Prompt

What AI API should I use for speech-to-text?

Artificial Intelligence / AI Platforms1 observationLast seen Oct 8, 2026

Latest observation

Oct 8, 2026OpenAI APIWeb search: off

If you want the safest default choice:

  • OpenAI Whisper API — strong accuracy, works well on messy audio, many languages, good general-purpose choice.

If you want alternatives depending on your needs:

  • Google Speech-to-Text — very good for enterprise/real-time streaming and phone/audio integration.
  • Deepgram — fast, developer-friendly, good streaming transcription.
  • AssemblyAI — easy API, good extras like summarization, diarization, and content analysis.
  • AWS Transcribe — solid if you’re already on AWS and want managed infrastructure.
  • Azure Speech to Text — strong enterprise option, especially in Microsoft ecosystems.

Quick recommendation:

  • Best overall general-purpose: OpenAI Whisper
  • Best streaming/real-time: Deepgram or Google
  • Best enterprise/cloud-native: AWS or Azure
  • Best if you need add-ons: AssemblyAI

If you tell me:

  1. whether you need live streaming or batch transcription,
  2. your budget, and
  3. the language(s) and audio quality,

I can recommend the best specific API for your 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.

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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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