meeting capture solution rather than a video-call-only tool.
Zoom native integration via the OtterPilot plugin means Otter can be embedded directly into the Zoom interface, giving participants a transcript sidebar they can follow without switching tabs. The integration is tighter than a generic bot join - it has access to the Zoom participant list for more accurate speaker ID and supports Zoom's own recording permissions model.
HIPAA compliance on Business and Enterprise plans makes Otter.ai one of the few meeting assistants suitable for healthcare conversations. Medical teams, therapists conducting telehealth sessions, and healthcare administrators who need to record patient-adjacent conversations can use Otter with a signed Business Associate Agreement. This compliance tier is rare in this tool category.
Shared workspaces allow teams to collaborate on meeting transcripts, add comments, and highlight key moments together. Multiple team members can annotate the same transcript, making it useful for sales teams doing call reviews or research teams coding qualitative data. The collaborative layer turns transcripts from individual notes into shared team assets.
The free plan offers 300 minutes of transcription per month with a maximum of 30 minutes per individual conversation, which works for users who only need occasional capture. Pro at $16.99 per month removes the per-conversation limit and increases the monthly allowance to 1,200 minutes. Business at $30 per user per month adds HIPAA compliance, shared workspaces, and admin controls.
Automated follow-up email drafts can be generated from meeting summaries and sent to participants directly from the Otter interface. The draft includes a summary of what was discussed, decisions made, and next steps, saving the meeting organizer 10-15 minutes of post-meeting admin work. Teams that run lots of external customer calls find this especially useful.
Import functionality lets you upload existing audio and video files for transcription, not just live meetings. You can drag in old recordings, conference session videos, or interview recordings and Otter will transcribe them and add them to your searchable library. The free plan limits you to 3 imports per month, while paid plans offer higher limits.

Pros & cons

Pros

Live captions are the best in class in this category, making Otter.ai the clear choice for accessibility use cases. Real-time display with minimal lag is genuinely useful for participants with hearing difficulties, non-native speakers, or anyone joining from a noisy environment where audio quality is inconsistent.
OtterPilot's Zoom integration is tighter than any competitor. The native plugin approach rather than a generic bot join gives better speaker identification, a more seamless in-Zoom experience, and access to Zoom's participant management features. Teams whose entire call stack is Zoom will notice the quality difference immediately.
Mobile recording quality is the best available for in-person meetings. The iOS and Android apps handle background noise, multiple simultaneous speakers, and room acoustics reasonably well. For teams that have a mix of video calls and in-person meetings, this is the only tool that covers both scenarios without a separate solution.
HIPAA compliance on Business and above makes Otter.ai accessible to healthcare and mental health professionals who cannot use most meeting tools for patient-adjacent conversations. This compliance tier is uncommon in the meeting assistant category and opens up an entire vertical that competitors cannot serve.
AI chat across your meeting history is well-implemented and genuinely useful. The ability to ask "What did we decide about pricing last quarter?" and get a cited answer from a transcript saves hours of manual searching and is more reliable than trying to remember what was said.
The SOC 2 Type 2 certification combined with HIPAA eligibility means Otter passes the security review at most enterprise organizations without additional negotiation. This matters a lot for IT procurement teams who gate tool adoption on compliance documentation.
Transcript accuracy for clear, standard American English is consistently among the best in the category. The system handles a range of accents and speaking speeds well compared to older transcription services, making corrections a minor task rather than a major cleanup effort.
Automated summary quality is strong enough that many teams share Otter summaries externally with clients and partners without editing. The format is clean, the key points are usually well-extracted, and the action item detection is reliable for standard business conversation patterns.

Cons

Otter.ai is primarily an English-language tool. Support for other languages is limited and significantly less accurate than the English transcription. Organizations with multilingual teams, European customers, or non-English speaking markets will find this a hard constraint that forces them to consider alternatives like tl;dv or Fireflies.
The free plan restrictions are tight compared to competitors. The 300 minutes per month cap, 3 import limit, and 30-minute per-conversation maximum make the free tier genuinely restrictive rather than a useful trial. Teams doing any meaningful volume of meetings will hit the limits within days.
Business plan pricing at $30 per user per month is expensive relative to what competitors charge for similar feature sets. A 10-person team pays $300 per month for Business features, and the jump from Pro ($16.99) to Business ($30) is significant for smaller teams that only need one or two Business-level features like HIPAA compliance or custom vocabulary.
The bot joining meetings can create friction in some external-facing call scenarios. Some customers and prospects are sensitive to recording disclosure and ask questions about the bot participant. Otter does not offer a native invisible capture mode that avoids this issue on all platforms.
Analytics and reporting are limited compared to dedicated conversation intelligence platforms. Otter shows you what was said but provides little structured data about how meetings went - no talk-time ratios, sentiment trends, or coaching dashboards. Teams that need those capabilities require a separate tool alongside Otter.
Transcript corrections need to be made manually, and there is no bulk editing tool for cleaning up an entire transcript at once. When accuracy drops on a call with heavy accents or poor audio, fixing the transcript is a tedious line-by-line process. This limits usefulness for compliance or legal teams who need verbatim accuracy.

Plans & pricing

Otter.ai pricing plans
Plan	Price	Features
Free	Free	300 min/month, 30 min/meeting cap, Zoom and Meet
Pro	$16.99/mo per user/month, billed yearly	1,200 min/month, Advanced summaries, OtterPilot on Teams
Business	$30/mo per user/month, billed yearly	6,000 min/month, Admin controls, HIPAA compliance
Enterprise	Custom pricing custom pricing	Unlimited minutes, SSO, Custom retention policies