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结构化PDF转JSON:2026年开源提取模型指南

Structured PDF-to-JSON: A Guide to Open-Source Extraction Models in 2026

精选理由

这篇指南帮你分清两类PDF提取任务,不用纠结选哪个开源模型。适合自己搭管线的开发者。

AI 摘要

2026年,多数企业数据仍存储在PDF、扫描件和幻灯片中。开源文档提取模型可在本地硬件上将它们转为结构化JSON。但“PDF转JSON”涵盖两种不同问题:架构驱动提取和通用提取。选择合适的模型取决于目标格式和文档类型。

图片来源 · marktechpost
原文 · marktechpost

Structured PDF-to-JSON: A Guide to Open-Source Extraction Models in 2026

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 […] The post Structured PDF-to-JSON: A Guide to Open-Source Extraction Models in 2026 appeared first on MarkTechPost .