Meeting BaaS (formerly Spoke.ai)

Meeting BaaS (formerly Spoke.ai)

Meeting BaaS sends bots into Zoom, Google Meet, and Microsoft Teams calls to record, transcribe, and summarize meetings through a developer API. You POST a meeting URL, the bot joins automatically, and your backend receives recordings, transcripts, speaker diarization, and metadata via webhooks.

Recall.ai and similar meeting-bot APIs charge enterprise rates with opaque pricing. Meeting BaaS starts free with 8 hours of recording and scales at $0.35 per hour on pay-as-you-go, with a Speaking Bots API that streams audio to your LLM in real time so the bot can respond during the call rather than only after it ends.

SaaS teams, sales intelligence platforms, and internal tooling groups use Meeting BaaS to build AI meeting assistants, automate post-call summaries, and analyze customer conversations at scale. The TypeScript SDK, MCP tools, and self-hosting option let you embed meeting capture without building bot infrastructure from scratch.

Top Features:
  1. Unified API for Zoom, Google Meet, and Microsoft Teams with one bot deployment call

  2. Gladia-powered transcription with speaker diarization and timestamps included

  3. Speaking Bots API streams meeting audio to your LLM and speaks replies back live

  4. Free tier: 75 bots per day and 8 hours of meeting recording at no cost

  5. Webhooks deliver recordings, transcripts, and metadata to your backend automatically

  6. TypeScript SDK with v2 client for type-safe bot creation and error handling

  7. Self-hosting option when you need full control over meeting data storage

Pros:
  1. Single API covers Zoom, Google Meet, and Microsoft Teams without separate integrations

  2. Free tier includes 8 hours of recording and 75 daily bot deployments

  3. Speaking Bots API enables live LLM interaction during meetings, not just post-call summaries

  4. Open-source codebase with self-hosting option for data-sensitive deployments

  5. Gladia transcription with speaker diarization included out of the box

Cons:
  1. Developer-focused API requires engineering integration rather than a plug-and-play UI

  2. Free tier retains data for only 3 days before deletion

  3. Bring-your-own transcription key requires Pro plan at $99 per month or higher

  4. Consumer Spoke.app meeting assistant features are now part of the BaaS platform, not a standalone app

FAQs:

What platforms does Meeting BaaS support?

Meeting BaaS supports Zoom, Google Meet, and Microsoft Teams through a single API. You send a meeting URL and Meeting BaaS deploys a bot that joins, records, and transcribes the call on any of the three platforms.

Is Meeting BaaS free to start?

Yes. Meeting BaaS Pay as You Go is free and includes 75 bots per day, 2 calendar integrations, 3-day data retention, and up to 8 hours of meeting recording. Paid plans start at $99 per month for Pro.

How much does Meeting BaaS cost?

Meeting BaaS Pro costs $99 per month with 300 bots per day. Scale is $199 per month with 1,000 bots per day. Enterprise is $299 per month with 3,000 bots per day. Pay-as-you-go recording also runs $0.35 per hour.

Does Meeting BaaS provide meeting transcripts?

Yes. Meeting BaaS includes full meeting transcription powered by Gladia with speaker diarization and timestamps. You can also bring your own transcription key on Pro plans and above through Meeting BaaS.

Can Meeting BaaS bots speak during a call?

Yes. Meeting BaaS Speaking Bots API streams audio to your LLM in real time and delivers the model's reply back into the live meeting. This lets you build agents that act during the call, not just summarize afterward.

How do I integrate Meeting BaaS?

Meeting BaaS offers a REST API, TypeScript SDK, and MCP tools. Create a bot with createBaasClient from @meeting-baas/sdk, pass your meeting URL, and receive recordings and transcripts through webhooks documented at docs.meetingbaas.com.

Category:

Pricing:

Freemium

Tags:

Meeting Transcription
Meeting Bot API
Speaker Diarization
Webhook Delivery
Zoom Integration
Google Meet
Microsoft Teams
Content Summary

Tech used:

Next.js
React
Chakra UI
Google Cloud
Google Fonts
Webpack
Emotion

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