Transcribe audio to text
Generate podcast audio from text or documents
Transcribe audio files to text
Transcribe audio to text
Transcribe audio to text using voice input
Generate transcript from audio input
Transcribe spoken words into text
Transcribe audio files to text
Transcribe audio recordings to text
Transcribe audio to text
This is for now working on telugu s2t transcriptions.
Transcribe audio recordings into text
Generate a 2-speaker podcast from text input or documents!
Openai Whisper Large V3 Turbo is a state-of-the-art AI model developed by OpenAI, designed for high-accuracy speech-to-text transcription. It is optimized for transcribing audio from various sources, including podcasts, conversations, and other spoken content. Whisper Large V3 Turbo builds on the success of previous Whisper models, offering improved performance, faster processing, and enhanced accuracy for complex audio inputs.
pip install openai
.from openai import OpenAI
client = OpenAI() # Initialize with your API key
transcribe
method, specifying the audio file and model.
audio_file = "audio.mp3"
response = client.transcribe("whisper-1", audio_file)
What languages does Openai Whisper Large V3 Turbo support?
Openai Whisper Large V3 Turbo supports transcription in multiple languages, including English, Spanish, French, German, Italian, Portuguese, Dutch, Russian, and many others.
Can Openai Whisper Large V3 Turbo transcribe real-time audio?
Yes, Openai Whisper Large V3 Turbo is capable of real-time transcription, making it suitable for live conversations, meetings, or events.
What makes Openai Whisper Large V3 Turbo different from other models?
Openai Whisper Large V3 Turbo offers superior accuracy, faster processing speeds, and enhanced speaker identification compared to earlier versions or smaller models, making it ideal for complex transcription tasks.