# Tools > Every listed resource, editors’ picks first. The filters below can be combined. - Search: append `?q=` to the URL. Separate several keywords with spaces; all of them must match. Matches name, repository, tags, professions, description and README. - Filter by type: append `?type=` to the URL. - Filter by profession: append `?profession=` to the URL. Separate several ids with commas; a resource matches when it suits any of them. Ids are listed at https://hebbmind.com/api/v1/professions - Filter by tag: append `?tag=` to the URL. Separate several tags with commas; a resource must carry all of them. Tags are listed at https://hebbmind.com/api/v1/tags Resources for Full-stack / Indie or DevOps / SRE or ML / AI, Tagged `file-conversion`: 19 items. > - Full-stack / Indie: General software work: coding-agent workflows, code review, debugging and Git collaboration. > - DevOps / SRE: Deployment, monitoring, cloud resources and reliability. > - ML / AI: Model training, evaluation and LLM application development. - [MarkItDown-MCP](https://hebbmind.com/mcp/markitdown-mcp.md): [MCP] From Microsoft: converts PDF, Word, Excel, PowerPoint, HTML and other files or URLs to Markdown so agents can read and search them. A single convert_to_markdown tool over STDIO or local HTTP. - [MarkItDown](https://hebbmind.com/cli/markitdown.md): [CLI] Converts PDF, Word, Excel, PowerPoint, HTML, images, audio and more into Markdown that keeps headings, lists and tables, ready for LLMs to read and analyze. Maintained by Microsoft; requires Python 3.10+. - [PaddleOCR MCP Server](https://hebbmind.com/mcp/paddlepaddle-mcp-server.md): [MCP] Official PaddleOCR MCP: text recognition and layout parsing for images and PDFs (PP-OCR, PP-StructureV3, PaddleOCR-VL), returning text or Markdown. Runs inference locally, or calls the official API or a self-hosted service. - [MinerU](https://hebbmind.com/cli/mineru.md): [CLI] Document parser from OpenDataLab that turns PDFs, images and Office files into Markdown or JSON, handling tables, formulas and complex layouts well, with page-by-page reading and citation anchors for agents. Parses locally by default; needs Python 3.10+. - [Docling](https://hebbmind.com/cli/docling.md): [CLI] Parses PDF, DOCX, PPTX, XLSX, HTML, images and audio, recovering layout, reading order, tables and formulas, and exports Markdown, HTML or lossless JSON. Started by IBM Research, now hosted by the LF AI & Data Foundation; runs fully locally. - [FFmpeg](https://hebbmind.com/cli/ffmpeg.md): [CLI] Command-line toolkit for transcoding, cutting, joining, frame extraction and streaming of audio and video, including ffmpeg, ffprobe and ffplay. A core dependency for agents handling media. The GitHub repo is the official mirror. - [Marker](https://hebbmind.com/cli/marker.md): [CLI] Converts PDFs, images, PPTX, DOCX, XLSX, EPUB and more into Markdown, JSON or HTML, preserving tables, formulas and layout, with optional LLM help for higher accuracy. Needs Python 3.10+ and PyTorch; large-scale commercial use of the model weights needs a paid license. - [jq](https://hebbmind.com/cli/jq.md): [CLI] Lightweight command-line JSON processor that slices, filters, maps and transforms JSON with concise expressions and no runtime dependencies. A staple for agents parsing API responses and logs. - [olmOCR](https://hebbmind.com/cli/olmocr.md): [CLI] AI2's tool for converting PDFs and scans to Markdown with a vision LLM, handling equations, tables, handwriting and multi-column layouts, suited to bulk digitizing papers and archives. Local runs need an NVIDIA GPU with 12GB+ VRAM; otherwise use a paid OpenAI-compatible remote endpoint. - [yq](https://hebbmind.com/cli/yq.md): [CLI] Lightweight command-line processor with jq-like syntax for reading, modifying and converting YAML, JSON, XML, INI, CSV and more, including in-place config edits. A single dependency-free Go binary. - [Miller](https://hebbmind.com/cli/miller.md): [CLI] Processes CSV, TSV, JSON and other structured data like awk, sed, cut, join and sort, but by field name, for cleaning, aggregation, format conversion and pretty-printing. The command is mlr; written in Go with no runtime dependencies. - [Defuddle](https://hebbmind.com/cli/defuddle.md): [CLI] Extracts the main content of a web page, stripping comments, sidebars, headers and footers, and outputs clean HTML or Markdown with metadata like title, author and publish date, saving tokens when agents read the web. Built for Obsidian Web Clipper by kepano; still in development. - [WeasyPrint](https://hebbmind.com/cli/weasyprint.md): [CLI] Rendering engine that lays out HTML and CSS and exports PDF, supporting paged media and other print style standards, ideal for generating reports, invoices and receipts in bulk. Written in Python; depends on the system Pango library. - [jc](https://hebbmind.com/cli/jc.md): [CLI] Converts the output of 100+ commands such as dig, ps, ls and ifconfig, plus common file formats, into JSON so agents can parse it reliably with jq or scripts. Also usable as a Python library. - [dasel](https://hebbmind.com/cli/dasel.md): [CLI] Query, modify and convert JSON, YAML, TOML, XML, CSV, HCL, INI and more with one selector syntax, editing config files in place or converting between formats, handy for agents handling structured data in scripts. A single dependency-free binary that works much like jq or yq. - [Jupytext](https://hebbmind.com/cli/jupytext.md): [CLI] Converts and two-way syncs Jupyter notebooks with plain Python scripts or Markdown, so agents can edit research and teaching notebooks like ordinary text and diffs stay readable. Needs a local Python environment; install with pip. - [Asciidoctor](https://hebbmind.com/cli/asciidoctor.md): [CLI] Converts AsciiDoc, a Markdown-like plain-text markup, into HTML5, DocBook and man pages, and with official extensions into PDF and EPUB, suited to technical books, textbooks and large manuals. Ruby-based; install with Homebrew on macOS. - [Translate Toolkit](https://hebbmind.com/cli/translate.md): [CLI] Open-source toolkit widely used in localization: converts between PO, XLIFF, TMX, CSV, subtitle and other translation formats, counts words, runs 40+ translation checks with pofilter and extracts frequent terms with poterminology. Needs Python 3.11+. - [MinerU Open MCP](https://hebbmind.com/mcp/opendatalab-mcp.md): [MCP] MinerU's official MCP: parses PDF, Word, PowerPoint and images into Markdown via the mineru.net cloud API, keeping tables and formulas. The keyless Flash mode works out of the box; add a token for higher quotas and more formats.