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MarkItDown

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.

MCP declaredAPI not recordedCost unknownLicence unknown

Interface

mcp

Model Context Protocol server

Interface

cli

Command-line interface

Plan with MarkItDownOpen homepageOpen repositoryRead docs

[ Observed sample ]

Frequency in Leyline's observed sample

The count is distinct observed stacks. It is not a Score input.

This component is not in Leyline's observed sample.

Record cmp_markitdown

Open ranks

[ Score explain ]

Why the Score is 10

How Score works

Score v2 uses only observed signals. The displayed contribution is weight × value × 100. Missing factors are insufficient evidence.

Score factor

GitHub health

18% weight. Documentation is available.

Value 0.15 · 2.7 points

18% weight × 0.15 value

2.7 points

Documentation is available.

Score factor

Agent use

16% weight. insufficient evidence

insufficient evidence

insufficient evidence

insufficient evidence

insufficient evidence

Score factor

Human notes

14% weight. insufficient evidence

insufficient evidence

insufficient evidence

insufficient evidence

insufficient evidence

Score factor

Composability

16% weight. insufficient evidence

insufficient evidence

insufficient evidence

insufficient evidence

insufficient evidence

Score factor

Checklist

10% weight. An MCP surface is declared. No API is declared. Cost is unknown. 1 of 3 checklist fields are complete.

Value 0.33 · 3.3 points

10% weight × 0.33 value

3.3 points

An MCP surface is declared. No API is declared. Cost is unknown. 1 of 3 checklist fields are complete.

Score factor

Evidence quality

14% weight. 3 sources cover 1 evidence types. The latest dated evidence is 2026-09-07. Freshness is omitted unless observed as a signal.

Value 0.26 · 3.7 points

14% weight × 0.26 value

3.7 points

3 sources cover 1 evidence types. The latest dated evidence is 2026-09-07. Freshness is omitted unless observed as a signal.

Score factor

Benchmarks

12% weight. insufficient evidence

insufficient evidence

insufficient evidence

insufficient evidence

insufficient evidence

Total9.70 → 10 after rounding

Agent use: insufficient evidence

Human notes: insufficient evidence

Composability: insufficient evidence

Benchmarks: insufficient evidence

[ Claims ]

Publisher-asserted record

Claims are what the publisher declares. Score uses observed signals, not these assertions, except for checklist fields derived from interfaces. MCP, API, cost, and license claims are marked verified, unverified, or contradicted from intake evidence.

Kind
resource
Interfaces

Interface

mcp

Model Context Protocol server

Interface

cli

Command-line interface

Functions

Function

Connect

speak a protocol (MCP, API, CLI)

Connect Browse Connect
Tags
Modality

modality

Text

The tool's main output is written language.

Text Browse Text

[ Capability slices ]

Compose the useful parts.

connect

Connect

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.

unknownCompose with this

[ Relations ]

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[ Signals ]

Observed evidence and source claims

Signals carry source, method, and observedAt. Source review dates and evidence basis are shown separately. Unobserved metrics stay insufficient evidence.

  • human
    Catalogue resource card ×3

    Evidence basis unknown · Check date unknown · Source date 2026-09-07

No social source is stored.

Suggest a correction

Propose a change with a public source. Corrections wait for review before the card changes.

[ Notes ]

No notes are stored.