2026 Guide to Open-Source PDF Structured Extraction Models
Decision Brief
What changedThis article explains how to use open-source models to convert enterprise data from PDFs, scans, and slides into structured JSON for LLMs and agents.
Why it mattersFor dev teams handling document extraction, this guide outlines deploying open-source solutions on private hardware to reduce data preprocessing costs.
Who should careAll AI builders
Affected stackNo specific stack identified
Source confidenceMedium · Reliable media or first-hand reporting
Most enterprise data remains in PDFs, scans, and slides. LLMs and agents can only use this data after conversion to structured JSON. Open-source document extraction models have become the standard way to perform this conversion on private hardware. The so-called 'PDF to JSON' actually covers two distinct problems: the first is schema-driven extraction.
Summary basis: official / RSS sourceCompiled from the source scope noted above; the original remains authoritative.
Sources
- MarkTechPost
Fast research-paper and ML tooling summaries, useful for infra and agent updates.
- MarkTechPost