Veryfi OCR API & Mobile SDK
Veryfi OCR API extracts, categorizes, and enriches all the details from unstructured consumer purchase receipts, invoices, and bills down to line items (SKU-level purchase data) at scale, without the use of traditional limitations like templates or humans-in-the-loop.
Veryfi technology is TurnKey: ready to use out-of-the-box. This means no training required, no humans in the loop, and no templates. All documents are processed in real-time using Veryfis pre-trained machine models to provide instant time to value.
Veryfi's mission is to free humanity from manual back-office labor.
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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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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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Dynamsoft Label Recognition
Dynamsoft Label Recognizer uses OCR to extract text, numbers, and structured data from labels with high accuracy and speed. Built for enterprise workflows, it recognizes text in challenging conditions - low contrast, curved surfaces, distorted images, or imperfect lighting, making it ideal for manufacturing, logistics, retail, and healthcare use cases.
The SDK supports customizable recognition templates, allowing developers to define expected text zones, patterns, and formats for consistent output. It handles multi-line labels, serial numbers, SKU information, date codes, lot numbers, and alphanumeric strings with strong error handling.
Dynamsoft Label Recognizer works across Windows, Linux, Android, iOS, and major browsers via JavaScript frameworks. It integrates seamlessly with Dynamsoft Barcode Reader and Camera Enhancer, enabling combined barcode + text extraction in a single workflow.
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