pdfminer.six is a Python library for extracting and analyzing text and other content from PDF documents.
The tool addresses the problem of reliably extracting structured information from PDF files by parsing the PDF source code directly rather than relying on rendered output. It works by breaking down PDF documents into their constituent components—text, images, fonts, and layout information—and exposing these through a modular architecture. This approach allows extraction of not just text content but also precise positioning, font details, color information, and embedded images. The library handles complex PDF features including CJK languages, vertical writing, multiple font types, various compression schemes, encryption, and interactive forms.
Adoption makes sense for projects that need programmatic PDF content extraction in Python, particularly those requiring accurate text positioning or multi-language support. The tool suits both simple text extraction tasks via its high-level API and complex document analysis through its modular, replaceable components. The library's support for extracting content as text, HTML, or hOCR format, combined with automatic layout analysis, makes it useful for document conversion and OCR workflows. It is a community-maintained fork of the original PDFMiner project.
The project receives substantial real-world usage, as evidenced by the fact that nearly all open issues originate from external users rather than the core team. However, response times to issues and pull requests are slow, with weeks or longer commonly passing before initial engagement. Work in the issue tracker centers on bug fixes and fuzzing-related improvements, with accepted issues forming the bulk of tracked work.
