Our read
Start with a real meeting on the free plan and follow the chain as far as it goes: speaker labels, an AI Chat question, a channel share, and a name correction if your plan allows editing. The docx and srt exports are paid-plan formats, since Basic exports only mp3 and txt, so that last step needs a paid-plan trial.
From recording to shared notes: the path in four steps
Otter's route from a conversation to something you can hand to colleagues has four stops: capture with a live transcript, speaker labels, search through AI Chat, then sharing through channels, links and exports. Correcting the transcript sits between the second and third stop, and Otter's pricing page does list it.
The plan decides how far you get. A free plan or trial exists. On the Basic plan, the pricing page lists 300 monthly transcription minutes, 30 minutes per conversation, the 25 most recent conversations in history and mp3 and txt exports. Pro and Business raise those ceilings, so a test on Basic will understate what a paying team gets.
Capture and live transcription
Otter's home page describes three ways in: record from a Mac or Windows desktop without a bot joining the call, record on mobile or in the browser, or let the notetaker join Zoom, Microsoft Teams and Google Meet through Google Calendar. The pricing page lists transcription in English, Spanish, French, German, Japanese and Chinese.
Live transcription is the feature the education customers lean on. At UC Davis, the case study describes students reading the transcript as the lecture happens and highlighting passages to return to, so they write less during class. At Irvine Valley College, faculty with Otter in their Zoom account get a transcript that starts automatically and that participants can open. Both accounts come from Otter's published case studies.
Speaker labels and correcting the transcript
The pricing page lists speaker identification by name, shared speakers, and keywords with speaker talk time. Its collaboration section lists editable text and speaker tags, and the Pro listing mentions team vocabulary and taggable speakers. Custom vocabulary for names, jargon and acronyms is capped at 5 terms on Basic; Pro lists 100 names and 100 other terms per user and per team, and Business raises the team figure to 800 each.
The Irvine Valley College case study shows what that looks like in practice. An instructional technologist edited captions to fix a product name Otter had not recognised, and a month later Otter produced it correctly in a demo. That is one user's account published by Otter, not a measure of accuracy. The pricing table does not show which plan includes text editing, so check that in the app.
Finding a passage: search and AI Chat
Otter describes AI Chat as a way to ask questions across your meetings and connected apps and to draft follow-ups, reports and content from the answers. The pricing page caps monthly AI Chat queries at 20 per user on Basic (3 per conversation), 50 on Pro and 200 on Business and Enterprise. The Pro listing also mentions advanced search and export. A team that asks many questions will hit the Basic limit quickly.
MRI Software's sales engineering team shows the use that matters most. In the case study, new hires ask AI Chat questions to review summaries, takeaways and action items from long deals, and a manager asks where a newer engineer struggled and is taken to that section of the transcript. The case study reports a pilot that showed a return after two and a half weeks. That figure is Otter's and MRI's, from one team.
Sharing and exporting
Channels group meetings by team, project or topic so people find recordings in one place. The pricing page lists sharing through private channels and public links, a General channel for all team members, and exports of audio, text and captions: mp3 and txt on Basic, then pdf, docx and srt on paid plans, with bulk export on Business and Enterprise. It also lists export permissions and sharing permissions among the admin controls.
Integrations carry the notes further. Otter lists Slack for sharing transcripts and summaries, Google Docs for editing and sharing, Notion for syncing notes, Jira and Asana for action items, and Glean for searching transcripts next to other company knowledge.
Glacier Media shows the sharing logic in a newsroom. For daily government press briefings, one person transcribed and several reporters filed from that single transcript. Reporters record interviews directly, and the team has also used Otter to transcribe past video interviews so they are documented. The case study says the team expects further time savings as reporters skim past transcripts for quotes, which it presents as anticipated, not yet achieved. Stax went a different way: it bought Otter Enterprise after staff had created individual accounts, some of which were lost when people left, so that data sits in one controlled place.
Limits worth knowing before you pilot
Customer figures and quotes are published by Otter and describe single teams. The UC Davis analyst's side-by-side comparison of transcription tools is one person's test, and the same case study says Otter had nearly completed UC Davis's SOC 2 Type II requirements when the school approved it, which is not a certificate. Plan-by-plan availability for editing and some sharing controls is not readable from the pricing table.
Editorial recommendation, not an Otter feature: record one real meeting with two speakers and some jargon. Fix a misheard name, add it to vocabulary, ask AI Chat for a decision and share to a channel. Then export docx and srt, which needs a paid-plan trial because Basic exports only mp3 and txt. Run it on the plan you would buy, since limits differ.
Method and limits
2026-10-22
This dated snapshot counts distinct companies in public customer evidence. CONFIRMED means a case study, named testimonial or press source; DECLARED means the company itself told usedby; OBSERVED means a vendor listing; SIGNAL means a job post. All four count, but their strength differs. Removed and unlevelled lines are excluded. Examples are a capped selection verified within 90 days. Vendor facts are sourced records checked within 60 days. Coverage is uneven and missing evidence is unknown. These figures measure neither market share nor product performance; capture dates are not adoption dates.
