anymd

<div align="center"> <img src="https://raw.githubusercontent.com/SylphxAI/anymd/main/docs/public/og-image.png" alt="anymd — any file → clean Markdown for AI agents" width="820" /> <h1 hidden>anymd</h1> <!-- generated:lead --> PDF, Word, PowerPoint, Excel, EPUB, HTML and web pages, images (OCR), audio and video (metadata, subtitles, transcripts). A fast Rust MCP server and CLI that runs on your machine. No API key. <!-- /generated:lead --> [](https://www.npmjs.com/package/@sylphx/anymd) [](https://www.npmjs.com/package/@sylphx/anymd) [](https://github.com/SylphxAI/anymd/stargazers) [](https://registry.modelcontextprotocol.io/v0/servers?search=anymd) [](https://github.com/SylphxAI/anymd/blob/main/LICENSE) [](https://scorecard.dev/viewer/?uri=github.com/SylphxAI/anymd) <!-- repomap:agent-ready -->[](https://github.com/SylphxAI/repomap#agent-readiness-score)<!-- /repomap:agent-ready --> [Install](#install) · [Benchmarks](#benchmarks) · [Tools](#mcp-tools) · [CLI](#cli) · [Formats](#formats) · [Docs](https://sylphxai.github.io/anymd/) · [Pro](https://sylphxai.github.io/anymd/pro) <!-- generated:formerly --> _{Formerly **pdf-reader-mcp**. [Migrating from pdf-reader-mcp](https://sylphxai.github.io/anymd/guide/migration)} <!-- /generated:formerly --> <img src="https://raw.githubusercontent.com/SylphxAI/anymd/main/docs/public/demo.gif" alt="Real terminal session: anymd converts a PDF page with its table, searches a folder, reads a spreadsheet, then Claude Code answers from the PDF through the anymd MCP server" width="820" /> _{A real, unedited terminal recording (asciinema + agg, <a href="https://github.com/SylphxAI/anymd/tree/main/bench/demo">script</a>). The last command is Claude Code answering from the PDF through the anymd MCP server.} </div> ```bash npx -y @sylphx/anymd setup # add anymd to every MCP client on this machine npx -y @sylphx/anymd report.pdf > report.md # or convert from the shell ``` ## Why anymd <!-- fast:start --> - **Fast.** Native Rust converts in parallel, page by page. On the 38 benchmark documents, anymd takes **11.5 s** in total; docling 2,432.4 s (212×), markitdown 75.6 s (7×); marker converted 30 of them in 7,104.5 s, against anymd's 4.64 s on the same 30 (1,532×). <!-- fast:end --> - **Accurate.** A layout engine rebuilds words from glyph gaps, puts two-column papers in reading order, and recovers tables, including borderless ones. The text stays exactly as printed, with no glued words and no scrambled columns. - **Lean on tokens.** Pages come back as Markdown with `<!-- page 3 -->` citation anchors, a small front-matter header, and compact tables. A token budget and a cursor keep large documents within your agent's context. - **Every format, one call.** One tool reads every format listed below. It also accepts web URLs and whole directories, and `search` looks across all of them. - **Local and private.** Nothing is uploaded. OCR uses installed local doc-VLM models or tesseract; transcripts use ffmpeg and bundled Qwen3-ASR. OCR setup and ASR model downloads require explicit opt-in. ## Install Add anymd to every MCP client on your machine (Claude Code, Codex, Cursor, VS Code, Claude Desktop, Windsurf, Gemini CLI) with one command: ```bash npx -y @sylphx/anymd setup # --dry-run to preview, --remove to undo ``` Or add it by hand: every MCP client runs the same command, `npx -y @sylphx/anymd`. Node 18+ is the only requirement; npm installs the native binary for your platform. <details open> <summary><b>Claude Code</b></summary> ```bash claude mcp add anymd -- npx -y @sylphx/anymd ``` Or as a plugin, with the anymd skill: `/plugin marketplace add SylphxAI/anymd`, then `/plugin install anymd@anymd`. </details> <details> <summary><b>Codex</b></summary> ```bash codex mcp add anymd -- npx -y @sylphx/anymd ``` or in `~/.codex/config.toml`: ```toml [mcp_servers.anymd] command = "npx" args = ["-y", "@sylphx/anymd"] ``` </details> <details> <summary><b>Cursor</b></summary> [](https://cursor.com/en/install-mcp?name=anymd&config=eyJjb21tYW5kIjoibnB4IiwiYXJncyI6WyIteSIsIkBzeWxwaHgvYW55bWQiXX0=) or in `.cursor/mcp.json`: ```json { "mcpServers": { "anymd": { "command": "npx", "args": ["-y", "@sylphx/anymd"] } } } ``` </details> <details> <summary><b>VS Code</b></summary> [Install in VS Code](https://insiders.vscode.dev/redirect?url=vscode%3Amcp%2Finstall%3F%257B%2522name%2522%253A%2522anymd%2522%252C%2522command%2522%253A%2522npx%2522%252C%2522args%2522%253A%255B%2522-y%2522%252C%2522%2540sylphx%252Fanymd%2522%255D%257D) with one click, or from a terminal: ```bash code --add-mcp '{"name":"anymd","command":"npx","args":["-y","@sylphx/anymd"]}' ``` or in `.vscode/mcp.json`: ```json { "servers": { "anymd": { "type": "stdio", "command": "npx", "args": ["-y", "@sylphx/anymd"] } } } ``` </details> <details> <summary><b>Claude Desktop</b></summary> One click: download `anymd-<version>.mcpb` from the [latest release](https://github.com/SylphxAI/anymd/releases/latest) and open it. Or, by hand: Add to `claude_desktop_config.json` (Settings → Developer → Edit Config): ```json { "mcpServers": { "anymd": { "command": "npx", "args": ["-y", "@sylphx/anymd"] } } } ``` </details> <details> <summary><b>Windsurf, Zed, Cline, and other clients</b></summary> Any client that speaks MCP over stdio: command `npx`, args `["-y", "@sylphx/anymd"]`. To keep the server inside one folder, add `--allow-dir=/path/to/docs`. </details> <details> <summary><b>CLI only</b></summary> ```bash npm install -g @sylphx/anymd # or run it once with: npx -y @sylphx/anymd <file> ``` Python: `uvx anymd report.pdf > report.md` runs it once, `pip install anymd` installs it, and `uvx anymd mcp` starts the MCP server. The wheels carry the same prebuilt binary. Docker (amd64 and arm64): ```bash docker run --rm -v "$PWD:/data" ghcr.io/sylphxai/anymd report.pdf > report.md docker run -i --rm ghcr.io/sylphxai/anymd # MCP server on stdio ``` Or build it from [crates.io](https://crates.io/crates/anymd) (Rust 1.95+, CMake and a C++ compiler; doc-VLM OCR and local ASR are included): ```bash cargo install anymd ``` npm, pip and Docker ship a prebuilt binary, while `cargo install` compiles one on your machine. </details> ## Benchmarks [AgentDocBench](https://sylphxai.github.io/anymd/guide/benchmarks) is an open benchmark for document → Markdown conversion for agents: license-clean documents in 12 categories (math papers, two-column papers, financial tables, forms, scans, CJK, slides, spreadsheets, Word, EPUB, HTML), scored on verbatim sentences, text F1, reading order, and table cells, with time and output tokens. Every tool runs on the same kind of GitHub-hosted runner (4 CPUs): <!-- headline:start --> | | **anymd** | docling | kreuzberg | unstructured | markitdown | marker | pdftotext | |---|---|---|---|---|---|---|---| | Overall score | 96.4 | 93.0 | 81.7 | 81.2 | 76.8 | 71.0 | 42.2 | | Table cells F1 | 92.2 | 89.9 | 38.4 | 38.4 | 57.2 | 60.9 | 0.0 | | Reading order | 98.8 | 94.4 | 96.8 | 93.9 | 85.5 | 76.8 | 52.0 | | Docs converted | 38/38 | 38/38 | 38/38 | 38/38 | 38/38 | 30/38 | 23/38 | | Time, all docs | 11.5 s | 2,432.4 s | 16.0 s | 346.5 s | 75.6 s | 7,104.5 s | 0.90 s | <!