Whisper, an AI model that converts speech from audio files into text, has a wide range of potential use cases for a technical audience. One such use case is transcription services, where Whisper can automate the process of transcribing recorded audio files, saving both time and effort. Another use case is in voice assistants, where Whisper can enhance the accuracy and responsiveness of these AI-powered assistants by converting spoken language into text that can be easily processed and understood. Additionally, Whisper can be integrated into speech-to-text software, enabling real-time transcription of audio streams for applications such as live captioning, dictation, and language learning tools. With its ability to accurately and flexibly transcribe spoken language, Whisper opens up possibilities for innovative products and practical uses in industries such as telecommunication, media, education, and customer service.
- Cost per run
- Avg run time
- Nvidia T4 GPU
|No other models by this creator|
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Summary of this model and related resources.
Convert speech in audio to text
|Model Link||View on Replicate|
|API Spec||View on Replicate|
|Github Link||View on Github|
|Paper Link||View on Arxiv|
How popular is this model, by number of runs? How popular is the creator, by the sum of all their runs?
How much does it cost to run this model? How long, on average, does it take to complete a run?
|Cost per Run||$0.01815|
|Prediction Hardware||Nvidia T4 GPU|
|Average Completion Time||33 seconds|