This is the Linux app named WhisperLive whose latest release can be downloaded as v0.7.1sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named WhisperLive with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.
- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application, install it and run it.
SCREENSHOTS
Ad
WhisperLive
DESCRIPTION
WhisperLive is a “nearly live” implementation of OpenAI’s Whisper model focused on real-time transcription. It runs as a server–client system in which the server hosts a Whisper backend and clients stream audio to be transcribed with very low delay. The project supports multiple inference backends, including Faster-Whisper, NVIDIA TensorRT, and OpenVINO, allowing you to target GPUs and different CPU architectures efficiently. It can handle microphone input, pre-recorded audio files, and network streams such as RTSP and HLS, making it flexible for live events, monitoring, or accessibility workflows. Configuration options let you control the number of clients, maximum connection time, and threading behavior so the server can be tuned for different deployment environments. On the client side, you can set the language, whether to translate into English, model size, voice activity detection, and output recording behavior.
Features
- Real-time Whisper transcription server with Python client for low-latency speech-to-text
- Multiple backends supported (Faster-Whisper, TensorRT, OpenVINO) for GPU and CPU acceleration
- Handles microphone, local audio files, RTSP streams, and HLS audio sources
- Optional translation mode to translate input speech into a target language
- Browser extensions for Chrome and Firefox plus an iOS client for direct device integration
- Docker-friendly deployment and tunable concurrency options (max clients, connection time, threads)
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/whisperlive.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
