Whisper Large V3

Whisper V3 delivers high-accuracy speech recognition across 99 languages. Ideal for transcription, subtitles, and accessibility.

OpenAI Audio 30 Sec/Chunk
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api_example.sh

curl -X POST "https://platform.qubrid.com/audio/transcribe" \
  -H "Authorization: Bearer $QUBRID_API_KEY" \
  -F "model=openai/whisper-large-v3" \
  -F "file=@<YOUR-AUDIO-COMPLETE-PATH>"

Technical Specifications

Model Architecture & Performance

Model Size 1.55B params
Context Length 30 Sec/Chunk
Quantization fp16
Tokens/Second 386
License MIT
Release Date November 2023
Developers OpenAI

Pricing

Pay-per-use, no commitments

Processing Rate $0.0017/Minute

API Reference

Complete parameter documentation

ParameterTypeDefaultDescription
taskselecttranscribeChoose whether to transcribe to the original language or translate to English.
languageselectenSelect the spoken language (auto-detect if unsure).
temperaturenumber0Controls randomness of output — 0.0 means deterministic.
initial_promptstringBusiness meeting conversationGuides the model to better understand the audio context.
word_timestampsbooleantrueReturn per-word timestamps for the transcription.
vad_filterbooleantrueTurn it on when you have long pauses or background noise. Leave off for tightly trimmed clips to save compute.
return_segmentsbooleantrueReturn transcription with time-segment metadata.
output_formatselectjsonChoose the transcription output format.

Explore the full request and response schema in our external API documentation

Performance

Strengths & considerations

StrengthsConsiderations
Multilingual
Timestamp support
Handles noisy input
Robust accuracy
Large model size
Slow for long files
Occasional misalignment

Enterprise
Platform Integration

Docker

Docker Support

Official Docker images for containerized deployments

Kubernetes

Kubernetes Ready

Production-grade KBS manifests and Helm charts

SDK

SDK Libraries

Official SDKs for Python, Javascript, Go, and Java

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