Meeting Transcription API Comparison 2026: Gregnote vs Recall.ai vs Vexa

What to look for in a meeting transcription API

When you're building a product that needs meeting data — transcripts, recordings, speaker labels — you need an API that handles three things reliably: joining the meeting, transcribing the audio, and delivering the result. Getting any one of those wrong means your users notice.

Pricing models

Gregnote charges £0.50 per hour of captured audio. There are no seat fees, no monthly minimums, and no per-API-call charges. You pay for what you actually capture.

Most competitors charge per bot-minute with a minimum session fee, meaning a five-minute standup costs the same as a 30-minute meeting. At scale, flat-per-hour models win.

Platform support

Google Meet and Microsoft Teams are the two platforms that matter for most B2B software. Zoom's API policy has historically made third-party bots harder to build reliably. Gregnote supports Google Meet and Teams in production today, with Zoom in active development.

Webhook reliability

A webhook that fires once, on time, is not enough. Your server will go down. Requests will time out. A production-grade API must retry failed deliveries automatically and log every attempt so you can replay events you missed.

Gregnote retries at 1 m, 5 m, 30 m, and 2 h — four attempts after the initial delivery. Every attempt is logged in the dashboard with the response body and status code, and you can replay any event with one click.

Developer experience

The things that matter: a clear REST API, a stable webhook payload shape, HMAC signature verification, and an SDK that doesn't hide what's happening.

Gregnote exposes everything over plain HTTPS with predictable JSON payloads. No proprietary SDKs required. The signature format matches Stripe's — so any existing HMAC verification code your team has already written works immediately.

Summary

If you want the simplest path from meeting URL to diarised transcript in a webhook payload, Gregnote is the fastest to integrate and the most predictable to operate at scale.