Adobe PDF Library SDK
Global OEMs, SaaS and enterprise end-users rely on Adobe PDF Library to automate the creation, editing and management of PDFs. An Adobe partner, our SDK uses the same source code as Acrobat for stability, reliability and quality results.
Languages: .NET, .NET Framework, Java and C/C++
Platforms: Windows, Linux & MacOS
Package managers: NuGet & Maven
Capabilities include but are not limited to:
-Annotations
-Content creation
-Content modification
-Color management
-Extraction - text, images, forms
-Compression/optimize
-Conversion - PDF/A, PDF/X, EPS, PostScript, XPS, ZUGFeRD, color
-Display, Printing
-Extract text, images & other content
-Forms - Import, export, flatten static & dynamic XFA forms, AcroForms
-Images - extract, import/export, thumbnails, render/rasterize pages, separations
-Optimization - size, content, images, etc.
-OCR - add text to document, add text to image
-PDF to Office Documents (Word, Excel, PPT)
-Security - Viewer settings, redactions, password, encrypt/decryption, watermark
Pricing options for OEMs, SaaS & end-users are flexible and based on usage.
Shorten development times & get to market faster with Adobe PDF Library. Free trial - download today.
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FormKiQ
FormKiQ is a document management system that can save you months of development time while lowering costs. This is due to its scaleable architecture, built on AWS best-in-class cloud technologies.
Based on its API-forward design and robust front-end client, FormKiQ can be headless or web-based, or a little bit of both. And no matter how you integrate, you get 100% of the code, and none of the agony of building document management software from scratch.
NOTE: along with the Pro and Enterprise versions, there is a free open-core version, FormKiQ Core, that provides the essential features of a document management system.
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Google Cloud Vision AI
AutoML Vision provides insights from images at the edge and cloud. Pre-trained Vision API models can also be used to understand text and detect emotion. Google Cloud offers two computer vision products, which use machine learning to help understand your images with an industry-leading prediction accuracy. Automate the creation of custom machine learning models. Upload images, train custom image models using AutoML Vision's intuitive graphical interface, optimize your models for accuracy and latency, and export them to your cloud application or to a range of devices at the edge. Google Cloud's Vision API provides powerful pre-trained machine-learning models via REST and RPC APIs. Assign labels to images and classify them quickly into millions of predefined groups. Detect faces and objects, read printed and handwritten texts, and add valuable metadata to your image catalog.
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Mindee
Our APIs make it easy to automate document processing in your software. All APIs accept input documents (photo or PDF) and return a structured reply with all the information that you require. Instant processing ensures the best UX. High-quality results regardless of image quality. Get structured data, no post processing required. To make it easy for developers to create robust APIs that are ready to use, we apply state-of-the-art deep learning research to the field. Our algorithms find the relevant information in the image before reading it, unlike traditional OCR. This new paradigm breaks down the traditional OCR performance barriers in terms speed, accuracy, and robustness. No training, templates or setup required. Software developers can access our APIs through plug-and-play. An API-first platform, designed for developers. Developers get a free plan, with no credit card. Synchronous cloud-based APIs
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