Attendee: Open-source, self-hostable meeting bot API that sends bots into Zoom, Google Meet, and Microsoft Teams to capture recordings and transcripts. Notah: Notah is an AI meeting notes and transcription assistant built for Arabic and bilingual Arabic-English teams across the MENA region, turning conversations into searchable transcripts, summaries, and action items. This comparison weighs them on pricing, features, and everyday workflow fit.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Attendee when developers embedding meeting recording and transcription into their own saas products matters most, and Notah when organizations needing arabic-dialect-aware transcription and summaries for zoom, teams, meet, or webex calls 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.
Notah is an AI meeting notes and transcription assistant built for Arabic and bilingual Arabic-English teams across the MENA region, turning conversations into searchable transcripts, summaries, and action items.
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
Notah is an AI meeting assistant developed specifically for the Middle East and North Africa (MENA) region, with a stated focus on Arabic and bilingual Arabic-English teams in markets such as Saudi Arabia and the UAE. Rather than treating Arabic as an afterthought, the product positions itself around regional Arabic dialect coverage and Arabic-English code-switching, the kind of mixed-language conversations common in MENA business settings. Notah records meetings and voice notes and turns them into searchable transcripts, AI-generated summaries, extracted action items, and visual mind maps, creating a searchable record of decisions and follow-ups. It works through a Chrome extension and a web app that runs in desktop and mobile browsers, and supports both online and in-person meetings. According to its own site, Notah integrates with common conferencing platforms including Zoom, Microsoft Teams, Google Meet, and Webex, plus the Saudi work platform Beem, and connects to Google Calendar and Microsoft Outlook so it can join scheduled meetings. The company emphasizes regional considerations such as MENA data residency options and compliance with local data-protection expectations. Notah offers a free tier to get started, with paid plans available for additional capabilities. It is a live, operating product as of 2025/2026. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Attendee is a free tier with paid upgrades (freemium); Notah is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Attendee | Notah |
|---|---|---|
| Core capability | Unified REST API for deploying bots to Zoom, Google Meet, and Microsoft Teams | AI transcription of meetings and voice notes for Arabic, English, and mixed Arabic-English conversations |
| Standout feature | Meeting recording and transcript retrieval through API endpoints | AI-generated meeting summaries with extracted action items and key decisions |
| Team usage | Real-time media pipeline with websocket audio input/output | Searchable transcripts and meeting archive |
| Integrations | Webhooks for event-driven workflows | Mind map visualization of meeting content |
| Languages & capture | Calendar integration and scheduled-meeting support | Chrome extension plus web app for desktop and mobile browsers |
| Best-fit workflow | Single Docker image self-hosting built on Django, PostgreSQL, and Redis | Integrations with Zoom, Microsoft Teams, Google Meet, Webex, and the Beem platform |
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.
Notah
Choose Notah if you need bilingual arabic-english business teams in the mena region capturing meeting notes and decisions — strengths include purpose-built for arabic dialects and arabic-english code-switching, a gap in many global tools.
Attendee
Notah
It depends on your workflow. Attendee is strong for developers embedding meeting recording and transcription into their own saas products, while Notah is strong for bilingual arabic-english business teams in the mena region capturing meeting notes and decisions. Both transcribe and summarize meetings.
Attendee is a free tier with paid upgrades and Notah 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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