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Whisper ASR Webservice
Whisper ASR Webservice is a Docker-based speech recognition toolkit that provides a REST API to perform audio transcription, translation, and language identification.
Whisper ASR Webservice acts as a wrapper for various speech-to-text models, allowing users to deploy them via Docker containers. It supports multiple engines such as OpenAI Whisper, Faster Whisper, and WhisperX to handle transcription tasks. The service integrates with FFmpeg to process a wide range of audio and video formats. It provides a REST API, complete with Swagger documentation, for interacting with the service. Users can configure model selection, device utilization, and idle timeouts through environment variables. This tool is designed for developers who need to deploy speech recognition capabilities into their own infrastructure.
Whisper ASR Webservice at a glance
Key features
- Supports OpenAI Whisper, Faster Whisper, and WhisperX engines
- Outputs text, JSON, VTT, SRT, and TSV formats
- Enables word-level timestamps
- Performs voice activity detection filtering
- Supports speaker diarization via WhisperX
- Integrates FFmpeg for audio and video format support
- Provides GPU acceleration
- Includes REST API with Swagger documentation
Use it for
- Transcribing audio and video files
- Translating speech between languages
- Identifying spoken languages
- Generating captioned subtitle files
Alternatives to Whisper ASR Webservice
- WhisperLive — It provides real-time speech-to-text using multiple backends like Faster Whisper and TensorRT.
- browser-whisper — Transcribes audio and video locally with zero servers involved.
- faster-whisper — Transcribes audio faster with lower memory usage than standard implementations.
- whisper.cpp — It provides high-performance, offline speech recognition on diverse hardware.
- Whisper Diarization — Combines OpenAI Whisper with voice activity detection and speaker embedding.
- Whisper Timestamped — Generates accurate word-level timestamps without extra neural networks.
- WhisperLiveKit — It delivers ultra-low-latency streaming audio processing with multiple advanced backends.
- AssemblyAI — Industry-leading speech models deliver high accuracy and low latency for voice applications.
- WeNet — Achieves state-of-the-art results on public speech datasets.
- FunASR — It supports offline, streaming, and edge deployment with multiple models.
- Vosk — It enables offline, low-latency speech recognition on small devices.
- Speech-to-Speech — Fully modular, swappable components with local or hosted execution options.
All Whisper ASR Webservice alternatives