MarkItDown vs pdfplumber
Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.
Open source · MIT
Python tool that converts files like PDF, Word, Excel and PowerPoint into Markdown.
Open source · MIT
Python library that extracts text, characters, lines, rectangles and tables from PDFs.
The short answer
Choose MarkItDown if you need…
- Developers building LLM or text analysis pipelines that need document text
- People who want to convert a batch of PDFs or Office files to Markdown from the command line
- Projects that need a Python library to add document conversion to existing code
Choose pdfplumber if you need…
- Python developers pulling tables or text out of machine-generated PDFs
- Analysts who need to turn report PDFs into CSV or JSON
- People who need exact coordinates of text or lines on a page
- Anyone debugging why a PDF extraction looks wrong, using its visual debugging feature
Side-by-side
| MarkItDown | pdfplumber | |
|---|---|---|
| Type | Library | Library |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 193k | 10.9k |
| Setup difficulty | Beginner | Beginner |
| How you get it | Install with a package manager | Install with a package manager |
| Main language | Python | Python |
| Last code update | 8 days ago | 22 days ago |
What each one is
MarkItDown
MarkItDown is a Python utility that turns many common file types, such as PDFs, Office documents, HTML, images, audio and YouTube links, into Markdown text. It keeps structure like headings, lists, tables and links. People use it mainly to prepare documents as plain text for large language models and text analysis pipelines.
pdfplumber
pdfplumber is a Python library and command-line tool for reading PDF files. It reports detailed position and style information for each text character, rectangle, and line on a page, and can pull out text and tables. It is built on the pdfminer.six parser and works best on PDFs generated by software rather than scanned images.
Best for
MarkItDown
- Developers building LLM or text analysis pipelines that need document text
- People who want to convert a batch of PDFs or Office files to Markdown from the command line
- Projects that need a Python library to add document conversion to existing code
pdfplumber
- Python developers pulling tables or text out of machine-generated PDFs
- Analysts who need to turn report PDFs into CSV or JSON
- People who need exact coordinates of text or lines on a page
- Anyone debugging why a PDF extraction looks wrong, using its visual debugging feature
Strengths
MarkItDown
- Preserves document structure such as headings, lists, tables and links
- Supports many formats from one tool, with optional dependencies you can install selectively
- Has a Python API and command line interface, plus optional third-party plugins
pdfplumber
- Exposes detailed per-object data such as characters, lines, rectangles and curves
- Includes table extraction and visual debugging in one package
- Has a simple Python API and a command line interface with CSV, JSON and text output
Not ideal for
MarkItDown
- Anyone needing high-fidelity layout for human reading, since the README says output is meant for text analysis tools and may not be the best for human consumption
- Untrusted environments without input sanitizing, because the tool runs with the current process's file and network access
- Users who need video conversion from the built-in converters, since the README says only the Azure Content Understanding option supports video
pdfplumber
- Scanned PDFs, since the README says it works best on machine-generated rather than scanned PDFs and does not describe OCR
- Non-Python projects, since it is a Python library
- People who only need to create or edit PDFs, since the README covers reading and extraction only
Trade-offs
MarkItDown
- The README says output is designed for machines and may not suit high-fidelity human reading
- Some conversions, such as cloud-based Azure options, are billable and require external endpoints
- Converting with untrusted inputs requires care because it accesses resources the process can reach
pdfplumber
- The README says it works best on machine-generated PDFs, so scanned documents are a poor fit
- Depends on pdfminer.six, so parsing quality follows that engine's limits
- The README is truncated here, so details on table extraction settings are not covered in this entry
Getting started
MarkItDown
Install with pip (all optional dependencies)
pip install 'markitdown[all]'Frequently asked questions
What is the difference between MarkItDown and pdfplumber?
MarkItDown: Python tool that converts files like PDF, Word, Excel and PowerPoint into Markdown. pdfplumber: Python library that extracts text, characters, lines, rectangles and tables from PDFs. MarkItDown suits developers building llm or text analysis pipelines that need document text, while pdfplumber suits python developers pulling tables or text out of machine-generated pdfs.
Are MarkItDown and pdfplumber free?
MarkItDown: Free and open source. pdfplumber: Free and open source.
Is MarkItDown or pdfplumber more popular?
MarkItDown has more GitHub stars (193k) than pdfplumber (10.9k). Popularity isn't the same as fit — check which one matches your use case above.
What are other alternatives to MarkItDown and pdfplumber?
Other options people compare them with include pdf-inspector, Docling.
Keep comparing
Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.