How To Build Your Own Agentic PDF-to-Markdown Converter

2026-05-04 · Source: AI Advances - Medium · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering · Depth: Intermediate, quick

Summary

This article details the construction of an agentic PDF-to-Markdown converter, addressing the complexities of real-world documents like multi-column layouts, scanned pages, and nested tables that fixed processing pipelines struggle with. The approach combines existing document processing tools with AI agent reasoning for enhanced flexibility and accuracy. Specifically, the pipeline utilizes Docling to extract initial PDF structure and Markdown, followed by a CrewAI-based AI agent designed to refine and improve Docling's output. This DIY method offers an alternative to commercial solutions like LandingAI’s ADE or LlamaParse’s agentic tier, enabling users to build a custom solution for robust document conversion.

Key takeaway

For AI Engineers building document processing solutions, adopting an agentic approach can significantly improve conversion quality for complex PDFs. You should consider integrating tools like Docling for initial extraction with AI agent frameworks such as CrewAI to create a flexible, iterative refinement pipeline. This strategy allows for handling diverse document layouts and content types more effectively than rigid, fixed-pipeline methods.

Key insights

Combining document processing tools with AI agents enhances PDF-to-Markdown conversion flexibility and accuracy.

Principles

• AI agents improve document processing.
• Flexible reasoning handles edge cases.

Method

Use Docling for initial PDF structure and Markdown extraction, then employ a CrewAI agent to iteratively refine and improve the output.

In practice

• Build custom PDF converters.
• Integrate Docling with CrewAI.

Topics

• Agentic AI
• PDF-to-Markdown
• Docling
• CrewAI
• Large Language Models

Best for: AI Engineer, Software Engineer, NLP Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI Advances - Medium.