Skip to main content

Opinionated Markdown converter with native LLM enhancement support

Project description

Markitai

PyPI Python CI License: MIT

Opinionated Markdown converter with native LLM enhancement support.

  • Multi-format: DOCX, PPTX, XLSX, PDF, TXT, MD, images (JPG/PNG/WebP), and URLs → clean Markdown
  • LLM enhancement: AI-powered format cleaning, frontmatter metadata, and vision analysis of embedded images — via litellm, so any provider works (OpenAI, Anthropic, Gemini, local CLIs, ...)
  • Batch processing: concurrent conversion with progress display and --resume for interrupted jobs
  • OCR: scanned PDFs and images via RapidOCR
  • Web fetching: static HTTP with cache revalidation, or Playwright rendering for JS-heavy pages

Docs: https://markitai.dev

Install

Recommended — guided installer. Checks/installs Python and uv, lets you pick extras, installs optional components (Playwright browser, LibreOffice, FFmpeg), offers China-mainland mirror acceleration, and is bilingual (EN/中文):

# Linux/macOS
curl -fsSL https://markitai.dev/setup.sh | sh
# Windows (PowerShell)
powershell -ExecutionPolicy ByPass -c "irm https://markitai.dev/setup.ps1 | iex"

Minimal — uv / pip, if you already have Python 3.11–3.14 and just want the package:

uv tool install "markitai[all]"     # isolated environment (recommended)
pipx install "markitai[all]"        # or pipx

After a uv/pip install, do the setup steps the guided installer would have done for you:

markitai doctor           # check what's installed / missing
markitai doctor --fix     # install the Playwright Chromium browser if you use --playwright
markitai init             # create a config and set up an LLM provider

Both installs provide the markitai command and the shorter mkai alias — they are the same command (mkai --help == markitai --help). If you already have a different mkai on your PATH, use the full markitai to avoid ambiguity.

Extras

Extra Enables
browser Playwright rendering for JS-heavy pages
claude-agent Claude Agent SDK as an LLM provider
copilot GitHub Copilot SDK as an LLM provider
extra-fetch curl-cffi HTTP client (better anti-bot compatibility)
kreuzberg Kreuzberg extraction backend
svg SVG rasterization via cairosvg
all Everything above

Quick start

markitai document.pdf -o out/            # convert a file
markitai https://example.com -o out/     # convert a URL
markitai ./docs -o out/ --llm            # batch convert with LLM enhancement
markitai document.pdf --preset rich      # LLM + alt text + descriptions + screenshots
markitai doctor                          # check dependencies and configuration
markitai init                            # interactive configuration setup

See the Getting Started guide for LLM configuration, presets, caching, and batch options.

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

markitai-0.17.0.tar.gz (7.9 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

markitai-0.17.0-py3-none-any.whl (571.1 kB view details)

Uploaded Python 3

File details

Details for the file markitai-0.17.0.tar.gz.

File metadata

  • Download URL: markitai-0.17.0.tar.gz
  • Upload date:
  • Size: 7.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for markitai-0.17.0.tar.gz
Algorithm Hash digest
SHA256 a47fe41c9fece88feda615794aaafa81f20b37139b6859ceebb7f00e7cb36488
MD5 e4afe8f6cbff98e1c655daf649eec224
BLAKE2b-256 7cf50808b1c361aa44efaf328c41209514fc662dab4b4090f2169c48225b1b2e

See more details on using hashes here.

Provenance

The following attestation bundles were made for markitai-0.17.0.tar.gz:

Publisher: publish.yml on Ynewtime/markitai

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file markitai-0.17.0-py3-none-any.whl.

File metadata

  • Download URL: markitai-0.17.0-py3-none-any.whl
  • Upload date:
  • Size: 571.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for markitai-0.17.0-py3-none-any.whl
Algorithm Hash digest
SHA256 9c3ac6236f95c29721764411fc73cba6f4efec17ae96a5946604ef6aa289a638
MD5 992611bbb222972f62e89d23ba6efc88
BLAKE2b-256 4763ee7c186ef521dd4ae46f663c19124c8de7eea912dbba9c90a11cc64f1488

See more details on using hashes here.

Provenance

The following attestation bundles were made for markitai-0.17.0-py3-none-any.whl:

Publisher: publish.yml on Ynewtime/markitai

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page