Scanbot SDK
Scanbot SDK offers a B2B product, the Scanbot Software Development Kit (SDK), enabling enterprises to easily integrate data capture capabilities such as barcode scanning, document detection & scanning, and data extraction functionalities into their mobile (iOS / Android) and web applications.
The Scanbot SDK is a 100% offline solution that works exclusively on the device. It will never send data to any external server except yours. With additional features like encryption, Scanbot ensures that data is only shared between your users and your server, both at rest and in transit. The SDK is compatible with almost every app- and web-based development platform and can be easily integrated within a week. Industry-leading firms like AXA, Generali, Deutsche Telekom, and ArcBest already rely on Scanbot SDK. You can try them yourself in our demo app (available in the App and Play Store) or start testing it in your own app already – with a free trial license code available on our website.
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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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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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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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