ReadAny Team
ReadAny Team develops ReadAny, a local-first, open-source AI e-book reader for desktop and mobile. It helps readers ask questions about books, search by meaning, annotate and manage knowledge, use text-to-speech, and synchronize reading data while keeping books and notes locally stored by default.
At a Glance
- Students and academic researchers
- Language learners
- Professionals and lifelong learners
- Book clubs and discussion groups
- +2 more
AI Tools by ReadAny Team
(1)
ReadAny
Open Source AI Ebook Reader
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Latest News
ReadAny v1.3.6 improved desktop and mobile RAG/knowledge retrieval, added PDF dark and Sepia themes and Atlas Cloud, and improved AI chat, citation navigation, and EPUB/PDF reading.
ReadAny v1.3.5 introduced ReadAny CLI, MCP/external AI-agent access, an EPUB Draft workspace, expanded TTS provider configuration, and mobile system TTS.
ReadAny v1.3.4 added fullscreen mobile viewing and improved gesture browsing for AI-generated mindmaps and Mermaid diagrams.
ReadAny v1.3.3 added book metadata editing, continuous-scroll reading, fallback exploration for unindexed books, automatic vectorization workflows, and custom S3 sync directories.
Products & Services
Free, GPL-3.0 open-source AI-native e-book reader for macOS, Windows, Linux, iOS, and Android. Supports contextual AI chat, semantic search/RAG, annotations, notes, TTS, reading statistics, multi-format books, and sync.
Command-line interface for inspecting the library, searching knowledge, exporting notes and knowledge, checking the environment, managing configuration, and advanced workflows.
Desktop advanced workspace for creating EPUB drafts, editing chapters and metadata, reviewing differences, and exporting updated EPUB files.
Market Position
ReadAny positions itself as a local-first, open-source alternative to conventional ebook readers by combining contextual AI chat, RAG/semantic search, local vector storage, annotation and knowledge management, TTS, reading analytics, and cross-device sync. Its README explicitly compares it with Calibre, KOReader, and Apple Books, claiming AI chat, semantic search, local vector storage, reading statistics, WebDAV sync, and broader note export where those alternatives have limited or no support.
Founding Story
The project's stated motivation is the reader's problem of forgetting what they read, having scattered notes, and being limited to keyword search. ReadAny was started to create a private reading knowledge base with contextual AI chat, semantic retrieval, highlights, notes, and synchronization.
Business Model
Revenue Model
The source code and self-built application are free under GPL-3.0. The project says official app-store versions may carry a small fee to support ongoing development and certificate costs, and it accepts project support through displayed WeChat and Alipay donation channels.
Target Markets
- Students and academic researchers
- Language learners
- Professionals and lifelong learners
- Book clubs and discussion groups
- Privacy-conscious readers and open-source users
- Developers and AI-agent users needing local book knowledge access
- Academic research: analyze papers, extract insights, annotate PDFs, manage citations, and build knowledge graphs
- Language learning: translate passages, explain context, and build vocabulary
- Professional development: summarize technical books, extract takeaways, and maintain a personal knowledge base
- Book clubs and discussion: analyze themes, prepare discussion guides, and share annotated passages
- Private personal reading and cross-device reading workflows
- External AI-agent workflows through MCP and ReadAny CLI