Prompt

real time speech to text api

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

Latest observation

Oct 11, 2026OpenAI APIWeb search: off

If you want real-time speech-to-text (STT) APIs, here are some good options:

Popular real-time STT APIs

  1. OpenAI Realtime / Transcription

    • Best for low-latency streaming use cases.
    • Supports live audio input and transcription.
    • Good if you also want conversation/agent features.
  2. Google Cloud Speech-to-Text

    • Strong streaming recognition.
    • Good accuracy and language support.
  3. Deepgram

    • Designed for real-time transcription.
    • Very low latency, easy streaming API.
  4. AssemblyAI

    • Streaming transcription available.
    • Good developer experience and extra features like summarization.
  5. Azure Speech to Text

    • Reliable streaming STT.
    • Good for Microsoft ecosystem.
  6. AWS Transcribe Streaming

    • Real-time transcription from live audio.
    • Fits well if you already use AWS.

Common choices by use case

  • Lowest latency / live captions: Deepgram, OpenAI Realtime
  • Enterprise cloud ecosystem: Google, Azure, AWS
  • Extra NLP features: AssemblyAI
  • Custom voice agent apps: OpenAI Realtime

Example architecture

  • Capture microphone audio in browser/app
  • Stream audio chunks over WebSocket/WebRTC
  • Receive partial transcripts in real time
  • Finalize transcript when speech ends

If you want to build it

I can help you with:

  • a WebSocket streaming STT example
  • browser JavaScript
  • Python backend
  • Node.js backend
  • React live transcription UI

If you want, I can also recommend the best API for your exact use case.

Observation history

How did Obsurfable measure this prompt?

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.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

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