Whisper Large V3 API
Released November 2023 | 30 Sec/Chunk context | 1.55B params parameters
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())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()) Enterprise
Platform Integration
Docker Support
Official Docker images for containerized deployments
Kubernetes Ready
Production-grade KBS manifests and Helm charts
SDK Libraries
Official SDKs for Python, Javascript, Go, and Java
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