pdfplumber: Extracting Data from PDFs with Ease and Precision
This repository profile is provided by osrepos.com, an open source repository discovery platform.

Summary
pdfplumber is a powerful Python library designed to extract detailed information from PDFs, including characters, rectangles, and lines. It excels at easily extracting text and tables, making it an invaluable tool for data analysis and automation. Built on pdfminer.six, it provides robust PDF parsing capabilities.
Repository Information
Topics
Click on any tag to explore related repositories
Use at your own risk
OSRepos shares public repositories for knowledge and discovery only. Any installation, execution, configuration, or use of code from these repositories is the user's own responsibility. Always review the repository, source code, dependencies, licenses, and security implications before running or installing anything. OSRepos is not responsible for issues, damages, or losses resulting from third-party repositories.
Introduction
pdfplumber is a Python library that helps you extract detailed information from PDFs. It allows you to 'plumb' a PDF for data about each character, rectangle, line, and more, making it straightforward to extract text and tables. With its robust features, pdfplumber is an excellent choice for anyone needing to programmatically access and analyze PDF content.
Installation
To get started with pdfplumber, simply install it using pip:
pip install pdfplumber
Examples
Command Line Interface
pdfplumber also offers a command-line interface for quick data extraction. For example, to extract all objects from a PDF into a CSV file:
curl "https://raw.githubusercontent.com/jsvine/pdfplumber/stable/examples/pdfs/background-checks.pdf" > background-checks.pdf
pdfplumber background-checks.pdf > background-checks.csv
This command will output a CSV file containing information about every character, line, and rectangle in the PDF.
Python Library
For more complex tasks, you can use pdfplumber as a Python library:
import pdfplumber
with pdfplumber.open("path/to/file.pdf") as pdf:
first_page = pdf.pages[0]
print(first_page.chars[0])
This snippet opens a PDF, accesses its first page, and prints the details of the first character found on that page.
Why Use pdfplumber?
pdfplumber stands out for several reasons, making it a preferred choice for PDF data extraction:
- Detailed Object Information: It provides granular access to every element within a PDF, including characters, lines, rectangles, and curves, complete with their precise coordinates and attributes.
- Advanced Text and Table Extraction: Beyond simple text extraction, pdfplumber offers sophisticated methods to extract structured text and tables, even from complex layouts, with highly customizable settings.
- Visual Debugging: Its integrated visual debugging tools allow you to see exactly how the library interprets a PDF, overlaying detected objects and table structures onto the page image. This feature is invaluable for fine-tuning extraction parameters.
- Built on
pdfminer.six: Leveraging the robust parsing capabilities ofpdfminer.six, pdfplumber adds layers of functionality specifically tailored for data extraction. - Focused Functionality: Unlike libraries that aim for broad PDF manipulation, pdfplumber focuses intensely on extraction, providing deep and powerful tools for this specific task.
Links
You can find more information, contribute, or report issues on the official GitHub repository:
Related repositories
Similar repositories that may be relevant next.

vue-pdf-embed: A Robust PDF Embed Component for Vue 2 and Vue 3
June 20, 2026
vue-pdf-embed is a powerful and easy-to-use PDF embed component designed for Vue applications. It supports both Vue 2 and Vue 3, offering features like password-protected document handling, text and annotation layers, and no external peer dependencies. This component simplifies the integration of PDF viewing directly into your web projects.

PDF Craft: Convert Scanned PDF Books to Markdown and EPUB
March 9, 2026
PDF Craft is a Python library designed to convert PDF files, especially scanned books, into various formats like Markdown and EPUB. Leveraging DeepSeek OCR, it accurately extracts text, tables, and formulas while preserving document structure. The project offers a fast, local conversion process, making it ideal for digitizing complex documents.

text-extract-api: Advanced Document Extraction, OCR, and PII Removal with LLMs
October 12, 2025
text-extract-api is a powerful API designed for extracting and parsing text from various document formats, including PDF, Word, and PPTX. It utilizes modern OCRs and Ollama-supported LLMs for highly accurate text extraction, PII removal, and conversion to structured JSON or Markdown, all while maintaining data privacy through its self-hosted architecture.
Source repository
Open the original repository on GitHub.