Amazon Rekognition
Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases.
With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.
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pdfRest
pdfRest API Toolkit was made by developers, for developers. Rapidly integrate PDF workflows with any business application, simply and seamlessly. pdfRest API Toolkit includes all of the PDF processing tools you'll need, to make your job easy. PDF to Word, Excel, PowerPoint, Image, Add to PDF, Query PDF, Extract Text, Convert to PDF, Convert to PDF/A, PDF/X, Compress PDF, Linearize PDF, Flatten Forms, Transparencies, Annotations, Layers, Merge /Split PDF, Encrypt/Decrypt PDF, Restrict PDF, Watermark PDF, Sign PDF, Redact PDF, Import/Export Form Data, Rasterize PDF, PDF to Markdown, XFA to Acroforms, Set Page Box, Create Blank PDF, Delete PDF, Convert PDF Colors, OCR PDF, API Polling, Upload Files, Zip Files. Get up and running fast with the pdfRest Postman Collection or start from functional sample code in NodeJS, .NET, JavaScript, Python, PHP, and cURL from the pdfRest GitHub repository. Gold-standard processing powered by Adobe® PDF Library™ ensures the highest quality results.
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Azure Computer Vision
Boost content discoverability, automate text extraction, analyze video in real time, and create products that more people can use by embedding vision capabilities in your apps. Use visual data processing to label content with objects and concepts, extract text, generate image descriptions, moderate content, and understand people’s movement in physical spaces. No machine learning expertise is required.
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Google Cloud Vision AI
Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand text, and more. Google Cloud offers two computer vision products that use machine learning to help you understand your images with industry-leading prediction accuracy. Automate the training of your own custom machine learning models. Simply upload images and train custom image models with AutoML Vision’s easy-to-use graphical interface; optimize your models for accuracy, latency, and size; and export them to your application in the cloud, or to an array of devices at the edge. Google Cloud’s Vision API offers powerful pre-trained machine learning models through REST and RPC APIs. Assign labels to images and quickly classify them into millions of predefined categories. Detect objects and faces, read printed and handwritten text, and build valuable metadata into your image catalog.
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