WHISPER
Transcribe 150 minutes of audio in 100 seconds with Incredibly Fast Fhisper
Avg Run Time: 11.000s
Model Slug: incredibly-fast-whisper
Playground
Input
Enter a URL or choose a file from your computer.
Invalid URL.
audio/mp3, audio/wav, audio/m4a (Max 50MB)
Output
Example Result
Preview and download your result.
API & SDK
Create a Prediction
Send a POST request to create a new prediction. This will return a prediction ID that you'll use to check the result. The request should include your model inputs and API key.
Get Prediction Result
Poll the prediction endpoint with the prediction ID until the result is ready. The API uses long-polling, so you'll need to repeatedly check until you receive a success status.
Readme
Overview
Insanely Fast Whisper is a state-of-the-art, high-performance speech-to-text model optimized for lightning-fast transcription and multilingual capabilities. It is based on OpenAI's Whisper model but has been significantly optimized for speed and efficiency, making it ideal for real-time transcription and large-scale audio processing tasks.
Technical Specifications
Baic Model : OpenAI Whisper Large v3.
Optimizations:
- Inference speed increased through model quantization and architectural improvements.
- Reduced latency for real-time use cases.
- Language Support: Over 50 languages, including English, Spanish, Mandarin, and Arabic
Key Considerations
Audio Quality Matters:
- Low-quality audio with excessive noise or low bitrates can reduce transcription accuracy.
Multilingual Transcription:
- Audio in mixed languages may require manual post-editing for perfect accuracy.
Tips & Tricks
Use Timestamps:
- Leverage JSON output for detailed analysis, including word-level timestamps.
Custom Fine-Tuning:
- Fine-tune the model with domain-specific datasets for industry-specific transcription needs.
Real-Time Applications:
- Pair with streaming services to transcribe live events or meetings.
Capabilities
Real-Time Transcription: Ideal for live meetings, conferences, and events.
Multilingual Transcription: Handles different languages and accents seamlessly.
Noise Tolerance: Performs well even with moderate background noise.
Timestamps: Includes word-level timestamps for precise tracking.
Customizability: Supports fine-tuning for specialized use cases..
What Can I Use It For?
Content Creation: Generate subtitles or transcribe interviews and podcasts.
Live Captions: Provide accessibility for live streams or webinars.
Customer Support: Transcribe call center conversations for analysis and insights.
Education: Create transcriptions of lectures, workshops, or training sessions.
Research: Process large volumes of audio data for linguistic or market analysis.
Meeting Transcripts: Quickly document long meetings or lectures with accurate transcripts.
Things to Be Aware Of
Transcribe a Podcast:
- Input: A one-hour podcast with clear audio.
- Output: A detailed transcript with timestamps.
Live Streaming:
- Integrate the model with live video streams for real-time captions.
Multilingual Scenarios:
- Transcribe an audio file containing English, Spanish, and German segments.
Interactive Applications:
- Use the model to power speech-to-text features in an application.
Noisy Audio Files:
- Test its capabilities by transcribing moderately noisy recordings (e.g., outdoor interviews).
Limitations
Accuracy Variations:
- Heavily accented or fast speech may slightly reduce transcription quality.
Challenging Audio Scenarios:
- Overlapping speakers may require additional tools to track speaker activity.
Language Specificity:
- Clear language settings are necessary for accurate multilingual transcription.
Maximum Audio Length:
- While the tool can process long audio files, it supports recordings up to 90 minutes. Extremely long recordings may require significant computational resources.
Supported Formats:
- Supports WAV, MP3, and M4A audio formats; ensure compatibility before processing.
Known Limitations:
- Performance may vary depending on hardware capabilities and the complexity of the audio content.
Output Format: TEXT
Pricing
Pricing Detail
This model runs at a cost of $0.001080 per second.
The average execution time is 11 seconds, but this may vary depending on your input data.
The average cost per run is $0.011880
Pricing Type: Execution Time
Cost Per Second means the total cost is calculated based on how long the model runs. Instead of paying a fixed fee per run, you are charged for every second the model is actively processing. This pricing method provides flexibility, especially for models with variable execution times, because you only pay for the actual time used.
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