Apryse (formerly PDFTron) makes documents work harder for you.
We give organizations the power to handle the full document lifecycle — from secure server-side processing to smooth web-based collaboration — without relying on third-party services.
With Apryse, you can:
Integrate advanced document capabilities like viewing, editing, annotation, and e-signature directly into your applications.
Deploy on your own infrastructure for maximum control, privacy, and compliance.
Scale effortlessly with technology built for high-volume, enterprise-grade workflows.
Deliver modern web experiences that are fast, accessible, and reliable across browsers and devices.
Trusted worldwide, Apryse helps enterprises, developers, and small businesses simplify workflows, cut costs, and deliver better digital document experiences.
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LM-Kit.NET is an enterprise-grade toolkit designed for seamlessly integrating generative AI into your .NET applications, fully supporting Windows, Linux, and macOS. Empower your C# and VB.NET projects with a flexible platform that simplifies the creation and orchestration of dynamic AI agents.
Leverage efficient Small Language Models for on‑device inference, reducing computational load, minimizing latency, and enhancing security by processing data locally. Experience the power of Retrieval‑Augmented Generation (RAG) to boost accuracy and relevance, while advanced AI agents simplify complex workflows and accelerate development.
Native SDKs ensure smooth integration and high performance across diverse platforms. With robust support for custom AI agent development and multi‑agent orchestration, LM‑Kit.NET streamlines prototyping, deployment, and scalability—enabling you to build smarter, faster, and more secure solutions trusted by professionals worldwide.
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DeepSeek-OCR
DeepSeek-OCR is an open-source framework that focuses on Contexts Optical Compression, aimed at pushing the limits of visual-text compression and examining the role of vision encoders through an LLM-focused lens. This innovative model effectively compresses extensive contexts via optical 2D mapping, utilizing DeepEncoder as its primary engine and DeepSeek3B-MoE-A570M as the decoding mechanism. With a capacity to maintain low activations under high-resolution inputs, DeepEncoder achieves impressive compression ratios, allowing for a manageable number of vision tokens essential for understanding documents. The system is optimized for OCR and document parsing tasks related to images and PDFs, featuring inference options through vLLM or Transformers. Users have the flexibility to execute image OCR with streaming outputs, handle PDFs with high concurrency, or conduct batch evaluations for benchmarking purposes. Additionally, DeepSeek-OCR is capable of transforming documents into Markdown format, enabling free OCR without the constraints of layouts, parsing figures, providing detailed image descriptions, and pinpointing referenced text within images, thereby enhancing its utility across various applications. This versatility positions DeepSeek-OCR as a valuable tool for anyone needing advanced document processing capabilities.
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Docling
Docling is a user-friendly, self-sufficient, open-source toolkit licensed under MIT that facilitates the transformation of disorganized documents into structured data, thereby enhancing subsequent document and AI workflows. This versatile tool can interpret a wide array of document types, including PDF, DOCX, PPTX, XLSX, HTML, Markdown, AsciiDoc, CSV, images, audio files, and even scanned documents using any preferred OCR engine. Docling proficiently identifies and processes various elements such as tables, formulas, reading sequences, bounding boxes, headers, footers, images, captions, code snippets, list items, paragraphs, and overall document architecture, which significantly aids in the searchability and integration of the extracted content into AI systems, retrieval-augmented generation, and agent-based applications. Furthermore, it allows for exporting the parsed output in formats like JSON, plain text, Markdown, HTML, and Doctags, thus providing developers with versatile options for their development pipelines and applications. By efficiently organizing and managing components based on reading sequence, Docling breaks down documents into manageable, continuous text segments, optimizing the processing experience.
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