--- title: "OpenDataLoader PDF: one tool and so many options!" url: https://daily.dev/posts/opendataloader-pdf-one-tool-and-so-many-options--b6atsaure source_url: https://blog.stackademic.com/opendataloader-pdf-one-tool-and-so-many-options-ab154bc69b0c type: article source: "Medium" published: 2026-07-05T06:49:01.030Z updated: 2026-07-05T06:50:27.521Z tags: ["accessibility", "rag"] reading_time: 5 upvotes: 2 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # OpenDataLoader PDF: one tool and so many options! **[Medium](https://daily.dev/sources/medium_js)** · 5 min read · 2 upvotes · 0 comments ## Summary OpenDataLoader PDF is an open-source tool for parsing PDFs and auto-tagging unstructured PDFs into screen-reader-ready Tagged PDFs. It offers multiple output formats (JSON, Markdown, HTML, Annotated PDF, Text), two processing engines (heuristic at 60+ pages/sec on CPU, and hybrid AI mode for complex documents), and configurable options for table detection, noise filtering, and reading order via the XY-Cut++ algorithm. The heuristic engine achieves 0.91 reading order accuracy; hybrid AI mode improves this to 0.934 and boosts table accuracy from 0.49 to 0.93. JSON output with bounding boxes targets RAG pipelines, while Markdown suits human readability. Auto-tagging is Apache 2.0 licensed; full PDF/UA-1 and PDF/UA-2 export is an enterprise add-on. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [How to Build a JSON Training Dataset from PDF Documents Without Manual Annotation](https://daily.dev/posts/how-to-build-a-json-training-dataset-from-pdf-documents-without-manual-annotation-z7plz1x08) · SitePoint · 1 upvotes · 0 comments - [Modal \+ Datalab: Deploy high-throughput document intelligence in <5 minutes](https://daily.dev/posts/modal-datalab-deploy-high-throughput-document-intelligence-in-5-minutes-d6syzolss) · Modal · 0 upvotes · 0 comments --- Tags: [#accessibility](https://daily.dev/tags/accessibility), [#rag](https://daily.dev/tags/rag) [View this post on daily.dev](https://daily.dev/posts/opendataloader-pdf-one-tool-and-so-many-options--b6atsaure)