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Get speaker-attributed transcription in one API call
Associate timestamps directly with speaker-attributed text, improving synchronization between diarization and transcription.
Feed speaker-attributed transcripts straight into your stack
Each segment carries its speaker and timing, ready for LLM summaries, QA scoring, and conversation analytics.
Reduce pipeline complexity and ambiguous segments
Automatically reconcile STT and diarization outputs, removing the need for separate forced alignment.
Save time and resources
Reduce timestamp reconciliation work, misattributed segments, and speaker identification errors.
Made for developers and Voice AI pipelines
Easy to integrate with existing workflows, our API is compatible with all tech stacks and protocols.
Deliver consistent results in any audio condition
Enhance conversation understanding in every scenario, our models maintain high accuracy results even in noisy, accented, or overlapping speech.
