Project Title
vosk-api — Open Source Offline Speech Recognition API for Multiple Platforms
Overview
Vosk-api is an open-source offline speech recognition toolkit that supports over 20 languages and dialects. It offers continuous large vocabulary transcription, zero-latency response with streaming API, reconfigurable vocabulary, and speaker identification. Vosk-api is unique in its ability to scale from small devices like Raspberry Pi or Android smartphones to large clusters, making it versatile for various applications.
Key Features
- Supports 20+ languages and dialects for speech recognition
- Small model size (50 Mb) with continuous transcription capabilities
- Zero-latency response and streaming API for real-time processing
- Reconfigurable vocabulary and speaker identification
- Bindings available for Python, Java, Node.JS, C#, C++, Rust, Go, and others
Use Cases
- Chatbots and virtual assistants for improved user interaction
- Smart home appliances for voice control
- Creating subtitles for movies and transcriptions for lectures and interviews
- Speech recognition in environments without internet access
Advantages
- Offline operation eliminates the need for internet connectivity
- Small model size allows for deployment on resource-constrained devices
- Versatile language support for global applications
- Scalability from small devices to large clusters
Limitations / Considerations
- The project's license is currently unknown, which may affect its use in commercial applications
- Performance may vary depending on the complexity of the language or dialect
- The accuracy of speaker identification and transcription may be influenced by environmental factors such as background noise
Similar / Related Projects
- Mozilla DeepSpeech: An open-source speech-to-text engine that is also capable of offline operation but focuses more on English language recognition.
- Kaldi: A popular open-source speech recognition toolkit that offers more advanced features but at the cost of higher complexity and resource requirements.
- CMU Sphinx: A toolkit for speech recognition providing multiple language support but with a steeper learning curve compared to Vosk-api.
Basic Information
- GitHub: https://github.com/alphacep/vosk-api
- Stars: 12,861
- License: Unknown
- Last Commit: 2025-08-03
📊 Project Information
- Project Name: vosk-api
- GitHub URL: https://github.com/alphacep/vosk-api
- Programming Language: Jupyter Notebook
- ⭐ Stars: 12,861
- 🍴 Forks: 1,532
- 📅 Created: 2019-09-03
- 🔄 Last Updated: 2025-08-03
🏷️ Project Topics
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