#Azure TTS

The tool converts EPUB files into audiobooks using Text-to-Speech APIs such as Microsoft Azure and OpenAI. Designed for integration with Audiobookshelf, it creates an MP3 for each chapter with the chapter title as metadata. Compatible with Python or Docker setups, it supports voice and language customization. Features include preview mode and search-and-replace functionality, catering to both technical and non-technical users.

Discover various deployment solutions for integrating text-to-speech services. Options include Docker, Vercel, and Heroku, with Docker recommended for the best performance. The project enables customized voice synthesis via Azure TTS, offering varied audio formats and token-based security. Through importing and API calls, users can tailor their audio experiences. Important updates reflect ongoing changes in Azure TTS accessibility, emphasizing the project's educational intent. Stay updated on significant changes to ensure smooth audio content creation.

The project provides a Telegram bot utilizing the OpenAI ChatGPT API and Azure TTS for voice feedback, while integrating AI models such as DALL·E and Whisper. Key features include adjustable AI roles, a user whitelist, Docker support, and privacy protection. Incorporating detailed logging and adaptable settings, the bot allows for tailored user experience. Suitable for both individual and group messaging, it facilitates intelligent and responsive communication.