-- headline:end --> The generated leaderboard, per-category scores (including where anymd loses), and method are in the [benchmark guide](https://sylphxai.github.io/anymd/guide/benchmarks). The corpus, ground truth, adapters, and raw results are in [`bench/`](https://github.com/SylphxAI/anymd/tree/main/bench), and the [Benchmark workflow](https://github.com/SylphxAI/anymd/blob/main/.github/workflows/benchmark.yml) reruns everything; new tools can join with a single adapter file. ## MCP tools anymd exposes four tools. | Tool | Use it to | Key arguments | |---|---|---| | **`outline`** | Navigate a heading tree, with node ids and unit/Markdown ranges | `source`, `format` (`json` · `tree`) | | **`read`** | Turn a file, URL, or folder into Markdown | `source`, `pages` (`"1-5,8"`), `max_tokens` (default 20000), `cursor`, `ocr`, `images` (`refs` · `none`), `revisions` (`markup` · `accept` · `reject`), `transcript`, `download_asr_model` | | **`search`** | Find text across files, folders, and URLs | `query`, `sources`, `mode` (`auto` · `literal` · `ranked`), `glob`, `max_results` | | **`inspect`** | Go deeper on a PDF | `operation`: `render_page`, `extract_regions`, `ocr_pages`, `structure` (JSON with geometry), `compare`, `inspect`, [`cite_check`](https://sylphxai.github.io/anymd/guide/cite-check) (quote and location support, [anymd Pro](https://sylphxai.github.io/anymd/pro)) | A `read` answer looks like this: ```markdown --- source: papers/attention.pdf title: Attention Is All You Need pages: 15 showing: pages 1-9 --- <!-- page 1 --> # Attention Is All You Need … <!-- page 8 --> |Model|BLEU EN-DE|BLEU EN-FR| |-|-|-| |Transformer (big)|28.4|41.8| … <!-- Stopped at the 20000-token budget. Continue with cursor: "10", or pick pages, or raise max_tokens. --> ``` `search` answers with one line per hit: ```markdown 5 matches for "masked language model" (2 files, 31 sections searched) ### papers/bert.pdf (5) - p.1: …by using a “**masked language model**” (MLM) pre-training objective, inspired by the Cloze task… - p.2: …In addition to the **masked language model**, we also use a “next sentence prediction” task… ``` If nothing matches exactly, `search` falls back to BM25-ranked passages, so a question like "how does bidirectional pretraining work" still finds the right page. ## CLI The same binary is a command-line converter, like MarkItDown but much faster: ```bash anymd report.pdf > report.md # a file anymd deck.pptx notes.docx budget.xlsx # several files, each with a header anymd https://example.com/article # a web page (main content only) cat scan.png | anymd - --ocr # stdin, with OCR anymd setup ocr # one-time: install the OCR engine and pinned local models (~2 GB) anymd scan.png --ocr vlm # tables as Markdown, formulas as LaTeX anymd paper.pdf --pages 1-3 --max-tokens 4000 anymd search "indemnification" contracts/ --glob '*.pdf' anymd doctor # lists the optional tools anymd found ``` Run with no arguments from an MCP client (piped stdin), or as `anymd mcp`, and it serves MCP over stdio. ## Formats | Input | What you get | |---|---| | **PDF** | Reading-order Markdown: headings, paragraphs, lists, tables, sub/superscripts, `<!-- page N -->` markers, bookmarks as an outline. Running headers and page numbers are removed. Image-only pages use local doc-VLM OCR after explicit model setup, otherwise installed tesseract. Embedded figures are saved to the anymd cache and marked in place with their caption (`images: "refs"`, the default). | | **Word** `.docx` | Headings, bold/italic, links, nested lists, tables with merged cells, footnotes, equations as LaTeX, embedded pictures as image files, tracked changes and comments as CriticMarkup | | **PowerPoint** `.pptx` | One section per slide in deck order, titles, bullets, tables, chart data, speaker notes, pictures as image files | | **Excel** `.xlsx .xls .ods` · **CSV/TSV** | One table per sheet, dates as ISO strings, capped at 2,000 rows per sheet | | **EPUB** | One section per chapter in spine order, plus title and author; pictures as image files | | **HTML** and **URLs** | The main article only: navigation, cookie banners, and sidebars are dropped. Relative links