Best meeting transcription APIs (2026)

You’re choosing a transcription API and the vendor list reads like two different product categories wearing the same label. Recall.ai and the Nylas Notetaker API send a bot into a live call and hand back recording and transcript. AssemblyAI and Deepgram take an audio file or stream you already captured and return text. Fireflies started as a consumer notetaker and added an API later. Picking the wrong camp means building the recording layer that the other camp gives you for free.

This guide compares developer transcription and notetaker APIs in 2026 on the four things that decide the build: bot-based recording, calendar-driven join, transcript and media retrieval, and webhooks. It’s honest about when a speech-to-text engine is the right call instead of a meeting bot.

Meeting transcription APIs compared

A meeting transcription API either captures the call for you or transcribes audio you already have. The Nylas Notetaker API sits in the first group: one POST /v3/grants/{grant_id}/notetakers call sends a bot to a Zoom, Microsoft Teams, or Google Meet link, records it, transcribes it, and returns the media behind signed URLs. The same grant already syncs calendars, so a booked event can record itself.

The split matters because it changes what you build. Bot-based platforms like Recall.ai and the Notetaker API own the join, capture, and admission logic. Speech-to-text engines like AssemblyAI and Deepgram are excellent at turning audio into accurate text, but you bring the audio, which on a live meeting means writing your own recorder first. Fireflies and similar notetaker apps expose an API on top of a finished product, so the transcript shape often follows their UI. The table below maps each approach to the recording-and-transcript work a typical integration needs.

Capability	Recall.ai	AssemblyAI	Deepgram	Fireflies	Nylas Notetaker API
Bot joins the call	Yes	No (audio in)	No (audio in)	Yes	Yes, through `meeting_link`
Create a bot	`POST /api/v1/bot`	n/a	n/a	App-first	`POST /v3/grants/{grant_id}/notetakers`
Calendar-driven join	Add-on	No	No	Built-in	Built-in calendar sync from the grant
Transcript + media retrieval	Bot endpoints	Transcript object	Transcript JSON	Transcript object	`GET /v3/grants/{grant_id}/notetakers/{notetaker_id}/media`
Webhooks	Yes	Yes	Yes	Yes	5 triggers, including `notetaker.media`
Beyond transcription	Meeting bots only	Audio intelligence	Speech models	Notes product	Email, calendar, contacts on the same grant

What are the best AI tools for meeting notes and transcription in 2026?

The best meeting-notes tools in 2026 split by who controls the recording. If you want a finished app, Fireflies, Otter, and similar products record and summarize calls with no code. If you’re a developer embedding transcription in your own product, the choice narrows to bot-based APIs like Recall.ai and the Nylas Notetaker API, or speech engines like AssemblyAI and Deepgram that need audio you already captured.

For a built product, the deciding factor is output control. The Notetaker API returns a speaker-labelled JSON transcript with start and end times, an MP4 recording, plus summary and action_items objects, so you render your own captions and search by timestamp instead of inheriting a vendor’s UI. It joins all 3 platforms, Zoom, Microsoft Teams, and Google Meet, through one schema. The bot’s display name defaults to “Nylas Notetaker” and you override it with the name field. The Notetaker API guide covers the full settings reference.

Which AI meeting transcription tools offer a developer API?

Recall.ai, AssemblyAI, Deepgram, Fireflies, and the Nylas Notetaker API all expose a developer API, but they aren’t interchangeable. Two of them, Recall.ai and the Notetaker API, send a bot that joins and records the call. Two, AssemblyAI and Deepgram, transcribe audio you supply. Fireflies wraps an API around a consumer notetaker product, so its API inherits that product’s assumptions.

The request below creates a recording bot and enables every output. It targets the grant-scoped create endpoint, which ties the recording to an authenticated user; the standalone POST /v3/notetakers works the same way without a grant. The default leave_after_silence_seconds is 300, so the bot leaves after 5 minutes of silence. If nobody admits the bot, the join times out after 10 minutes.

curl --request POST \
  --url 'https://api.us.nylas.com/v3/grants/<NYLAS_GRANT_ID>/notetakers' \
  --header 'Authorization: Bearer <NYLAS_API_KEY>' \
  --header 'Content-Type: application/json' \
  --data '{
    "meeting_link": "https://meet.google.com/abc-defg-hij",
    "name": "Recorder",
    "meeting_settings": {
      "video_recording": true,
      "audio_recording": true,
      "transcription": true,
      "summary": true,
      "action_items": true
    }
  }'

from nylas import Client

nylas = Client(api_key="<NYLAS_API_KEY>")

notetaker = nylas.notetakers.invite(
    request_body={
        "meeting_link": "https://meet.google.com/abc-defg-hij",
        "name": "Recorder",
        "meeting_settings": {
            "video_recording": True,
            "audio_recording": True,
            "transcription": True,
            "summary": True,
            "action_items": True,
        },
    },
    identifier="<NYLAS_GRANT_ID>",
)

print(notetaker.data.id, notetaker.data.state)

The toggles in meeting_settings have dependencies: transcription requires recording on, and summary and action_items each require transcription.

