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Source channel @githubtrending · Post #15573 · 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

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Tutto Elezioni

@tuttoelezioni · Post #1356 · 10/27/2025, 07:15 AM

#Argentina🇦🇷 #Parlamentari Risultati parziali. Camera dei deputati. Sezioni scrutinate: 108.125/108.992 (99,20%). 🟪 La Libertà Avanza (#LLA|Libertaristi di destra): 40,65% (64) 🟦 Forza Patria (#FP|Centrosinistra peronista): 24,31% (31) 🟦 Province Unite (#PU|Centro): 4,96% (5) 🟥 Fronte di Sinistra (#FITU|Trotskisti): 3,71% (3) 🟦 Fronte Prima il Tucumán (#FTP): 2,28% (2) 🟥 Fronte Civico per Santiago (#FCS): 1,23% (2) 🟦 Forza Giustizialista Mendoza (#FJM): 1,10% (1) 🟦 Forza Entre Ríos (#FER): 1,06% (2) 🟪 Proposta federale per il cambiamento (#PFC): 1,05% (0) Altri: 19,65% (17) N.B.: Tra parentesi sono indicati i seggi ottenuti. @TuttoElezioni