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Affordable transcription API with speaker diarization

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Speech-to-text API with speaker labels and [hh:mm:ss] timestamps out of the box, for $0.08 per audio hour. Send a public audio URL, get a diarized transcript.

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PH · launched Oct 28, 2026 · 2 upvotes (top 23%)

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Could you build this?

Partial An API wrapping open speech models with diarization and timestamps is buildable, but pricing at $0.08 per hour requires GPU infrastructure optimization that a solo builder would struggle to achieve.

What it would actually take: The stack would combine an ASR model such as Whisper with a speaker diarization model like pyannote, served behind a job queue and an API. The hard part is running it at very low per-hour cost, which means batching, GPU utilization tuning, and model optimization. That requires ML infrastructure experience and capacity planning.

Competitors

Other products that read as similar to this one : 344 launches clear the similarity bar, closest 8 shown.

Attention rank: #66 of 345 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 355 days after the earliest competitor.

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