Jacob Collins Jacob is a Java developer and the product manager of JPedal

How to process PDFs for use with AI (Tutorial)

1 min read

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As Artificial Intelligence becomes more popular for processing large bodies of text, it becomes apparent that PDF files pose a challenge. PDF is a binary format and text within PDF files are often compressed or made up of paint commands which an LLM cannot understand.

PDFs for AI Processing?

For an AI to be able to process and ingest a PDF file, it is necessary to perform some pre-processing to extract the text. LLMs, like GPT-4, rely on scraping plain text, which would need to be extracted. Increasingly, SEO is being replaced by AI search and since PDFs are often compressed, it may not be the best document format for increasing searchability.

Furthermore tables, multi-column layouts, footnotes, headers, or floating boxes are visually logical to a human but not to an AI without layout guidance.

How we solved this problem

Our Java PDF library, JPedal, can do just that! It supports many different output formats, including HTML, JSON, TXT, and XML – all of which are AI-compatible formats commonly used for training and processing models.

For most PDF files, you will only be able to extract plain text, however some files contain additional structured content tags which define a semantic structure to the document. For these files, you will be able to generate HTML, JSON, or XML output.

Using a few lines of Java Code…

To achieve this with JPedal, you may use the following code snippet:

This tutorial explained how you can process PDFs for AI. You can learn more about extracting text from PDF files.

You can read our other articles to learn more about PDFs as we have been working on the format for more than a decade!



Our software libraries allow you to

Convert PDF to HTML in Java
Convert PDF Forms to HTML5 in Java
Convert PDF Documents to an image in Java
Work with PDF Documents in Java
Read and Write AVIF, HEIC, WEBP and other image formats
Jacob Collins Jacob is a Java developer and the product manager of JPedal