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Speech-to-text with Whisper-class models
Guides 8 min read· 31 Jul 2026· By Guides

Speech-to-text with Whisper-class models

Practical transcription: chunking, diarization, and cost per minute.

Transcription is one of the highest ROI AI features you can add. Meeting notes, voice memos, podcast search — all unlocked by a single endpoint.

The call#

python
audio = open("meeting.mp3", "rb")
r = client.audio.transcriptions.create(model="whisper-large-v3", file=audio)

Chunking long files#

Anything over 25MB should be split at silence boundaries. Overlap chunks by 2s to preserve word boundaries.

Cost: about ₹0.30 per minute of audio on Whisper large.

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