Structured PDF-to-JSON: A Guide to Open-Source Extraction Models in 2026
重點摘要
Most enterprise data still sits inside PDFs, scans, and slide decks. Large language models and agents cannot use that data until it becomes structured JSON.
Most enterprise data still sits inside PDFs, scans, and slide decks.
Large language models and agents cannot use that data until it becomes structured JSON.
Open-source document extraction has become the standard way to do that conversion on your own hardware.
Two different problems hide under the phrase ‘PDF to JSON.
’ The first is schema-driven extraction: you define fields, and a model fills them with values.
The second is document parsing: a model reconstructs the page into structured JSON or Markdown.
Most teams need one, sometimes both.
Choosing the wrong category costs real time.
Open weights matter here for cost and privacy.
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