TGTGInsighttelegram intelligenceLIVE / telegram public index
← GitHub Trends

TGINSIGHT SIMILAR POSTS

Find similar content

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

Results

2 similar posts found

Search: #mrr

当前筛选 #mrr清除筛选
Venture Village Wall 🦄

@venturevillagewall · Post #4239 · 02/25/2025, 01:00 PM

AI Startup Hits $10K Monthly Revenue AI project ReelFarm generates viral TikTok videos using templates. Recent success: over $10k MRR within the first month. Case study: an online store achieved 100k+ views without high production costs. Industry trend: growth in accessible, low-cost video creation tools. For aspiring project creators, checklist available. #AI#Video#Marketing#TikTok#Startup#Viral#MRR#ContentCreation#SocialMedia#Innovation#TechTrends#Entrepreneurship#ReelFarm#DigitalMarketing#BusinessGrowth#MicroSAAS#Entrepreneurs#VideoMarketing#DIY#Creators

Libertà è ragione

@libertaeragione · Post #4303 · 11/25/2024, 02:34 PM

#Elezioni#Romania#Presidenziali Risultati definitivi: Affluenza: 52,55% Călin #Georgescu: 22,94% Elena #Lasconi (#USR|RE): 19,18% Marcel #Ciolacu (#PSD|S&D): 19,15% George #Simion (#AUR|ECR): 13,86% Nicolae #Ciucă (#PNL|EPP) 8,79% Mircea #Geoană (supp. #MRR)|Centristi nazionalisti|G/EFA: 6,32% Hunor #Kelemen (#UDMR|EPP): 4,51% Cristian #Diaconescu: 3,1% Cristian #Terheș (#PNCR|ECR): 1,04% Ana #Birchall: 0,46% Ludovic #Orban (#FD|Centro-destra populista): 0,22% Sebastian #Popescu (#PNR|Populisti): 0,16% Alexandra #Păcuraru (#ADN|Centro-sinistra): 0,16% Silviu #Predoiu (#PLAN|Centro): 0,12% In foto, la mappa del voto, by @tuttoelezioni. Necessario un secondo turno tra Georgescu e Lasconi. @OsservatorioEsteri