About Readr
Readr is a free, open-source reading application designed for curious readers who want to engage deeply with their books. It allows users to ask questions in plain English while reading, with answers appearing in the margin and cited back to relevant passages. The app supports reading your own DRM-free EPUBs and PDFs with proper book typography, highlighting, note-taking, and the ability to compose articles from your annotations. It includes text-to-speech functionality that runs locally on your device, and lets you bring your own AI provider through OpenRouter, ChatGPT, Anthropic, OpenAI, or local Ollama models. Readr stands out for ask questions mid-page with ai-generated answers cited from the book, highlight and note-taking functionality, compose articles from highlights and notes, and text-to-speech with local voice processing.
Readr is a free tool. It sits in the AI Reading Assistant and AI Education space and is best used to Asking contextual questions while reading without leaving the book, Deepening understanding of complex topics by getting AI-assisted explanations grounded in , Building a personal knowledge base by composing articles from highlights and notes.
Pricing
Open Source$0
- Ask questions mid-page and get answers from entire book
- Open source codebase available on GitHub
- Self-hosted deployment option
- No account or subscription required
Features
- •Ask questions mid-page with AI-generated answers cited from the bookIt's a defining strength of Readr — especially when teams need to asking contextual questions while reading without leaving the book.
- •Highlight and note-taking functionalityBuilt-in support for highlight and note-taking functionality — used for asking contextual questions while reading without leaving the book.
- •Compose articles from highlights and notesWhy Readr is a go-to choice for asking contextual questions while reading without leaving the book.
- •Text-to-speech with local voice processingCited as a top reason teams pick Readr over competitors when they need to asking contextual questions while reading without leaving the book.
- •Support for EPUB, PDF, and Markdown filesPairs naturally with the rest of the Readr workflow for asking contextual questions while reading without leaving the book.
- •Bring your own AI provider integrationBuilt-in support for bring your own ai provider integration — used for asking contextual questions while reading without leaving the book.
- •Multiple reading themes (Paper, Sepia, Dark)It's a defining strength of Readr — especially when teams need to asking contextual questions while reading without leaving the book.
- •Offline reading capability with local Ollama modelsComes up again and again in user reviews of Readr for asking contextual questions while reading without leaving the book.
AI Models used
The foundation models that power Readr under the hood.
Powers the question-answering engine that retrieves and synthesizes answers from book content.
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