Compare Google Cloud Vision AI vs. Veryfi OCR API & Mobile SDK

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.

Veryfi OCR API extracts and categorizes details from unstructured consumer invoices and purchase receipts down to line items (SKU level purchase data) at large scale, without the need for traditional limitations such as templates or humans in-the-loop. Veryfi technology can be used straight out of the box. This means that there is no need for training, no human involvement, and no need to use templates. To provide instant value, all documents are processed in real time using Veryfis pre-trained machine model to process them. Veryfi's mission to liberate humanity from manual back-office work is his.