are resolved, and code keeps its language. | | **Markdown, text, JSON** | Returned unchanged, with pagination | | **Images** | Dimensions and EXIF (camera, date, GPS), plus local doc-VLM OCR after model setup, or installed tesseract | | **Audio / video** | Duration, streams, chapters, embedded and sidecar subtitles (via `ffprobe`/`ffmpeg`). Local Qwen3-ASR transcript with `transcript: true`; `download_asr_model: true` implies a transcript; `transcript: true` alone never downloads weights. | ## How it works For PDFs, anymd reads glyph positions rather than text runs. Glyphs are grouped into lines by baseline, which tolerates super- and subscripts. Word spaces come from the gaps between glyphs, measured against the font size and adjusted for letter tracking. A column-aware XY cut finds gutters between running text. Tables come from drawn lines where a table has them (a missing line between two cells makes a merged cell) and from aligned columns of whitespace where it does not. Wrapped cell text stays in its cell, stacked header lines become one header, and a header over several columns is kept with each of them. Text a reader cannot see (invisible text, or text in the colour of the box behind it) is left out. Pages are processed in parallel and isolated from each other, so one malformed page never fails the whole document. The other formats are parsed natively in Rust (zip/XML, calamine, html5ever); no Python, LibreOffice, or cloud service is involved. ## anymd Pro The anymd core is free and open source (MIT), and nothing that was free has moved to Pro. **anymd Pro** (US$29 once, from 8.4.0) adds exactly two things for agents that must show their evidence: video timelines with exact, hashed frames (`inspect` `video_timeline` and `render_frame`, and the `timeline` option of `read` and `outline`) and cite-check, which verifies a quote at a page and location in a PDF. Licences are checked offline; no account. Pro funds anymd's development. Buy from the terminal: `anymd pro buy` opens the Pro page; in-terminal purchase turns on when the checkout service is live. [See anymd Pro](https://sylphxai.github.io/anymd/pro). ## Security - Local-first: documents never leave your machine unless you pass a URL, and even then only that URL is fetched. - URL fetches block private and loopback addresses, and every redirect hop is checked again, pinned to its resolved address. - `--allow-dir=<path>` (repeatable) or `MCP_PDF_ALLOWED_DIRS` confines the server to the directories you list. - Embedded images are written only to anymd's own cache directory (`ANYMD_CACHE_DIR`, else the platform cache), never next to the source document, and refused over 50 megapixels. - External tools (tesseract, ffprobe, ffmpeg) are optional. anymd runs them without a shell, with a timeout and an output cap. See [SECURITY.md](https://github.com/SylphxAI/anymd/blob/main/SECURITY.md) to report a vulnerability. ## Also from Sylphx <!-- generated:also-from --> - [**repomap**](https://github.com/SylphxAI/repomap): A map of your codebase for AI agents: code graph, search, call paths and change impact. - [**lockdocs**](https://github.com/SylphxAI/lockdocs): Exact-version library docs from your lockfile. Local, offline, no rate limits. - [**skills**](https://github.com/SylphxAI/skills): Battle-tested agent skills for Claude Code and Codex, installed in one command. - [**readme-mark**](https://github.com/SylphxAI/readme-mark): Beautiful README images from one URL: banners, badges, icons and stats cards. - [**Sylphx apps**](https://sylphx.com/apps): Apps and tools from Sylphx. <!-- /generated:also-from --> More from Sylphx: https://sylphx.com/open-source ## Star history [](https://star-history.com/#SylphxAI/anymd&Date) ## License MIT © [Sylphx](https://sylphx.com)