Adobe PDF Library SDK
Global OEMs, SaaS providers, and enterprise users utilize the Adobe PDF Library to streamline the processes of creating, editing, and managing PDF documents. As an authorized Adobe partner, our SDK is built using the same source code as Acrobat, ensuring top-notch stability, reliability, and quality.
Supported programming languages include .NET, .NET Framework, Java, and C/C++, and it is compatible with platforms such as Windows, Linux, and MacOS, with package management facilitated through NuGet and Maven.
The library boasts a wide range of capabilities, encompassing annotations, content creation and modification, color management, and various extraction options for text, images, and forms. It also offers features for compression, optimization, and conversion to formats like PDF/A, PDF/X, EPS, PostScript, XPS, and ZUGFeRD, along with robust display and printing options. Moreover, it allows for the import, export, and flattening of both static and dynamic XFA forms, along with AcroForms, and supports a variety of image operations including extraction, rendering, and thumbnail creation. The optimization functionality enhances file size and content, while OCR capabilities enable text addition to documents and images. Additionally, users can convert PDFs to Office formats such as Word, Excel, and PowerPoint, and implement security measures including viewer settings, redactions, password protection, encryption/decryption, and watermarking.
Pricing structures are adaptable for OEMs, SaaS solutions, and end-users, based on their specific usage needs.
Accelerate your development process and reach the market more swiftly with the Adobe PDF Library; take advantage of the free trial available for download today.
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Tickeron
Tickeron, a marketplace driven by quantitative analysis for AI stock trading tools, has introduced a new array of AI Robots tailored for active traders.
These “AI Robots,” crafted in collaboration with independent trading experts, are automated systems that produce buy and sell signals. Tickeron utilizes a series of adjustable neural networks to design AI Robots focused on various trading algorithms.
For those looking to capitalize on daily crypto trading, our premium tool, Real Time Patterns (RTP Cryptos), is the ideal solution. This tool enables you to compete with Hedge Funds by delivering immediate analysis of price patterns in the cryptocurrency market.
With RTP Cryptos, users receive real-time alerts whenever there is a signal to buy or sell cryptocurrencies based on intraday price movements. Furthermore, this tool can be tailored to match your individual preferences and specific strategies, enhancing your trading experience.
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Chainer
Chainer is a versatile, powerful, and user-centric framework crafted for the development of neural networks. It supports CUDA computations, enabling developers to leverage GPU capabilities with minimal code. Moreover, it easily scales across multiple GPUs, accommodating various network architectures such as feed-forward, convolutional, recurrent, and recursive networks, while also offering per-batch designs. The framework allows forward computations to integrate any Python control flow statements, ensuring that backpropagation remains intact and leading to more intuitive and debuggable code. In addition, Chainer includes ChainerRLA, a library rich with numerous sophisticated deep reinforcement learning algorithms. Users also benefit from ChainerCVA, which provides an extensive set of tools designed for training and deploying neural networks in computer vision tasks. The framework's flexibility and ease of use render it an invaluable resource for researchers and practitioners alike. Furthermore, its capacity to support various devices significantly amplifies its ability to manage intricate computational challenges. This combination of features positions Chainer as a leading choice in the rapidly evolving landscape of machine learning frameworks.
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Fido
Fido is an adaptable, open-source C++ library tailored for machine learning endeavors, especially within embedded electronics and robotics. The library encompasses a range of implementations, such as trainable neural networks, reinforcement learning strategies, and genetic algorithms, as well as a complete robotic simulation environment. Furthermore, Fido includes a human-trainable control system for robots, as described by Truell and Gruenstein. Although the newest release does not feature the simulator, it is still available for those keen to explore its capabilities through the simulator branch. Thanks to its modular architecture, Fido can be effortlessly customized to suit various projects in the robotics field, making it a valuable tool for developers and researchers alike. This flexibility encourages innovation and experimentation in the rapidly evolving landscape of robotics and machine learning.
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