LM-Kit.NET is a complete local AI runtime for .NET that lets engineering teams ship AI-powered features without cloud dependencies, per-token costs, or data leaving the network.
Most .NET AI integrations stop at inference. LM-Kit.NET covers the full range of capabilities production applications actually need: agentic workflows with tool calling, planning, and memory; document intelligence with OCR and structured extraction; retrieval-augmented generation with built-in vector storage; multilingual speech-to-text; vision and multimodal understanding; text analysis with classification, NER, PII extraction, and sentiment; and text generation with translation, summarization, and constrained output.
Ships in one NuGet package, runs in-process with no sidecar services, and works across all major hardware acceleration backends. Drop-in replacement for Semantic Kernel through its Microsoft.Extensions.AI compatibility layer.
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Oxylabs is a market leader in web intelligence with enterprise-grade, ethical, and compliant solutions.
Its proxy infrastructure spans one of the largest global networks, offering residential, ISP, mobile, datacenter, & dedicated datacenter proxies, along with Web Unblocker – an AI-driven tool that ensures block-free access to even the most protected sites. On the scraping tools side, the Oxylabs Web Scraper API manages every stage of large-scale data extraction. For dynamic, bot-protected websites, the Headless Browser ensures uninterrupted access. Oxylabs also offers AI Studio, which lets users extract data without writing code. The ready-made datasets provide structured data across industries such as e-commerce, real estate, and more – for data projects without custom scraping.
In short, Oxylabs offers 177M+ IPs in 195 countries & is trusted by 4000+ clients worldwide, including Fortune 500 companies. Plus, the 24/7 customer service ensures clients get support when needed.
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Pixcribe
Pixcribe is an AI data extraction tool that turns messy documents into structured, usable data. Users can upload PDFs, scanned documents, images, invoices, receipts, forms, screenshots, and other business files, then define the exact fields they want to extract, such as names, dates, totals, invoice numbers, addresses, IDs, table rows, line items, and custom values.
Instead of relying only on OCR, Pixcribe uses AI to understand document context, labels, tables, and layout, helping users extract meaningful information even when files are not perfectly structured. The extracted data can be reviewed before export, reducing manual errors and making it easier to move information into spreadsheets, databases, internal tools, or automation workflows.
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