Who AI recommends, and when it changes.
Data as of Mar 30, 2026 · Based on 23 AI answers · A buyer need in Real-Time Speech-to-Text APIs. · See how Parse measures this
Between March 24 and March 30, is the most recommended real-time speaker diarization API by AI assistants, cited in 43.5% of recommendations. and follow as alternative choices, but the data firmly positions as the go-to option for accurate, streaming speaker attribution.
Where a different pick wins:
DeepgramDeepgram is cited for its ~250ms latency, targeting apps where speed is critical. · 1 source
Google Cloud STT v2 offers enterprise-grade, configurable diarization, as recommended on ChatGPT. · 1 source
GladiaGladia integrates Whisper and pyannote for a combined transcription and diarization API with streaming. · 2 sources
Recommendation share
AssemblyAI leads at 43% of AI recommendations; Deepgram follows at 13%.
By platform
Platforms disagree: AssemblyAI leads on Google AI Overviews, AmiVoice API on ChatGPT.
Representative prompts behind this market ranking, and how AI tends to answer.
Why here: Dominates recommendations with its streaming diarization model, praised for accuracy in noisy conditions and short segments. · 4 sources
Why here: Emphasized for low latency (~250ms), making it a strong choice for speed-sensitive applications. · 1 source
Why here: Often listed alongside AssemblyAI for its balanced performance and ease of integration. · 2 sources
“I'm looking for an API that provides real-time, accurate speaker diarization (who spoke when) from an audio stream.”
AI models list several APIs, with 
