{"slug":"markitdown","name":"MarkItDown","summary":"MarkItDown (microsoft/markitdown) is a lightweight Python utility that converts many file types to Markdown for LLMs and text-analysis pipelines. README positions it near textract, but focused on preserving structure (headings, lists, tables, links) as Markdown for models rather than high-fidelity human publishing.","kind":"resource","homepage":"https://pypi.org/project/markitdown/","repoUrl":"https://github.com/microsoft/markitdown","docsUrl":"https://learn.microsoft.com/azure/ai-services/content-understanding/","publisher":"","hasMcp":true,"hasApi":false,"costRange":"unknown","composabilityRationale":"","functions":["connect"],"functionProbabilities":[],"slices":[{"functionId":"connect","label":"Connect","note":"MarkItDown (microsoft/markitdown) is a lightweight Python utility that converts many file types to Markdown for LLMs and text-analysis pipelines. README positions it near textract, but focused on preserving structure (headings, lists, tables, links) as Markdown for models rather than high-fidelity human publishing.","cost":"unknown"}],"tweets":[],"sources":[{"kind":"human","label":"Compendium resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-09-07-microsoft-markitdown.md\nMarkItDown (microsoft/markitdown) is a lightweight Python utility that converts many file types to Markdown for LLMs and text-analysis pipelines. README positions it near textract, but focused on preserving structure (headings, lists, tables, links) as Markdown for models rather than high-fidelity human publishing.","at":"2026-09-07T00:00:00.000Z"},{"kind":"human","label":"Compendium resource card","excerpt":"for image descriptions, 3rd-party plugins (#markitdown-plugin), and an in-repo markitdown-mcp package (PyPI alpha 0.0.1a4 at capture).","at":"2026-09-07T00:00:00.000Z"},{"kind":"human","label":"Compendium resource card","excerpt":"Surfaces: CLI (markitdown path > out.md), Python API (MarkItDown().convert(...)), Docker example, optio","at":"2026-09-07T00:00:00.000Z"}],"interfaces":[{"kind":"mcp"},{"kind":"cli"}],"origin":"seed","notes":[],"createdAt":"2026-09-07T00:00:00.000Z","updatedAt":"2026-09-07T00:00:00.000Z","stagingSeed":"leyline-0.3.0-staging","recordId":"cmp_markitdown","claims":{"name":"MarkItDown","summary":"MarkItDown (microsoft/markitdown) is a lightweight Python utility that converts many file types to Markdown for LLMs and text-analysis pipelines. README positions it near textract, but focused on preserving structure (headings, lists, tables, links) as Markdown for models rather than high-fidelity human publishing.","kind":"resource","publisher":"","homepage":"https://pypi.org/project/markitdown/","repoUrl":"https://github.com/microsoft/markitdown","docsUrl":"https://learn.microsoft.com/azure/ai-services/content-understanding/","costRange":"unknown","functions":["connect"],"slices":[{"functionId":"connect","label":"Connect","note":"MarkItDown (microsoft/markitdown) is a lightweight Python utility that converts many file types to Markdown for LLMs and text-analysis pipelines. 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Same kind and overlapping capability."},{"from":"markitdown","to":"slackhq-nebula","kind":"alternative-to","note":"Shared functions connect. Same kind and overlapping capability."},{"from":"markitdown","to":"cloudflare-quick-tunnels","kind":"alternative-to","note":"Shared functions connect. Same kind and overlapping capability."},{"from":"markitdown","to":"company-brain","kind":"alternative-to","note":"Shared functions connect. Same kind and overlapping capability."}],"signals":[{"key":"has_docs","value":1,"source":"component-record","method":"declared-docs","observedAt":"2026-09-07T00:00:00.000Z"}],"claimVerification":[],"explain":{"score":10,"formula":"100 × sum(weight × value) over observed factors only. Unobserved factors are omitted, not zeroed.","factors":[{"id":"github_health","label":"GitHub health","weight":0.18,"value":0.15,"contribution":0.027,"why":"Documentation is available.","sources":[],"evidence":"observed"},{"id":"agent_use","label":"Agent use","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"human_notes","label":"Human notes","weight":0.14,"why":"insufficient evidence","sources":[{"kind":"human","label":"Compendium resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-09-07-microsoft-markitdown.md\nMarkItDown (microsoft/markitdown) is a lightweight Python utility that converts many file types to Markdown for LLMs and text-analysis pipelines. README positions it near textract, but focused on preserving structure (headings, lists, tables, links) as Markdown for models rather than high-fidelity human publishing.","at":"2026-09-07T00:00:00.000Z"},{"kind":"human","label":"Compendium resource card","excerpt":"for image descriptions, 3rd-party plugins (#markitdown-plugin), and an in-repo markitdown-mcp package (PyPI alpha 0.0.1a4 at capture).","at":"2026-09-07T00:00:00.000Z"},{"kind":"human","label":"Compendium resource card","excerpt":"Surfaces: CLI (markitdown path > out.md), Python API (MarkItDown().convert(...)), Docker example, optio","at":"2026-09-07T00:00:00.000Z"}],"evidence":"insufficient"},{"id":"composability","label":"Composability","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"checklist","label":"Checklist","weight":0.1,"value":0.3333333333333333,"contribution":0.03333333333333333,"why":"An MCP surface is declared. No API is declared. Cost is unknown. 1 of 3 checklist fields are complete.","sources":[],"evidence":"observed"},{"id":"evidence_quality","label":"Evidence quality","weight":0.14,"value":0.26214289265639185,"contribution":0.036700004971894865,"why":"3 sources cover 1 evidence types. The latest dated evidence is 2026-09-07. Freshness is omitted unless observed as a signal.","sources":[{"kind":"human","label":"Compendium resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-09-07-microsoft-markitdown.md\nMarkItDown (microsoft/markitdown) is a lightweight Python utility that converts many file types to Markdown for LLMs and text-analysis pipelines. README positions it near textract, but focused on preserving structure (headings, lists, tables, links) as Markdown for models rather than high-fidelity human publishing.","at":"2026-09-07T00:00:00.000Z"},{"kind":"human","label":"Compendium resource card","excerpt":"for image descriptions, 3rd-party plugins (#markitdown-plugin), and an in-repo markitdown-mcp package (PyPI alpha 0.0.1a4 at capture).","at":"2026-09-07T00:00:00.000Z"},{"kind":"human","label":"Compendium resource card","excerpt":"Surfaces: CLI (markitdown path > out.md), Python API (MarkItDown().convert(...)), Docker example, optio","at":"2026-09-07T00:00:00.000Z"}],"evidence":"observed"},{"id":"benchmark","label":"Benchmarks","weight":0.12,"why":"insufficient evidence","sources":[],"evidence":"insufficient"}],"missing":["Agent use: insufficient evidence","Human notes: insufficient evidence","Composability: insufficient evidence","Benchmarks: insufficient evidence"]},"score":10}