{"id":84179,"date":"2026-10-13T23:16:58","date_gmt":"2026-10-13T15:16:58","guid":{"rendered":"https:\/\/www.ahhhhfs.com\/84179\/"},"modified":"2026-10-13T23:27:43","modified_gmt":"2026-10-13T15:27:43","slug":"modu-reader-open-source-ai-ebook-reader-with-ocr-sync","status":"publish","type":"post","link":"https:\/\/www.ahhhhfs.com\/en\/84179\/","title":{"rendered":"Modu Reader: Open-Source AI eBook Reader with OCR & Sync"},"content":{"rendered":"
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Scanned PDFs are still awkward in a lot of ebook apps.<\/strong> The file opens, but the page is still an image, so selecting a sentence, translating it, or leaving a note quickly becomes a chore. Modu Reader puts local OCR, AI-assisted reading, semantic search and cross-device sync inside the same reader.<\/p>\n<\/div>\n


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Modu Reader (\u9ed8\u8bfb)<\/strong> is an open-source AI ebook reader built with Flutter. It supports EPUB, PDF, MOBI, AZW3, FB2, TXT, Markdown, text-based UMD and scanned-image books, with builds for Windows, macOS, Linux, Android, iOS and native HarmonyOS.<\/p>\n

For scanned PDFs, it can crop and enhance the original page before running OCR locally on the device. Regular ebooks can also be indexed with an embedding model so you can find related passages across different chapters.<\/p>\n

AI, translation and sync are optional rather than required for basic reading. Some of them use external services depending on how you configure the app. Installation is also less polished than a typical App Store or Microsoft Store app on a few platforms, especially macOS, iOS and HarmonyOS.<\/p>\n

What problem does this AI ebook reader actually solve?<\/h2>\n

If all you need is an EPUB reader for changing fonts, turning pages and saving your position, there are already plenty of mature options. Switching readers just for those basics probably is not worth the trouble.<\/p>\n


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Modu Reader makes more sense if your library includes scanned PDFs and you want OCR, notes, translation and AI tools to work together. Text recognized from a scanned page can stay inside the reading workflow instead of being copied into a separate OCR or chat tool every time.<\/p>\n

AI is not required to use the reader either. You can read books, run local OCR and manage notes without setting up an AI provider. Online AI, translation and speech services only come into play when you choose to use them.<\/p>\n

That makes Modu Reader closer to an AI book reader for working with your own library than a speed-reading app or a tool that only summarizes uploaded books.<\/p>\n

How are Modu Reader, Anx Reader and ReadAny related?<\/h2>\n

If you have used Anx Reader before, parts of Modu Reader may look familiar.<\/p>\n

That is because Anx Reader<\/strong> and ReadAny<\/strong> are both projects Modu Reader was built from. Core reading features such as the reader interface, local library, notes, reading statistics and the WebDAV foundation come largely from Anx Reader. ReadAny is an important source or reference for the AI reading agent, Hybrid RAG, model configuration and text-to-speech features.<\/p>\n

Modu Reader is not simply a renamed copy of either project. It adds its own work around scanned-book OCR, AI reading, vector indexing and multi-platform packaging. The project is currently released under GPL-3.0-or-later<\/strong>.<\/p>\n

For normal personal use, that license does not change much about installing and reading books. If you plan to modify the source, redistribute the app or integrate it into a commercial product, check the repository’s LICENSE, NOTICE and UPSTREAM.md files before doing so.<\/p>\n

Scanned PDFs: cropping, image enhancement and local OCR<\/h2>\n

A scanned book can still be read in its original page layout. Modu Reader provides automatic and manual cropping, page rotation, fit-to-screen and fit-to-width modes, plus continuous scrolling.<\/p>\n


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Image controls can also adjust text darkness, contrast, whitening and sharpening. These changes affect how the page is displayed; they do not rewrite the original book file.<\/p>\n

There is also a watermark-reduction option for scanned pages. It is image processing, though, so it cannot reliably recover text that a watermark has already covered.<\/p>\n

OCR text stays usable inside the reader<\/h3>\n

OCR models can be downloaded from Settings \u2192 OCR Models<\/strong> and used directly on scanned pages.<\/p>\n

The project currently offers several PP-OCR models. PP-OCRv4 Chinese\/English is the recommended general-purpose option, with PP-OCRv5 and v3 variants available as alternatives.<\/p>\n


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The OCR model has to be downloaded once, but recognition itself runs on the device and does not require a separate OCR API key. Models are downloaded when needed rather than all being bundled into the installer.<\/p>\n

Recognized text can remain part of the reading interface instead of ending as a plain text export. You can use it to:<\/p>\n