Attendee: Open-source, self-hostable meeting bot API that sends bots into Zoom, Google Meet, and Microsoft Teams to capture recordings and transcripts. Typist: AI speech-to-text service that converts audio and video into text and exports captions, with tiered models for speed or accuracy. Which one wins depends on your platform mix, budget, and how hands-off you want notes to be.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Attendee when developers embedding meeting recording and transcription into their own saas products matters most, and Typist when generating srt or webvtt captions for podcasts and videos matters most. Test each on your own meetings; the right choice tends to become obvious quickly.
Open-source, self-hostable meeting bot API that sends bots into Zoom, Google Meet, and Microsoft Teams to capture recordings and transcripts.
AI speech-to-text service that converts audio and video into text and exports captions, with tiered models for speed or accuracy.
Attendee is an open-source REST API, developed by Attendee Labs, that abstracts the engineering work of building meeting bots into a single developer-friendly interface. Instead of maintaining separate bot stacks for each video platform, developers send one API request and Attendee dispatches a bot that joins a Zoom, Google Meet, or Microsoft Teams call, then returns recordings, transcripts, and real-time media streams. It is built on widely used, battle-tested technologies such as Django, PostgreSQL, and Redis, and is designed to run from a single Docker image so teams can self-host it on their own infrastructure for data residency, compliance, and cost control. The project documents real-time transcription, webhooks, calendar integration, scheduled meetings, and websocket audio input/output. Because it is open source and self-hosted, organizations in regulated industries can keep meeting audio and transcripts inside their own environment rather than routing them through a third-party vendor. The repository is actively maintained with frequent releases, and the project markets itself as a lower-cost alternative to closed-source meeting-bot platforms for developers who want to embed meeting capture and transcription into their own applications. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Typist is an AI transcription service that converts audio and video files into text and caption files. Users upload recordings in common formats such as MP3, MP4, M4A, WAV, OGG, FLAC, and WebM, and Typist returns a transcript that can be exported to DOCX, SRT subtitles, WebVTT captions, PDF, or plain text. The platform offers multiple transcription models, described as Turbo for speed, Pro for a balance of speed and accuracy, and Studio for the highest accuracy, with the Studio tier adding speaker identification. Typist supports a wide range of languages and accents and provides word-level and segment-level timestamps, which makes it suitable for producing subtitles that import cleanly into video editors. The product positions itself around fast turnaround for pre-recorded content and predictable, credit-based usage. Its documented use cases span lectures, podcasts, interviews, research and client calls, and consulting meetings, alongside students, therapists, and video editors. A free tier with a limited number of minutes lets new users try the service before moving to paid plans, and a web dashboard handles uploads, transcription, and exports. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Attendee is a free tier with paid upgrades (freemium); Typist is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Attendee | Typist |
|---|---|---|
| Core capability | Unified REST API for deploying bots to Zoom, Google Meet, and Microsoft Teams | Audio and video to text transcription across many file formats |
| Standout feature | Meeting recording and transcript retrieval through API endpoints | Export to SRT subtitles, WebVTT captions, DOCX, PDF, and TXT |
| Team usage | Real-time media pipeline with websocket audio input/output | Multiple transcription models trading off speed and accuracy |
| Integrations | Webhooks for event-driven workflows | Speaker identification on the highest-accuracy tier |
| Languages & capture | Calendar integration and scheduled-meeting support | Word-level and segment-level timestamps for clean subtitle timing |
| Best-fit workflow | Single Docker image self-hosting built on Django, PostgreSQL, and Redis | Support for a wide range of languages and accents |
Attendee
Choose Attendee if you need developers embedding meeting recording and transcription into their own saas products — strengths include fully open source and designed for convenient self-hosting, keeping meeting data on your own infrastructure.
Typist
Choose Typist if you need transcribing recorded interviews and research or client calls — strengths include clean subtitle exports (srt and webvtt) that import into video editors.
Attendee
Typist
It depends on your workflow. Attendee is strong for developers embedding meeting recording and transcription into their own saas products, while Typist is strong for transcribing recorded interviews and research or client calls. Both transcribe and summarize meetings.
Attendee is a free tier with paid upgrades and Typist is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Yes. Many teams run more than one meeting assistant when the workflows are complementary.
More head-to-head comparisons involving Attendee and Typist.
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