KindleEar is a web application designed to aggregate RSS feeds and web content, convert them into ebook formats (EPUB/MOBI), and deliver them to Kindle devices. It also offers an online reader optimized for e-ink displays, catering to users who want to consume web content on their e-readers or as audio.

How It Works

KindleEar leverages Calibre's recipe format for content aggregation, allowing users to define custom feeds or utilize a built-in library of over a thousand recipes. It supports various feed types (RSS, ATOM, JSON) and can convert content into EPUB or MOBI formats, including images and tables of contents. The application can be deployed on various Python-hosting platforms or VPS, with a Docker version offering email delivery and the integrated online reader.

Quick Start & Requirements

• Install: Docker is the recommended installation method.
• Prerequisites: Python 3 support.
• Demo: A demo site is available at https://kindleear.geog.workers.dev/ (admin/admin).
• Documentation: https://github.com/cdhigh/KindleEar/blob/master/README.md

Highlighted Details

• AI-driven article summarization using Gemini, Grok, Mistral, or Groq APIs.
• Bilingual translation and text-to-speech functionality.
• Browser extension for easy recipe creation from any website.
• Supports Calibre's recipe format without modification.

Maintenance & Community

The project is actively maintained, with the latest release (v3.2) in November 2024. Notable contributors are listed on GitHub.

Licensing & Compatibility

KindleEar is licensed under the MIT license, permitting commercial use and integration with closed-source projects.

Limitations & Caveats

The demo site data is cleared after inactivity. While cross-platform support is mentioned, specific deployment requirements beyond Python 3 and Docker are not detailed in the README.