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GitHub · firecrawl/pdf-inspector↑ +1,699 today

Fast and Native PDF Text Processing

PDF Inspector, developed by Firecrawl, is a fast Rust library designed to examine, classify and extract the text of PDF files. It enables intelligent routing decisions to be made in data processing processes by distinguishing scanned documents from text-based files.

Updates

  • September 28, 2026: Stars 19,360 → 19,394, latest release v1.25.2 (September 28, 2026).
  • September 27, 2026: Stars 19,121 → 19,360, latest release v1.24.0 (September 23, 2026).
  • September 15, 2026: Stars 18,994 → 19,121, latest release v1.20.0 (September 15, 2026).
  • September 10, 2026: Stars 18,936 → 18,994, latest release v1.19.0 (September 9, 2026).

What you get

  • Classifies PDF files in seconds
  • Converts texts to Markdown format without errors
  • No need for Optical Character Recognition (OCR) services

Installation

Installation with Python
pip install maturin
maturin develop --release
Installation with Node.js
npm install @firecrawl/pdf-inspector

If you don't write code

Paste this into your AI agent (Claude Code · Codex · Antigravity)

I need to analyze the PDF file I have. Classify this file to see if it is text-based or a scanned document. If it is text-based, convert it to a clean Markdown format, preserving the text, tables and headings. Determine the reading order correctly by using the file's own structure and font information, without using OCR.

Repository: https://github.com/firecrawl/pdf-inspector. Follow the official instructions in the README of this repository for setup and execution.

Before starting, check which OS we are on and if the necessary tools (e.g., Python, Node.js, Git, Docker) are installed. Install any missing ones step-by-step according to this system.

Create a new, empty folder to work in. Do not touch any files outside this folder and do not delete anything. Tell me what you are going to do in one sentence before running each command.

Tell me what I should see on the screen at the end of each step. If an error occurs, I will paste the error message to you exactly as it is, and we will fix it together.

Related dictionary terms

Who it is forSuitable for developers who need structured text data quickly, such as reports, financial documents, or research articles.
LicenseMIT

Links

TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-08-04: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. The introductory text was prepared with AI from the repository's own documentation, and this page was machine-translated from the Turkish original · the Turkish version prevails.