Whisper Large V3

Whisper Large V3 API

Released November 202330 Sec/Chunk context1.55B params parameters

Documentation

Whisper V3 delivers high-accuracy speech recognition across 99 languages. Ideal for transcription, subtitles, and accessibility. Typical use cases include Meeting notes, Podcasts, and Customer support recordings. Standout strengths include Multilingual and Timestamp support. It is a practical choice for transcription, speech analytics, and voice-driven workflows where throughput and consistency both matter.

import requests import json url = "https://platform.qubrid.com/api/v1/qubridai/audio/transcribe" headers = { "Authorization": "Bearer QUBRID_API_KEY" } files = {"file": open("audio.wav", "rb")} data = {"model": "openai/whisper-large-v3"} response = requests.post(url, headers=headers, files=files, data=data) print(response.json())

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