ReaderLM-v2 is a 1.5B parameter language model developed by Jina AI, designed for converting raw HTML into clean markdown and JSON with high accuracy and improved handling of longer contexts. It supports multilingual text in 29 languages and offers advanced features such as direct HTML-to-JSON extraction. The model improves upon its predecessor by addressing issues like repetition in long sequences and enhancing markdown syntax generation.
ReaderLM-v2 is a 1.5B parameter language model designed to convert raw HTML into beautifully formatted markdown or JSON. It supports multilingual input and offers improved longer context handling, stability, and advanced markdown generation capabilities.
MarkItDown is a utility for converting various files to Markdown, including PDF, PowerPoint, Word, Excel, Images, Audio, HTML, text-based formats, and ZIP files.
Microsoft has open-sourced MarkItDown, a state-of-the-art application designed to convert various file types into Markdown format for seamless integration, collaboration, and accessibility. The tool supports multiple file formats, including PDFs, PowerPoint presentations, Word documents, Excel spreadsheets, images, audio, HTML, text-based formats, and ZIP files, making it a versatile utility for users across different domains.
How to read and convert PDFs to Markdown for better RAG results with LLMs.
Docling is a tool that parses documents and exports them to desired formats like Markdown and JSON. It supports various document formats including PDF, DOCX, PPTX, Images, HTML, AsciiDoc, and Markdown.
Automates conversion of various file types and GitHub repositories into LLM-ready Markdown documents.
A mini python based tool designed to convert various types of files and GitHub repositories into LLM-ready Markdown documents with metadata, table of contents, and consistent heading styles. Supports multiple file types, handles zip files, and has GitHub integration.
