Prompt

I’m building live meeting captions and need low latency plus webhook delivery. Which speech-to-text API should I look at?

Artificial Intelligence / Speech & Voice AI1 observationLast seen Oct 11, 2026

Latest observation

Oct 11, 2026OpenAI APIWeb search: off

If you need live meeting captions with low latency and webhook-style delivery, the main thing to look for is a provider that supports streaming speech-to-text plus real-time callbacks/events.

A few good options:

1. Deepgram

  • Strong choice for real-time captions
  • Very low latency streaming
  • Supports webhooks / callbacks and incremental transcript updates
  • Good if you want developer-friendly integration and fast turnaround

2. AssemblyAI

  • Supports streaming transcription
  • Has webhook-based completion events
  • Good transcription quality and useful extras like diarization and summarization
  • Often used when you want both real-time and post-processing features

3. Google Cloud Speech-to-Text

  • Solid streaming API and low latency
  • Best for scale and reliability
  • Webhook delivery is usually something you build yourself around the streaming results rather than getting it natively in the same way some newer APIs do

4. AWS Transcribe

  • Supports streaming transcription
  • Can work well for live captions
  • Integration is a bit more AWS-centric; webhook delivery is typically something you implement around the stream

5. Azure Speech to Text

  • Good real-time transcription
  • Strong enterprise fit
  • Webhook-style delivery usually requires your own orchestration

Quick recommendation

If your priority is:

  • lowest latency + easy streaming integration → Deepgram
  • streaming + webhooks + additional transcription features → AssemblyAI

If you want, I can also give you a side-by-side comparison of Deepgram vs AssemblyAI vs Google for:

  • latency
  • webhook support
  • pricing
  • diarization
  • punctuation/casing
  • speaker attribution

Observation history

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Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

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