Attendee: Open-source, self-hostable meeting bot API that sends bots into Zoom, Google Meet, and Microsoft Teams to capture recordings and transcripts. Scrib: India-built AI transcription tool for 22 Indian languages plus global languages, with speaker labels, summaries, and meeting-bot capture for Zoom, Meet, and Teams. The right pick comes down to team size, budget, and the workflows you want to automate.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Attendee when developers embedding meeting recording and transcription into their own saas products matters most, and Scrib when producing transcripts and subtitles for interviews, podcasts, and recorded sessions in indian languages 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.
India-built AI transcription tool for 22 Indian languages plus global languages, with speaker labels, summaries, and meeting-bot capture for Zoom, Meet, and Teams.
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
Scrib is an India-based AI transcription platform (its site states it is "Made with love in India") focused on converting speech to text across Indian and global languages. It supports 22 Indian languages including Hindi, Tamil, Telugu, Bengali, Gujarati, Kannada, Malayalam, Marathi, Punjabi, Urdu, Nepali, Odia, Assamese, and others, alongside 19 global languages, and it is designed to handle code-switching such as Hindi-English (Hinglish) speech within a single recording. Users can transcribe in several ways: uploading audio and video files (MP3, MP4, WAV, M4A, WEBM), recording live from a microphone, pasting links from sources like YouTube, Loom, Google Drive, and Dropbox, or using a meeting bot that joins Zoom, Google Meet, and Microsoft Teams calls to capture and transcribe conversations automatically. Beyond raw transcripts, Scrib offers automatic speaker recognition with per-speaker labels and timelines, AI-generated summaries, chapters, key insights, and action items, plus inline editing with click-to-seek playback. Transcripts can be exported to TXT, SRT, VTT, JSON, DOCX, and PDF. The platform includes a free monthly tier and paid plans, and stores audio encrypted on Cloudflare R2. The site is live and operating, citing hundreds of thousands of hours transcribed. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Attendee is a free tier with paid upgrades (freemium); Scrib is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Attendee | Scrib |
|---|---|---|
| Core capability | Unified REST API for deploying bots to Zoom, Google Meet, and Microsoft Teams | Transcription across 22 Indian languages plus 19 global languages, with Hindi-English code-switching support |
| Standout feature | Meeting recording and transcript retrieval through API endpoints | Multiple capture methods: file upload, live microphone recording, link pasting (YouTube, Loom, Drive, Dropbox), and a meeting bot |
| Team usage | Real-time media pipeline with websocket audio input/output | Meeting bot that joins Zoom, Google Meet, and Microsoft Teams to transcribe calls automatically |
| Integrations | Webhooks for event-driven workflows | Automatic speaker recognition with per-speaker labels and timelines |
| Languages & capture | Calendar integration and scheduled-meeting support | AI-generated summaries, chapters, key insights, and action items |
| Best-fit workflow | Single Docker image self-hosting built on Django, PostgreSQL, and Redis | Inline transcript editing with click-to-seek playback |
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.
Scrib
Choose Scrib if you need transcribing multilingual or hinglish team meetings captured live or via the zoom/meet/teams bot — strengths include strong coverage of indian languages and hinglish code-switching that many global tools handle less reliably.
Attendee
Scrib
It depends on your workflow. Attendee is strong for developers embedding meeting recording and transcription into their own saas products, while Scrib is strong for transcribing multilingual or hinglish team meetings captured live or via the zoom/meet/teams bot. Both transcribe and summarize meetings.
Attendee is a free tier with paid upgrades and Scrib 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.
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