markit

markit

Convert anything to markdown. PDF, DOCX, PPTX, XLSX, HTML, EPUB, Jupyter, RSS, images, audio, URLs, and more. Works as a CLI and as a library.

npm install -g @shiftlabs/markit

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Quick Start

# Documents
markit report.pdf
markit document.docx
markit slides.pptx

# Data
markit data.csv
markit config.json
markit schema.yaml

# Web
markit https://example.com/article
markit https://en.wikipedia.org/wiki/Markdown

# Media
markit photo.jpg                          # EXIF metadata
markit recording.mp3                      # Audio metadata

# Text only, skipping image extraction
markit report.pdf --no-images

# Write to file
markit report.pdf -o report.md

# Pipe it
markit report.pdf | pbcopy
markit data.xlsx -q | napkin create "Imported Data"

---

Supported Formats

Format	Extensions	How
PDF	.pdf	Built-in Rust engine
Word	.docx	Built-in Rust engine; headings, images, and tables
PowerPoint	.pptx	Built-in Rust engine; slides, notes, and tables
Excel	.xlsx	Built-in Rust engine; sheets become markdown tables
HTML	.html .htm	Built-in Rust engine; scripts/styles stripped
EPUB	.epub	Built-in Rust engine; spine-ordered chapters
Jupyter	.ipynb	Built-in Rust engine; cells and outputs
RSS/Atom	.rss .atom .xml	Built-in Rust engine; dated feed items
CSV/TSV	.csv .tsv	Built-in Rust engine; markdown tables
JSON	.json	Built-in Rust engine; formatted code block
YAML	.yaml .yml	Built-in Rust engine; code block
XML/SVG	.xml .svg	Built-in Rust engine; code block
Images	.jpg .png .gif .webp	Built-in Rust metadata extraction
Audio	.mp3 .wav .m4a .flac	Built-in Rust metadata extraction
ZIP	.zip	Built-in Rust recursive conversion
URLs	http:// https://	Rust fetcher with markdown negotiation
Wikipedia	*.wikipedia.org	Built-in Rust main-content extraction
Code	.py .ts .go .rs ...	Built-in Rust fenced code block
Plain text	.txt .md .rst .log	Built-in Rust pass-through

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Benchmarks

Non-OCR PDF to Markdown: parsers that read the text layer already inside a PDF, with no OCR and no model calls. Measured on one machine, with image extraction off for every parser.

	markit	liteparse	anydoc
olmOCR-bench score	45.0%	38.8%	31.2%
shitty-pdf-bench text recovered	100.0%	83.2%	91.0%
shitty-pdf-bench conversion time	23.2s	55.4s	322.2s

olmOCR-bench is AllenAI's public benchmark. shitty-pdf-bench is ours: 40 hash-pinned public PDFs, 50,884 pages of semiconductor manuals, standards, RTL documents, scans, and malformed files.

Against the wider non-OCR field, on a 16-document subset covering 3,476 pages and 52 sampled passages:

	markit	liteparse	anydoc	pypdf	pdfplumber	markitdown	pymupdf4llm
Text recovered	100.0%	98.1%	94.2%	84.6%	73.1%	73.1%	90.4%
Pages/s	3,612	486	247	70	31	25	11

Method, provenance, and per-category results are in rust/BENCHMARKS.md; the harness that reproduces them is in benchmark/.

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For Agents

Every command supports --json. Raw markdown with -q.

markit report.pdf --json       # Structured output for parsing
markit report.pdf -q           # Raw markdown, nothing else
markit onboard                 # Add instructions to CLAUDE.md

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SDK

markit is also a Node library. Every format uses the same bundled Rust engine as the CLI on supported macOS and Linux platforms—there is no second fallback implementation:

import { Markit } from "@shiftlabs/markit";

const markit = new Markit();
const { markdown } = await markit.convertFile("report.pdf");
const { markdown } = await markit.convertUrl("https://example.com");
const { markdown } = await markit.convert(buffer, { extension: ".docx" });

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CLI Reference

markit                           # Convert file or URL
markit  -o output.md             # Write to file
markit  --json                   # JSON output
markit  -q                       # Raw markdown only
markit  --no-images              # Skip image extraction
markit  -i ./images              # Extract images to a directory
cat file.pdf | markit -                  # Read from stdin
markit formats                           # List supported formats
markit onboard                           # Add to CLAUDE.md

---

Development

bun install
bun run build:native
bun run dev -- report.pdf
bun test
bun run check
cd rust && cargo test

Distribution

Releases publish @shiftlabs/markit plus six scoped native binary packages for macOS and Linux (x64/ARM64, glibc/musl). npm selects the matching binary through optionalDependencies. The former markit-ai package is a deprecated compatibility shim that re-exports this SDK.

# 1. Update the same version in package.json, rust/Cargo.toml,
#    and npm/*/package.json.
# 2. Verify locally.
bun run verify

# 3. Tag and push. GitHub Actions builds and publishes all seven packages.
git tag v0.6.0
git push origin v0.6.0

The release workflow requires an npm automation token in the repository secret NPM_TOKEN. It publishes platform packages first through napi prepublish, then @shiftlabs/markit, then the deprecated markit-ai shim, and finally creates the GitHub release.

License

MIT