Which transcription APIs work best with Google Calendar scheduling?

Transcription APIs that work with Google Calendar scheduling read the calendar event, find the meeting link, and dispatch a bot automatically. The Nylas Notetaker API does this from the same grant that already syncs the user’s calendar, so a booked Google Meet, Zoom, or Microsoft Teams event records itself with no separate bot scheduling. Standalone speech engines like AssemblyAI and Deepgram have no calendar layer, so you’d build that yourself.

Calendar-driven join removes the most error-prone step in a recording integration: getting the right bot to the right meeting at the right time. Because the grant reads events through GET /v3/grants/{grant_id}/events?calendar_id=<CALENDAR_ID>, your code can detect a new meeting and create a Notetaker before it starts. You can also list recorded bots by time window using the join_time_start and join_time_end query parameters on GET /v3/grants/{grant_id}/notetakers. Recall.ai offers calendar integration as an add-on; with the unified grant it’s part of the same authentication you already have.

How do I retrieve the transcript and recording?

Send a GET to /v3/grants/{grant_id}/notetakers/{notetaker_id}/media once the bot reaches the available state. The response returns one object per enabled output: recording, transcript, summary, and action_items, each with a pre-authenticated download url. Every signed URL is valid for 60 minutes from generation, so pull the bytes onto your own storage promptly.

The call below fetches media for a finished meeting. It’s read-only, so calling it again mints fresh signed URLs with a new 60-minute window, which is how you refresh an expired link rather than reusing the old one. The recording object also includes a duration in seconds and the file size in bytes. Nylas keeps the underlying files for a maximum of 14 days (until the expires_at timestamp), then deletes them, so download anything you need to retain.

Treat these signed URLs like bearer credentials: anyone holding one can download the file until it expires. Don’t expose them in a frontend network tab. Proxy the download through your backend, then put access control in front of the stored files. The get the transcript and recording recipe documents every media field.

How do webhooks tell me a recording is ready?

The Notetaker API exposes 5 webhook triggers, and notetaker.media is the one that signals a ready recording. It fires once each output file finishes processing, a few minutes after the bot leaves, and carries the same download URLs the media endpoint returns. Subscribe to it instead of polling, and you react in seconds rather than spending requests on empty responses.

The full set is notetaker.created, notetaker.updated, notetaker.deleted, notetaker.meeting_state, and notetaker.media. The meeting_state events track the bot through join, attend, and processing, which is handy for a live “recording in progress” indicator. Because the signed URLs in the payload still expire after 60 minutes, treat the webhook as a trigger to fetch and store the files right away, not as long-term storage. AssemblyAI, Deepgram, and Recall.ai all offer webhooks too; the difference here is that the same /v3/webhooks subscription also delivers email and calendar events from the same project.

When should you use a speech-to-text engine instead?

Use a speech-to-text engine like AssemblyAI or Deepgram when you already have the audio and a meeting bot would add nothing. If you’re transcribing podcasts, phone calls through your own telephony stack, or uploaded recordings, those engines give you word-level timestamps, diarization, and audio-intelligence features that a meeting-bot API doesn’t try to match. Bringing your own audio is the whole point there.

It’s a different story when the audio lives inside a live Zoom, Microsoft Teams, or Google Meet call you don’t control. Capturing that yourself means writing a separate bot for each platform and handling three admission flows before any transcription runs. The Notetaker API does the join and capture, then transcribes, so one integration covers all 3 platforms. Coverage and rate limits vary by vendor and change often, so price the shortlist against each one’s live documentation. For a focused comparison against the leading meeting-bot vendor, see the Recall.ai alternative guide.

What’s next

Notetaker API guide for bot creation, the meeting_settings object, and every webhook trigger
Recall.ai alternative for a direct comparison with the leading meeting-bot platform
Get the transcript and recording for the media response shape and the signed-URL download pattern
Getting started with Nylas to create a project, connector, and your first grant