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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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Venture Village Wall 🦄

@venturevillagewall · Post #4286 · 03/02/2025, 01:00 PM

CZ Proposes New Token Unlock Model 🔵 CZ proposes a tokenomics model linking unlocks to price growth and time, reducing market impact. 😏 Initial 10% sold for development. 😏 Unlock every 6 months, contingent on 2x price increase maintained for 30 days. 😏 Max 5% unlock each time. ❓ Market implications include lack of sell pressure from mass unlocks and encouraging long-term projects. 🔴 Critics argue it could disadvantage small teams reliant on token price. Could this model reshape token economies? Read more: Link #CZ#Tokenomics#Crypto#Blockchain#Ethereum#MarketTrends#Investing#DeFi#Finance#Startups#Innovation#LongTerm#SmartContracts#PriceGrowth#Unlocks#Community#PricingModel#InvestmentStrategies#ElonMusk#HongKong