Metadata-Version: 2.4
Name: oremi-andika
Version: 3.0.0b7
Summary: Empowering seamless transcription with cutting-edge STT (Speech-to-Text) technology, revolutionizing interaction through accurate speech recognition
Project-URL: Say Thanks!, https://www.buymeacoffee.com/demsking
Project-URL: Documentation, https://demsking.gitlab.io/oremi-andika
Project-URL: Source, https://gitlab.com/demsking/oremi-andika
Project-URL: Issues, https://gitlab.com/demsking/oremi-andika/-/issues
Author-email: Sébastien Demanou <demsking@gmail.com>
Maintainer-email: Sébastien Demanou <demsking@gmail.com>
License-Expression: Apache-2.0
License-File: LICENSE
License-File: LICENSE_HEADER.txt
Keywords: stt
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Natural Language :: French
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.12
Requires-Dist: dataclasses-json>=0.6.7
Requires-Dist: pydantic-settings>=2.14.2
Requires-Dist: vosk>=0.3.45
Description-Content-Type: text/markdown

# Oremi Andika

[![Buy me a beer](https://img.shields.io/badge/Buy%20me-a%20beer-1f425f.svg)](https://www.buymeacoffee.com/demsking)

Oremi Andika serves as the foundational pillar of the Oremi project, introducing cutting-edge STT (Speech-to-Text) capabilities to enable seamless transcription of spoken language.

Built upon the robust [Vosk Speech Recognition framework](https://alphacephei.com/vosk/), this module empowers the Oremi personal assistant to accurately transcribe spoken words into text.

## Documentation

All project documentation—including features, deployment steps, the speech-to-text WebSocket protocol details, the complete API Reference, and the Home Assistant integration guide can be found at:
https://demsking.gitlab.io/oremi-andika/

## License

Licensed under the Apache License, Version 2.0.
