anydoc

doc7 is an open-source document-to-Markdown tool that converts PDFs, Office files, scans, screenshots, charts, formulas, and diagrams into AI-ready Markdown using an OpenAI-compatible multimodal vision model. It renders and understands complete pages rather than relying on character extraction, preserving text, tables, formulas, chart and diagram relationships, image meaning, and visible UI state; the video also describes page-level retry and resume. The model can run locally through LM Studio or Ollama or through a remote endpoint, with no required OCR stack or document-processing service. The same binary provides an interactive CLI, batch processing, model checks, MCP support, a Go SDK, and an asynchronous HTTP service, with installers for macOS, Linux, and Windows.

Docling is an open-source document-processing toolkit from the Docling project for preparing files for generative-AI applications. It parses formats including PDF, DOCX, PPTX, XLSX, HTML, EPUB, images, plain text, audio, and video, and represents the results in a unified DoclingDocument structure. For PDFs, it analyzes page layout, reading order, headings, tables, code, formulas, images, and scanned content through OCR. Audio and video inputs can be processed with automatic speech-recognition models; video parsing produces an ASR transcript and representative keyframes. Parsed content can be exported as Markdown, HTML, WebVTT, DocLang, DocTags, or lossless JSON. Docling supports local and air-gapped execution, a command-line interface, Python usage, an API server named docling-serve, and an MCP server for connecting agents. The project also provides integrations for LangChain, LlamaIndex, CrewAI, and Haystack. It is installable with pip and runs on macOS, Linux, and Windows on x86_64 and arm64 systems.

MarkItDown is a Microsoft Python utility and command-line tool that converts files and office documents into Markdown for use with large language models and text-analysis pipelines. It aims to preserve document structure such as headings, lists, tables, links, and other content rather than produce high-fidelity human-facing document conversions. Its built-in converters handle formats including PDF, PowerPoint, Word, Excel, images, audio, HTML, CSV, JSON, XML, ZIP files, YouTube URLs, and EPUBs. It can be used through a Python API, command line, Docker, or third-party plugins; optional integrations support OCR with an LLM vision client, Azure Document Intelligence, and Azure Content Understanding, including multimodal conversion and YAML front-matter field extraction. The repository notes that conversion performs I/O with the current process's privileges, so untrusted inputs must be sanitized and the narrowest conversion method should be used.

GenOffice is a free, open-source AI office suite from Genspark AI for macOS, Windows, and Linux. It consists of six Electron applications sharing an engine layer: Docs for .docx files, Sheets for .xlsx spreadsheets, Slides for .pptx presentations, PDF for viewing and editing PDFs, Markdown for plain Markdown files, and a shell application that hosts the editors. It opens and saves Microsoft Office formats, and includes light, dark, and system themes. Its AI panel supports document-aware, block-level edits with version snapshots and diffs; in spreadsheets, presentations, and PDFs it provides a tool-calling agent over document state. Built-in tools include web search, image search, image generation, and media analysis. Users can sign in through Genspark or supply their own keys for providers including Claude, OpenAI, Gemini, DeepSeek, Kimi, GLM, Qwen, Doubao, MiniMax, Grok, Mistral, and OpenRouter, as well as custom OpenAI-compatible endpoints and local servers. GenOffice Docs uses byte-preserving .docx editing in which only modified paragraphs are regenerated, with Word-compatible pagination, tracked changes, comments, styles, equations, and ink. GenOffice Sheets uses the open-source Univer core with in-house extensions and a Rust .xlsx import/export sidecar, plus charts, pivot tables, slicers, conditional formatting, and formula tracing. GenOffice Slides has an in-house .pptx parsing, rendering, and editing engine with masters, layouts, charts, cropping, ink, and text shaping. GenOffice PDF supports annotations, forms, outlines, stamps, signatures, page operations, printing, direct text reflow and image editing, and local conversion to editable Word, PowerPoint, or Excel files; scanned PDFs can use system OCR on macOS and Windows. GenOffice Markdown is a Tiptap block editor that saves headings, lists, tables, images, and code blocks back to plain Markdown. The suite is distributed under the Apache-2.0 license with installers for the three supported desktop platforms.

PDF Inspector is an open-source Rust library by Firecrawl for classifying PDF documents and extracting position-aware text without OCR. It samples content streams to classify documents as text-based, scanned, image-based, or mixed, returns confidence scores and per-page OCR-routing information, and detects broken font encodings. Its extractor uses font information and X/Y coordinates to determine reading order, including multi-column and right-to-left layouts, and converts content to Markdown with headings, lists, code blocks, tables, formatting, links, and page breaks. Native Rust and CLI consumers can opt into selective OCR for pages that need it; the Python and Node.js bindings can run the same workflow, while browser WebAssembly provides local parsing without a server round trip. The project also supports CID font decoding and shares a single parsed document between classification and extraction.