Transforming unstructured documents such as PDF files and scanned images into structured or semi-structured formats is a key part of artificial intelligence. However, due to the intricate nature of PDFs and the complexity of PDF Parsing tasks, this process takes on an air of mystery.

This series of articles is dedicated to demystifying PDF Parsing. In the previous article, we introduced the main task of PDF parsing, categorized the existing methods and provided a brief introduction to each.

In this article, we focus on the pipeline-based method. We start with an overview, then introduce the implementation strategies of several representative pipeline-based PDF parsing frameworks, sharing the insights we’ve gained.