MarkItDown Document Pack
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About this skill
Problem
Engineers often need to turn scattered PDFs, Office documents, web pages, emails, images, audio/video files, and 2D/3D engineering files into material that can be read, searched, and audited. Manual copying of text, tables, screenshots, and metadata can lose source boundaries and present failed items as successful results.
How It Works
MarkItDown converts multiple inputs into a material pack whose primary output is Markdown. Ordinary documents extract text, headings, tables, and media references; folders, ZIP archives, and EML files are split into separate materials; images and scanned PDFs can be OCR-processed locally; audio/video tracks can be transcribed in segments; engineering files produce a fixed eight-section brief, an engineering-material-v1 JSON sidecar, and SVG/PNG previews. Batch runs precheck inputs, limit concurrency, commit receipts atomically, and support resumable execution.
Boundaries
It does not re-encode media files, nor replace B-Rep, assembly, or manufacturing approvals. OCR, transcription, and engineering parsing only reflect local capability results; failures, partial parsing, or metadata-only outputs are explicitly labeled and should not be treated as complete evidence.
Use Cases
- Convert multiple PDFs, DOCX files, and web terms into Markdown with source summaries for contract checks
- OCR scanned PDFs and image tables with local Chinese/English OCR while preserving image assets
- Split EML files, attachments, and CSV records into separate materials with an auditable batch receipt
- Turn STEP, STL, and DWG files into an eight-section brief, JSON sidecar, and preview images
Best For
- Legal ops staff who consolidate contract and quote clauses from PDFs and web pages into searchable materials
- Document specialists who need local OCR for scanned PDFs and image tables to restore text layers
- Implementation consultants who aggregate email attachments and CSV records into auditable delivery packages
- Design engineers reviewing CAD deliverables who need engineering summaries and JSON sidecars
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