The official home of PDFPlumer — a reliable, open-source solution crafted to help developers extract structured data from PDF files with ease and precision. We are a passionate community of engineers, researchers, and open-source advocates united by a single purpose: to make PDF parsing intuitive, transparent, and robust for all.
Who We Are
We’re developers, data analysts, document engineers, and tech enthusiasts who understand the challenges of working with complex PDFs. With backgrounds spanning software architecture, data science, and automation, we built PDFPlumer to streamline document data extraction — not just for professionals, but for anyone who values control, accuracy, and efficiency.
Our Vision
We believe in demystifying PDF content. Whether you’re building automated workflows, conducting data audits, or training machine learning models, PDFPlumer empowers you to treat PDFs as data sources — not black boxes. Our mission is to unlock the full potential of documents without compromising on simplicity or reliability.
Why PDFPlumer?
PDFPlumer is more than just a parsing utility — it’s a thoughtfully designed Python library that gives you fine-grained control over text, tables, and layout-level data. From character positioning to whitespace-based table recognition, PDFPlumer exposes PDF internals in a developer-friendly way. No opaque APIs, no guesswork — just clean, inspectable data structures you can work with.
We support standard Python environments and integrate seamlessly with common data tools like Pandas, making PDFPlumer an ideal companion for data pipelines, report extraction systems, and research workflows.
Built for Real Use Cases
Whether you’re extracting invoices, parsing legal contracts, or converting lab reports, PDFPlumer is built to handle messy, real-world PDFs. With support for custom table detection, page layout analysis, and direct object inspection, the library adapts to your needs — not the other way around.
PDFPlumer’s API is designed with clarity and extensibility in mind. You can prototype in minutes and customize in depth, all within a familiar Pythonic ecosystem.
Community at the Core
Like all great open-source projects, PDFPlumer thrives on community involvement. Every feature, bug report, and idea makes it stronger. Whether you’re opening an issue, submitting a pull request, or writing tutorials, you’re contributing to a better tool for everyone.
We maintain an open, inclusive development process and welcome contributions of all kinds — from core improvements to documentation and example notebooks.
The Road Ahead
PDF technology is evolving, and so are we. Our future plans include enhanced table recognition, better multilingual text support, integration with AI models for smarter parsing, and expanded tooling for document QA and transformation.
As PDFPlumer continues to grow, our commitment remains unchanged: to make structured data extraction from PDFs accurate, developer-friendly, and accessible to all.
Thank you for choosing PDFPlumer as part of your document processing toolkit. Together, let’s make PDFs open, parseable, and powerful.