PackageX OCR Scanning
PackageX OCR API turns any smartphone into an incredibly powerful universal label scanner. It can read every bit of text, including barcodes, QR codes and other information on the label.
Our OCR technology is the best in the industry. It uses proprietary algorithms and deep learning models to extract information from labels.
Our OCR API has been trained using information from more than 10 million labels. This allows for the highest scanning accuracy in the market, at over 95%.
Our technology can scan in low-light conditions and read labels from any angle.
Create your own OCR scanner app to eliminate pen-and-paper inefficiencies.
Our OCR scanner allows you to extract information from printed text or handwritten labels.
Our OCR software is trained using multilingual label data extracted in over 40 countries.
Detect and extract information from barcodes or QR codes.
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Sumsub
Sumsub is a single verification platform that allows you to onboard more customers worldwide, speed up their access, reduce costs, and fight digital fraud. Sumsub combines effective verification flows with higher conversion rates worldwide through a powerful, all in one suite designed for a wide variety of needs: KYC/AML verification, KYB verifications, payment fraud prevention and face authentication.
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Google Cloud Vision AI
Harness the power of AutoML Vision or leverage pre-trained Vision API models to extract meaningful insights from images stored in the cloud or at the network's edge, allowing for emotion detection, text interpretation, and much more. Google Cloud presents two advanced computer vision solutions that utilize machine learning to provide top-notch prediction accuracy for image analysis. You can streamline the creation of bespoke machine learning models by simply uploading your images, using AutoML Vision's intuitive graphical interface to train these models, and fine-tuning them for optimal performance in terms of accuracy, latency, and size. Once perfected, these models can be seamlessly exported for use in cloud applications or on various edge devices. Additionally, Google Cloud’s Vision API grants access to robust pre-trained machine learning models via REST and RPC APIs. You can easily assign labels to images, categorize them into millions of pre-existing classifications, identify objects and faces, interpret both printed and handwritten text, and enhance your image catalog with rich metadata for deeper insights. This combination of tools not only simplifies the image analysis process but also empowers businesses to make data-driven decisions more effectively.
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VeriLook SDK
VeriLook SDK provides exceptional facial recognition capabilities suitable for both stand-alone and client-server biometric applications. Designed with a focus on security, access control, and identity validation, it efficiently performs matching in both 1-to-1 and 1-to-many scenarios with impressive speed and precision. Its compliance with ISO 30103-7 standards for liveness detection effectively thwarts spoofing attempts, ensuring that real faces are distinguished from mere photographs.
The SDK is capable of recognizing multiple faces simultaneously, adeptly managing partially obscured faces, and extracting various attributes such as age, gender, presence of facial hair, eyewear, and emotional expressions. It is effective with images captured under visible or near-infrared lighting conditions, maintaining consistent accuracy even in fluctuating lighting environments and diverse head orientations.
Developers have the flexibility to integrate VeriLook using programming languages such as C/C++, C#, VB .NET, Java, or Python, across multiple operating systems including Windows, Linux, macOS, iOS, and Android. Over its extensive twenty-year history of global deployments, VeriLook has established itself as a reliable, adaptable, and developer-friendly solution for creating cutting-edge biometric applications that meet modern security needs. This extensive experience underscores its reputation as a trusted choice in the field of biometric technology.
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