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WHISPER API

Whisper inference, no GPU required.

Send audio, get a transcript, with no GPU to manage. Whisper Large v3 and V3 Turbo behind an OpenAI-compatible endpoint, so existing transcription calls keep working.

Hand this to your agent

Add a Runcrate model to this project: run curl -fsSL"https://runcrate.ai/agents.md?intent=build"and follow it.

Your agent asks for an API key. Create a key

Works inClaude CodeCodexOpenCodeClineRoo CodeKilo CodeCursor
Turbo price$0.00021 per minute
Languages100+
Max file size25MB

Quick start

Hand it to your agent. Or read the request it sends.

Your agent writes and runs it. The same key works for every model and every GPU.

Docs
Transcribe every .mp3 in ./podcasts with Whisper Large v3 Turbo on Runcrate and save one .txt per file. Runs curl https://api.runcrate.ai/v1/audio/transcriptions \ -H "Authorization: Bearer rc_live_YOUR_API_KEY" \ -F model="openai/whisper-large-v3-turbo" \ -F file="@podcast.mp3".

Available models

Models you can call today. Billed prices, as charged.

ModelMakerPriceDetail
openai/whisper-large-v3OpenAI$0.000473 per minuteFull model, for critical transcription
openai/whisper-large-v3-turboOpenAI$0.00021 per minute8x faster inference, ideal for real-time
See every model price

Why Runcrate

Built for production. One key, one balance.

  • No GPU management

    Skip the CUDA setup, model loading, and GPU provisioning. Send a file, receive text. Runcrate handles the infrastructure.

  • Turbo mode

    Whisper Large v3 Turbo delivers results 8x faster than the full model with near-identical word error rates. Pay less, get results faster.

  • Automatic language detection

    Whisper auto-detects the spoken language from 100+ options. No need to specify the language parameter for most use cases.

  • Parallel requests

    Send files in parallel. Each request is billed on its own at the model's listed per-minute price.

FAQ

Common questions.