Whisper Large v3 (Free)
Transcriptions
whisper-large-v3:free
Transcriptions
Whisper Large v3 is OpenAI’s state-of-the-art model for automatic speech recognition (ASR) and speech translation. Trained on over 5 million hours of labeled data, it demonstrates strong generalization across datasets and domains, excelling in zero-shot transcription and translation tasks.
Pricing
Pay-as-you-go rates for this model. More details can be found here.
Free
Capabilities
Input Modalities
Audio
Output Modalities
Text
Supported Parameters
Available parameters for API requests
Language
Usage Analytics
Token usage across the last 30 active days
Uptime
Reliability over the last 7 days
Not enough performance data to display charts
Code Example
Example code for using this model through our API with Python (OpenAI SDK) or cURL. Replace placeholders with your API key and model ID.
Basic request example. Ensure API key permissions. For more details, see our documentation.
from openai import OpenAI
client = OpenAI(base_url="https://api.naga.ac/v1", api_key="YOUR_API_KEY")
with open("audio.mp3", "rb") as f:
transcription = client.audio.transcriptions.create(
model="whisper-large-v3:free",
file=f,
prompt=None,
language=None,
)
print(transcription.text)