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const axios = require('axios').default;
const api = new axios.create({
baseURL: 'https://api.ai.cc/v1',
headers: { Authorization: 'Bearer ' },
});
const main = async () => {
const response = await api.post('/stt', {
model: 'openai/gpt-4o-transcribe',
url: 'https://audio-samples.github.io/samples/mp3/blizzard_unconditional/sample-0.mp3',
});
console.log('[transcription]', response.data.results.channels[0].alternatives[0].transcript);
};
main();
import requests
headers = {"Authorization": "Bearer "}
def main():
url = f"https://api.ai.cc/v1/stt"
data = {
"model": "openai/gpt-4o-transcribe",
"url": "https://audio-samples.github.io/samples/mp3/blizzard_unconditional/sample-0.mp3",
}
response = requests.post(url, json=data, headers=headers)
if response.status_code >= 400:
print(f"Error: {response.status_code} - {response.text}")
else:
response_data = response.json()
transcript = response_data["results"]["channels"][0]["alternatives"][0][
"transcript"
]
print("[transcription]", transcript)
if __name__ == "__main__":
main()
-
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Product Detail
🚀 Unlock Superior Speech-to-Text with GPT-4o Transcribe API
The GPT-4o Transcribe API from OpenAI represents a significant leap forward in speech-to-text technology. Built upon the powerful GPT-4o architecture, this model delivers exceptionally accurate audio transcriptions, outperforming previous iterations like Whisper. It's engineered to excel in diverse and challenging audio conditions, effortlessly handling various accents, noisy environments, and fluctuating speech speeds, making it the premier choice for robust and reliable transcription needs across numerous applications.
⚙️ Technical Specifications
- Architecture: Based on GPT-4o with advanced enhancements for superior audio processing.
- Context Window: Supports up to 16,000 tokens, enabling efficient processing of long audio inputs.
- Maximum Output Length: Up to 2,000 tokens per transcription session for comprehensive results.
- Training Data: Extensively pretrained on diverse, high-quality audio-centric datasets, meticulously prioritizing speech nuances and accuracy.
📈 Performance Benchmarks
- ✓ Superior WER: Demonstrates significantly lower Word Error Rate (WER) performance compared to OpenAI’s Whisper models across diverse benchmark datasets.
- ✓ Enhanced Multilingualism: Shows advanced language recognition capabilities, particularly for low-resource languages, outperforming other models in multilingual transcription scenarios.
- ✓ Unmatched Reliability: Sets new industry standards in transcription reliability and precision for critical real-world applications such as call centers, virtual meetings, and content creation.
💡 Key Features at a Glance
- ✓ High Accuracy: Delivers precise transcription even in complex noise and accent-filled environments.
- ✓ Long Context Capability: Processes extended audio inputs for detailed, comprehensive transcriptions.
- ✓ Robust Multilingual Support: Improved recognition and transcription across a wide array of languages.
- ✓ Real-time Transcription: Offers low-latency streaming options for immediate transcription needs.
- ✓ Highly Customizable: Adaptable with support for diverse audio input types and formats.
💰 GPT-4o Transcribe API Pricing
Experience cutting-edge transcription technology at an accessible rate: $5.25 per 1 million input tokens.
🎯 Practical Applications & Use Cases
- Customer Service: Accurate call transcription and detailed sentiment analysis.
- Meeting Productivity: Automated generation of meeting notes and summaries.
- Voice Control: Advanced voice command and control systems for various devices.
- Accessibility: Real-time captioning services for live events and media.
- Media & Content: Efficient content localization across multiple languages.
- Research & Analytics: Precise conversion of speech data for in-depth research and analytical studies.
💻 Code Sample
(Note: This is a placeholder for a specific code integration snippet.)
⚖️ Comparison with Leading Models
GPT-4o Transcribe vs. Whisper
GPT-4o Transcribe offers superior transcription logic due to its advanced contextual understanding, which significantly reduces errors and "hallucinations" sometimes present in Whisper. While Whisper remains a reliable option, it generally lags behind in performance for low-resource languages and highly challenging audio environments where GPT-4o Transcribe shines.
GPT-4o Transcribe vs. Google Speech-to-Text
In head-to-head comparisons, GPT-4o Transcribe consistently delivers a notably lower transcription error rate compared to Google Speech-to-Text, providing higher precision, especially for complex and nuanced audio inputs.
GPT-4o Transcribe vs. Deepgram
GPT-4o Transcribe leads with its exceptional accuracy and superior contextual awareness, effectively minimizing transcription errors and unintended interpolations. Deepgram remains a strong competitor, particularly for real-time applications where optimized speed is the primary focus.
❓ Frequently Asked Questions (FAQ)
Q1: What is GPT-4o Transcribe API?
A: It's OpenAI's advanced speech-to-text model built on the GPT-4o architecture, designed for highly accurate audio transcription across diverse conditions.
Q2: How does it compare to Whisper?
A: GPT-4o Transcribe offers superior contextual understanding, leading to fewer errors and "hallucinations" compared to Whisper, especially in challenging environments and for low-resource languages.
Q3: Can GPT-4o Transcribe handle multiple languages?
A: Yes, it boasts robust multilingual support with enhanced recognition capabilities for various languages, including those with limited data.
Q4: What are the key use cases for this API?
A: It's ideal for customer service call analysis, automated meeting notes, voice command systems, real-time captioning, content localization, and detailed research analytics.
Q5: Is real-time transcription supported?
A: Absolutely, GPT-4o Transcribe offers real-time transcription with low-latency streaming options, perfect for live applications.
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