Last updated: 9/24/2026Last verified: 2026-08-14
anydoc is Firecrawl's open-source document-to-Markdown converter that turns Word, PowerPoint, Excel, PDF, OpenDocument, RTF, EPUB, and CSV files into clean GitHub-Flavored Markdown in milliseconds. It runs fully local via CLI, Node.js, Python, Rust, or WebAssembly and ships as an Agent Skill so coding agents can read any document.
What is anydoc?
anydoc is Firecrawl's open-source document-to-Markdown converter for turning common file formats into clean GitHub-Flavored Markdown. It supports Word, PowerPoint, Excel, PDF, OpenDocument, RTF, EPUB, and CSV files, and it runs fully local without ML models or external services. Developers can use it through a CLI, Node.js, Python, Rust, WebAssembly bindings, or as an Agent Skill for coding agents.
Key Features
- Converts Word files including .doc, .docx, and .docm into GitHub-Flavored Markdown
- Supports PowerPoint, Excel, OpenDocument, RTF, EPUB, CSV, and PDF conversion
- Uses a shared document model for consistent escaping, tables, and lists across formats
- Detects file formats by content rather than relying only on file extensions
- Runs locally with median conversion under 5 ms per document, according to the provided product information
- Does not require ML models or external services for conversion
- Available as a CLI and through Node.js, Python, Rust, and WebAssembly bindings
- Includes a one-command Agent Skill so coding agents can read documents
Best For
Pricing
anydoc is listed as free in the provided tool information. Because it is described as open source and local-first, users should check the official website or repository for the current license, installation details, and any related support options.
Pros & Cons
Pros
- Supports a wide range of office, ebook, spreadsheet, and PDF formats
- Runs fully local, which can simplify workflows that should not depend on external conversion APIs
- Outputs GitHub-Flavored Markdown, a practical format for documentation, repositories, and agent workflows
- Offers multiple developer-friendly integrations including CLI, Node.js, Python, Rust, and WebAssembly
- Content-based format detection can make ingestion more reliable when file extensions are missing or incorrect
- The Agent Skill packaging makes it relevant for AI coding and research workflows
Cons
- It is focused on document-to-Markdown conversion rather than AI writing, summarization, or semantic analysis
- No hosted web interface is described in the provided information
- Users who need collaborative review, document management, or editing features may need additional tools
- Advanced extraction needs such as OCR, layout reconstruction, or scanned-document understanding are not specified in the provided information
Alternatives
ChatGPT can analyze uploaded documents, summarize content, and help transform text into Markdown, making it useful when conversion is part of a broader AI writing or research workflow.
Claude supports document analysis and long-form content review, which can be helpful for users who want AI interpretation and rewriting in addition to document ingestion.
Humata AI focuses on reading and answering questions over documents, especially PDFs, making it an alternative for research workflows that prioritize document Q&A.
AskYourPDF is designed for interacting with PDF documents through AI chat, which may suit users who need conversational research rather than local Markdown conversion.
Docling is an open-source document conversion and extraction tool that can be considered by teams comparing developer-oriented document processing options.
FAQ
Details
Platform
Features
- Converts Word (.doc/.docx/.docm), PowerPoint, Excel, OpenDocument, RTF, EPUB, CSV, and PDF into clean GitHub-Flavored Markdown
- Every format parses into one shared document model with consistent escaping, tables, and lists across formats
- Content-based format detection with median conversion under 5 ms per document — fully local, no ML models and no external services
- Ships as CLI, plus Node.js, Python, Rust, and WebAssembly bindings, and a one-command Agent Skill for coding agents
Languages
Known limitations
- No OCR: scanned or image-only PDFs return an Unsupported error and need the hosted Firecrawl Parse API or a separate OCR tool
- Encrypted or password-protected documents fail conversion
- Markdown output loses complex layouts, slide positioning, and images (rendered as alt text)
- The quality benchmark judged the first six pages per document, so very long or exotic files may convert less accurately






