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Tag: #pdf_parser · 2 posts
Posted Mar 19
#java#a11y#accessibility#ai#bounding_box#document_parsing#eaa#html#json#markdown#ocr#ocr_recognition#pdf#pdf_accessibility#pdf_converter#pdf_extraction#pdf_parser#pdf_ua#rag#tables#tagged_pdf OpenDataLoader PDF is a free, open-source tool (Apache 2.0) that tops benchmarks with 0.90 accuracy for extracting structured data like Markdown, JSON (with bounding boxes), and HTML from any PDF—digital, scanned, or complex with tables, formulas, charts, and OCR in 80+ languages. It runs locally on CPU (0.05s/page fast mode), filters AI prompt injections for safety, integrates with LangChain/RAG, and automates accessibility tagging to Tagged PDF. You save time and costs on parsing for AI pipelines or compliance (vs. $50–200/manual doc), getting precise, private results for better LLM apps and legal standards. https://github.com/opendataloader-project/opendataloader-pdf
Posted Sep 24
#python#document_analysis#layout_analysis#ocr#parser#pdf#pdf_converter#pdf_parser#python#vlm_ocr Dolphin is a smart AI tool that can analyze and understand complex document images, like pages with text, tables, formulas, and pictures. It works in two steps: first, it figures out the layout and reading order of the page; then, it quickly parses each element using special prompts. This makes it fast and accurate for turning document images into structured data like JSON or Markdown. You can use pre-trained models and easy code to process single pages, PDFs, or specific elements. This helps you save time and effort when extracting information from complicated documents efficiently. https://github.com/bytedance/Dolphin