Prompt
Which audio intelligence API supports speaker attribution and searchable transcripts at large scale?
Latest observation
A few audio intelligence APIs support both speaker attribution and searchable transcripts at scale, but the best-known options are:
- AssemblyAI — offers speaker diarization, transcripts, and full-text search / searchable transcripts features, designed for large-scale audio processing.
- Deepgram — provides speaker diarization and highly searchable speech-to-text transcripts, with strong scalability and streaming support.
- Google Cloud Speech-to-Text and AWS Transcribe — both support speaker labeling/diarization and transcript search workflows, though “searchable transcripts” is often something you build on top of their output.
If you want the most direct fit for “speaker attribution + searchable transcripts at large scale,” AssemblyAI and Deepgram are usually the top answers.
If you want, I can also compare them on accuracy, pricing, latency, and scale.
Observation history
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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, and Meta AI.