A MarkTechPost guide highlights the growing open-source stack for turning PDFs and scanned documents into structured JSON. The article frames document extraction as a prerequisite for enterprise AI, because agents cannot reliably use information trapped in unstructured files.
The guide separates two tasks that are often blurred together: extracting raw document content and producing schema-controlled JSON that downstream systems can validate. That distinction matters for companies trying to move from demos to auditable workflows.
The trend also reflects a broader preference among some teams for local or self-hosted extraction pipelines, especially when documents contain sensitive business data.