Build an AI meeting notetaker without building bot infrastructure

Why teams stop building meeting bots in-house

A meeting bot looks simple from the outside: join the call, capture the media, leave. In practice you end up maintaining headless clients for three different platforms, each with its own join flows, media formats, and undocumented quirks that change without notice. Zoom, Google Meet, and Microsoft Teams all break in different ways, and every break is a support ticket from a customer whose meeting silently went unrecorded.

That is why most notetaker teams eventually move to a meeting bot API. The infrastructure problem is already solved, monitored, and kept current across all three platforms, and your engineers go back to building summaries, search, and the features users actually pay for. More than 30 AI products already run on MeetStream in production.

Everything a notetaker needs, from one integration

MeetStream returns the full set of raw materials a notetaker is built from, so you never have to stitch together separate vendors for recording, transcription, and metadata.

If a transcript needs another pass, you can re-trigger transcription on the stored recording at any time. In-house transcription is available as an add-on when you want one vendor for the whole pipeline.

• MP4 recordings of the full meeting, plus per-participant audio and video files
• Real-time transcripts with speaker identification streamed to your webhook, and async transcripts after the call
• Meeting metadata: participants, join and leave times, who hosted, and which platform
• Chat access, so your bot can read the in-meeting conversation or post a note when it joins

Ship it with one API call

Getting a bot into a meeting is a single POST request with the meeting URL. The bot joins Zoom, Google Meet, or Microsoft Teams within seconds, with no host permission and no paid meeting plan required on the account hosting the call.

Webhook notifications keep your backend in sync through the whole lifecycle: bot joined, recording started, meeting ended, media ready. Your notetaker logic stays event driven and stateless.

$ curl -X POST \
    https://api.meetstream.ai/api/v1/bot \
    -H "Authorization: Bearer $API_KEY" \
    -d '{"url": "zoom.us/j/74648392"}'

Auto-join every meeting with calendar integration

Notetakers live or die on coverage. The calendar integration API connects to Google and Outlook calendars and schedules bots automatically for upcoming meetings, up to three months ahead. Once a user connects their calendar, every future call is captured without anyone pasting a link, and your product feels like it simply shows up.

From raw transcript to notes people actually read

Because transcripts arrive already segmented by speaker, your summarization layer starts from clean structure instead of a wall of text. Feed diarized segments to the LLM of your choice to produce summaries, decisions, and action items with correct attribution, then link each item back to its timestamp in the recording.

Per-participant audio gives you a quality lever too. When one speaker matters most, you can process just that stream instead of the mixed track.

Your customers' meetings, handled carefully

Meeting content is sensitive by default. MeetStream encrypts data in transit and at rest, is ISO 27001 certified and GDPR compliant, and is under audit for SOC 2 Type 2. If you would rather keep recordings entirely inside your own infrastructure, bring your own S3 bucket and media lands there directly.

How it works

1. Send a POST request with the meeting URL, and a bot joins the Zoom, Google Meet, or Microsoft Teams call.
2. Receive real-time transcript segments with speaker labels at your webhook while the meeting runs.
3. When the call ends, fetch the MP4 recording, per-participant audio, and meeting metadata.
4. Run your summarization pipeline and deliver polished notes to your users.

Frequently asked questions