Comment Comment by chainyo - Open-source: Our project is open-source and based on open-source libraries, allowing you to customize and extend it as needed.- Fast: The faster-whisper library and CTranslate2 make audio processing incredibly fast compared to other implementations.- Easy to deploy: You can deploy the project on your workstation or in the cloud using Docker.- Batch requests: You can transcribe multiple audio files at once because batch requests are implemented in the API.- Cost-effective: As an open-source solution, you won't have to pay for costly ASR platforms.- Easy-to-use API: With just a few lines of code, you can use the API to transcribe audio files or even YouTube videos. parent chainyo 3 years ago
- Fast: The faster-whisper library and CTranslate2 make audio processing incredibly fast compared to other implementations.
- Easy to deploy: You can deploy the project on your workstation or in the cloud using Docker.
- Batch requests: You can transcribe multiple audio files at once because batch requests are implemented in the API.
- Cost-effective: As an open-source solution, you won't have to pay for costly ASR platforms.
- Easy-to-use API: With just a few lines of code, you can use the API to transcribe audio files or even YouTube videos.