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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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@AlterTG · Post #3176 · 08/21/2021, 06:38 PM

Установка Kotatogram на macOS¹: 1. Открываем dmg файл 2. Копируем Kotatogram из dmg образа 3. Кладём его в "/Applications"² через шестерёнку 4. Запускаем терминал³ 5. Вводим "xattr -r -d com.apple.quarantine /Applications/Kotatogram.app" 6. Запускаем Kotatogram из папки Applications ¹ - Требуется macOS Catalina или новее ² - Папка «Программы» в Finder ³ - Launchpad → Поиск → Терминал Спасибо за подсказки: @IlyaFedin, @smartman_ru, @Kylmakalle #Install#Run#Kotatogram#macOS#Catalina #Установка#Запуск#Котатограм#макос#макось