explaingit

maxjendrall/read_pdf_tool

Analysis updated 2026-05-18

7PythonAudience · developerComplexity · 2/5Setup · moderate

TLDR

A command-line tool that converts PDF files into clean Markdown text and a PNG image per page, designed to feed documents to AI agents with both text and visual snapshots.

Mindmap

mindmap
  root((repo))
    What it does
      Converts PDF to Markdown
      Creates PNG page snapshots
      Designed for AI agents
    Tech stack
      Python
      Mistral OCR
      Azure Document Intelligence
      uv package manager
    Use cases
      Feed PDFs to AI agents
      Visual PDF verification
      Automated document processing
    Setup
      Needs Mistral API key
      Interactive setup step
      Run via uvx without install
    Considerations
      Paid OCR service
      Documents sent to provider
      Text-only fallback available

Code map

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What do people build with it?

USE CASE 1

Convert a PDF into Markdown and images so an AI agent can answer questions about its contents.

USE CASE 2

Extract text from a range of PDF pages and save the Markdown to a specific file path.

USE CASE 3

Generate PNG snapshots of each PDF page for visual verification of OCR accuracy.

USE CASE 4

Pipe machine-readable results from the tool into another program or automated workflow.

What is it built with?

PythonMistral OCRAzure Document Intelligenceuvmarkitdown

How does it compare?

maxjendrall/read_pdf_toolalx-code/lingbot-video-1.3b-fp8andrevicencio/tmux-flash
Stars777
LanguagePythonPythonPython
Setup difficultymoderateeasy
Complexity2/52/5
Audiencedeveloperdeveloperdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 5min

Requires a paid Mistral API key and the uv package manager to install and configure.

The README does not mention a license, so usage terms are unknown.

In plain English

read_pdf_tool is a command-line program that converts a PDF file into clean Markdown text and one PNG image per page. The main goal is to give an AI agent both the extracted text and visual snapshots so it can answer questions about the PDF accurately. By default it uses a service called Mistral OCR, and Azure Document Intelligence is available as an alternative provider. To get started you need a tool called uv and a Mistral API key. You install the program with a single command, then run an interactive setup step that asks for your API key. The key is stored locally in a private file. Once configured, you run the program against a PDF and it prints the location of the generated files. You can also run it without installing by using uvx, which fetches the package on the fly. For each PDF the tool creates a timestamped output directory containing several files. There is a combined Markdown file with all pages, individual Markdown files per page, PNG snapshots for visual checking, a raw provider response, and a metadata file. Common options let you write the Markdown to a specific path, process only a range of pages, skip image generation, or print machine-readable results for other programs to consume. The intended workflow for agents is to run the tool, read the Markdown path from the summary, and inspect every PNG snapshot unless visual verification is unnecessary. If the tool fails, a text-only fallback called markitdown can be used, though the README notes it may produce lower-quality output. Configuration supports environment variables that override the local config file. The README also covers cost and privacy: PDF contents are sent to the chosen OCR provider, so you should not process documents you cannot share. Mistral OCR is paid, so checking current pricing is recommended. Troubleshooting guidance and local development instructions are included as well.

Copy-paste prompts

Prompt 1
I have a PDF at /path/to/file.pdf. Using read_pdf_tool, convert it to Markdown and PNG page images with the default Mistral OCR provider, then tell me where the output files were saved.
Prompt 2
I only need pages 5 through 10 of my PDF converted to Markdown. Use read_pdf_tool to process just that page range and write the combined Markdown to ./output.md.
Prompt 3
Using read_pdf_tool, convert my PDF but skip image generation since I only need the text. Print the results as machine-readable JSON so I can parse the Markdown file path in another script.
Prompt 4
Mistral OCR is not working for my PDF. Use the read_pdf_tool fallback option with markitdown to extract text-only Markdown and show me the output path.

Frequently asked questions

What is read_pdf_tool?

A command-line tool that converts PDF files into clean Markdown text and a PNG image per page, designed to feed documents to AI agents with both text and visual snapshots.

What language is read_pdf_tool written in?

Mainly Python. The stack also includes Python, Mistral OCR, Azure Document Intelligence.

What license does read_pdf_tool use?

The README does not mention a license, so usage terms are unknown.

How hard is read_pdf_tool to set up?

Setup difficulty is rated moderate, with roughly 5min to a first successful run.

Who is read_pdf_tool for?

Mainly developer.

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