Otter.ai vs Speechmatics: pricing, features and which to choose

Otter.ai is a cloud meeting assistant for recording, live transcription, searchable conversation history, summaries, action items, and meeting chat. It can join Zoom, Microsoft Teams, and Google Meet, while web and mobile apps record directly. Current plans are Basic, Pro, Business, and Enterprise. The free tier includes 300 monthly minutes, but limits conversations to 30 minutes and imported files to three lifetime items. Otter is an active product for professionals, students, sales teams, researchers, and organizations that want automatic notes and a searchable memory of spoken conversations. For a buyer, the central value is reducing manual note taking and making past discussions easier to revisit. The main fit question is whether meeting volume, conversation length, and import needs remain within the selected plan’s boundaries.

A typical workflow connects a calendar or meeting service, lets Otter join, or records through the app, then reviews the transcript, speaker labels, summary, and action items. AI Chat answers questions across meetings and can work with connected context. Pro raises monthly transcription to 1,200 minutes, extends meetings to 90 minutes, and adds advanced search, exports, templates, vocabulary, Salesforce, HubSpot, and Zapier integrations. Business adds unlimited in-app meetings, custom workflows, unlimited imports, four-hour meetings, analytics, activity logs, and stronger workspace administration. Buyers should match these differences to operating habits: occasional users may need only review tools, while sales or service teams may value integrations, repeatable workflows, and centralized administration enough to justify a higher tier.

Otter works well for clear business meetings, lectures, interviews, and recurring team discussions, but it is not legal-grade transcription. Noise, overlapping speakers, accents, and poor microphones can require cleanup. Fireflies.ai and Fathom compete on meeting capture and summaries, while Rev and Sonix are stronger transcript-focused comparisons. Basic is useful for testing, but frequent users can hit monthly or per-meeting caps. Choose Otter for searchable meeting memory across major video platforms, or another service for broader language coverage or strict human-accuracy requirements. Compared with Fireflies.ai, Otter emphasizes a broad meeting-memory workflow; compared with Fathom, it offers a different balance of capture and plan limits; compared with Rev, it is less suited to accuracy-led transcript purchasing. Buyers should choose Otter for searchable cross-platform meeting history, Fireflies.ai or Fathom for alternative meeting workflows, and Rev for transcript-focused needs.

Speechmatics grew out of research by Tony Robinson, who applied neural networks to speech recognition at Cambridge University in the 1980s, and the company was founded in Cambridge in 2006. Katy Wigdahl is chief executive. In 2022 it raised a $62 million Series B led by Susquehanna Growth Equity, according to TechCrunch. Its stated aim is to understand every voice, and its pitch rests on accuracy for accents, dialects and non-native speakers that trip up other engines. Customers range from broadcasters running live captions to contact centres, legal transcription firms and medical documentation companies. Speechmatics is one of the few speech vendors that has always sold on-premises and on-device deployment alongside its cloud API, which keeps it on shortlists for banks, governments and hospitals with strict data rules.

The product line now covers three jobs. Batch transcription processes recorded audio and video files, with speaker diarization, punctuation, custom dictionaries and translation. Real-time transcription streams live audio for captions and analytics. Agent STT, launched on September 17, 2026, is built for voice agents: it returns transcripts with turn detection, live speaker labels, speaker identification and up to 1,000 custom vocabulary terms over one connection. It plugs into the LiveKit and Pipecat agent frameworks, and Speechmatics says early users integrated it in under an hour. A text-to-speech API, added in June 2026, gives voice agents a matching output voice. Developers use REST and WebSocket APIs with SDKs, or a web portal for one-off files, and add-ons such as summaries and sentiment are priced separately.

Speechmatics' pricing is harder to read than Deepgram's or AssemblyAI's, because the published rates bundle discounts that depend on data sharing and annual commitments. Its text-to-speech is new and has a smaller voice range than ElevenLabs or Cartesia. Deepgram is the closest competitor for voice agents, with Flux turn detection at similar prices and a larger developer community. AssemblyAI is strong on audio intelligence features for recorded calls and meetings. OpenAI's transcription models are convenient for teams already on its API but offer no on-premises option. Pick Speechmatics for accented or code-switched speech, for medical transcription, for live broadcast captioning in many languages, or when audio must stay inside your own data centre. Benchmark it against Deepgram on your own recordings before signing a volume deal.