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Microsoft MarkItDown

基于 MarkItDown 的格式转换 Skill,可将 PDF、Word、Excel、PPT、图片、音频、HTML、CSV、JSON、XML、ZIP、EPUB、Outlook 等文件及 YouTube 链接转为 Markdown,支持 CLI 与 Python API,并可选用 LLM 或 Azure 增强图像描述与 OCR。

openlark
openlark
热度 43.97
最近更新 2026-05-11 17:42:20
分类:效率依赖:代码执行 / 读写文件 / 第三方 API / 内部调用大模型应用场景:文件转换 / 数据处理 / 工作流

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add microsoft-markitdown
Metadata
name
microsoft-markitdown
description
Use MarkItDown to convert various files (PDF, Word, Excel, PPT, images, audio, HTML, CSV, JSON, etc.) to Markdown format for LLM processing and text analysis. Also supports content extraction from ZIP archives, YouTube videos, and EPUB e-books.

Microsoft MarkItDown

A Python tool for converting various file types to Markdown format.

Use Cases

Use this skill when users mention scenarios like "convert file to Markdown," "extract document content," "file to Markdown," or "extract text from PDF/Word/Excel."

Installation

pip install 'markitdown[all]'

Optional dependency group installations (to save space):

Tag Description
[pptx] PowerPoint files
[docx] Word files
[xlsx] Excel files
[xls] Legacy Excel files
[pdf] PDF files
[outlook] Outlook emails
[az-doc-intel] Azure Document Intelligence
[audio-transcription] Audio transcription (wav/mp3)
[youtube-transcription] YouTube video transcription

Command Line Usage

# Basic usage: output to stdout
markitdown path-to-file.pdf > document.md

# Specify output file
markitdown path-to-file.pdf -o document.md

# Pipe input
cat path-to-file.pdf | markitdown

# Use Azure Document Intelligence
markitdown path-to-file.pdf -o document.md -d -e "<document_intelligence_endpoint>"

# List installed plugins
markitdown --list-plugins

# Enable plugins
markitdown --use-plugins path-to-file.pdf

Python API Usage

from markitdown import MarkItDown

md = MarkItDown(enable_plugins=False)  # True to enable plugins
result = md.convert("test.xlsx")
print(result.text_content)

With LLM Image Description (Only supports pptx and image files)

from markitdown import MarkItDown
from openai import OpenAI

client = OpenAI()
md = MarkItDown(llm_client=client, llm_model="gpt-4o", llm_prompt="optional custom prompt")
result = md.convert("example.jpg")
print(result.text_content)

With Azure Document Intelligence

from markitdown import MarkItDown

md = MarkItDown(docintel_endpoint="<document_intelligence_endpoint>")
result = md.convert("test.pdf")
print(result.text_content)

Using markitdown-ocr Plugin (OCR for Images Embedded in PDF/DOCX/PPTX/XLSX)

from markitdown import MarkItDown
from openai import OpenAI

md = MarkItDown(
    enable_plugins=True,
    llm_client=OpenAI(),
    llm_model="gpt-4o",
)
result = md.convert("document_with_images.pdf")
print(result.text_content)

Supported Formats Overview

Format Extensions Dependency Tag
PDF .pdf [pdf]
PowerPoint .pptx [pptx]
Word .docx [docx]
Excel .xlsx / .xls [xlsx] / [xls]
Images .jpg/.png etc. Built-in (OCR requires [audio-transcription] + LLM)
Audio .mp3/.wav [audio-transcription]
HTML .html Built-in
CSV/JSON/XML .csv/.json/.xml Built-in
ZIP .zip Built-in (iterates contents)
YouTube URL [youtube-transcription]
EPUB .epub Built-in
Outlook .msg [outlook]

Agent Execution Workflow

When a user requests file conversion:

  1. Confirm Input File: Obtain the file path.
  2. Install Dependencies: Check if markitdown is installed and suggest installing corresponding dependencies based on the file type if needed.
  3. Execute Conversion:
    • Command line: markitdown <file> -o <output.md>
    • Or Python API.
  4. Return Result: Output the Markdown content or the saved file path.

Notes

  • Python 3.10+ is required.
  • Using a virtual environment is recommended to avoid dependency conflicts.
  • The OCR plugin requires an LLM API Key (e.g., OpenAI).
  • Azure Document Intelligence requires an Azure account configuration.