OCR: Amazon Textract vs Google Cloud Vision

Amazon Textract
Google Cloud Vision

Amazon Textract

Amazon Textract is an automatic text and data extraction service, designed to simplify and accelerate advanced data extraction processes. Built to harness the power of machine learning, Amazon Textract exceeds the capabilities of simple optical character recognition (OCR) software, identifying and extracting the contents of fields in forms as well as information stored in tables. With support for virtually all kinds of documents and forms, Amazon Textract offers a powerful solution to ease your data extraction workflows.

Amazon Textract utilizes machine learning to instantly process documents with accuracy, undeterred by variability in document formats or by the complexity of the data being processed. The machine learning models utilized, have been trained on millions of documents from across almost every industry, comprising of document types such as contracts, tax documents, sales orders, benefits applications, insurance claims and more. Such extensive training allows the models to be flexible across document types, removing the need to write and maintain code as layouts change. Furthermore, Amazon Textract performs these tasks instantaneously without the cost of accuracy due to its ability to intelligently recognize tables, form field content and relationships between the data in these more complex entry formats.

Google Cloud Vision

Google Cloud Vision includes OCR services. It also includes an OCR engine to extract text from documents.

The Vision API can detect and extract text from images. There are two annotation features that support optical character recognition (OCR):

1- TEXT_DETECTION detects and extracts text from any image. For example, a photograph might contain a street sign or traffic sign. The JSON includes the entire extracted string, as well as individual words, and their bounding boxes.

2-DOCUMENT_TEXT_DETECTION also extracts text from an image, but the response is optimized for dense text and documents. The JSON includes page, block, paragraph, word, and break information.

Eden AI

The most effective way to compare these two engines is to test them: the performance can truely depend on your data and your needs. It is to facilitate the testing and use of this type of engine that we have developed Eden AI: a unique API connected to the best AI engines and combined with a powerful management platform.

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