July 19, 2023   | SNAK Consultancy

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OCR solutions capabilities on AWS, Microsoft and Google

OCR solutions capabilities

Optical Character Recognition (OCR) technology has revolutionized the way businesses handle data, enabling seamless extraction of text from images and documents. Major cloud providers, such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), offer OCR solutions that cater to diverse business needs. In this blog, we will delve into the capabilities of OCR services provided by these tech giants to help you make an informed decision when choosing the best OCR solutions capabilities for your organization.

Amazon Web Services (AWS) - Amazon Textract

Amazon Textract is AWS's OCR service, built on advanced machine learning algorithms, making it capable of extracting text from various document types with high accuracy. Key features include:

a. Document Text Detection: Textract can extract text from scanned documents, images, and PDF files, even in complex layouts.

b. Table and Form Extraction: Textract can identify and extract data from tables and forms, streamlining data entry and analysis.

c. Intelligent Data Extraction: This service can identify and categorize key-value pairs and hierarchical data structures, making it easier to understand and process extracted information.

d. Support for Multiple Languages: Textract supports a wide range of languages, making it suitable for international businesses.

Microsoft Azure - Azure Cognitive Services:

Azure Cognitive Services provides a powerful OCR service that offers robust text extraction capabilities. Some of the highlights include:

a. Handwritten Text Recognition: Azure OCR can accurately recognize handwritten text, which is particularly useful in scenarios where digitized handwritten documents need processing.

b. Adaptive OCR: The service continuously improves its accuracy by learning from user-provided feedback, resulting in increasingly accurate results over time.

c. Layout Analysis: Azure OCR can preserve the structure and formatting of the original document, including tables, paragraphs, and headers.

d. Language Support: With support for numerous languages, Azure OCR is a versatile solution for global organizations.

Google Cloud Platform (GCP) - Cloud Vision API:

Google Cloud Vision API offers OCR capabilities as part of its suite of vision-related services. Key features include:

a. Entity Recognition: In addition to text extraction, Cloud Vision API can identify and extract entities such as objects, faces, and logos from images.

b. Safe Search Detection: The service can detect and filter out explicit content from images, ensuring a safe user experience.

c. Document Text Extraction: Extracting text from scanned documents and images is made easy with the API's advanced OCR capabilities.

d. Language Support: Cloud Vision API supports an extensive list of languages, making it suitable for global applications.


Ques.1 What does Google use for OCR?

Ans. OCR (Optical Character Recognition) with world-class Google Cloud AI. Extract text and data from images and documents, turn unstructured content into business-ready structured data, and unlock valuable insights.

Ques.2 What is the difference between Google OCR and Microsoft OCR?
Ans. Though Google OCR is different from Microsoft OCR engine in the following aspects: Multiple language support can be added in Google OCR. Suitable for extracting the text from a small area, It has full support for color inversion

Ques.3 What is the most accurate OCR open-source?
Ans. Tesseract. Tesseract is a highly regarded open-source OCR engine initially developed by Hewlett-Packard and now maintained by Google. Known for its accuracy and versatility, Tesseract can extract data and convert scanned documents, images, and handwritten prose into machine-readable text.


When it comes to OCR capabilities, all three cloud providers—AWS, Microsoft, and Google—offer robust and reliable solutions. The choice of the best OCR service depends on various factors, including the specific needs of your business, budget considerations, and integration requirements.

  • Amazon Textract (AWS) excels in extracting data from complex documents and forms, making it suitable for businesses that rely heavily on such documents and require superior data extraction accuracy.
  • Azure Cognitive Services (Microsoft) is a strong contender with its advanced handwritten text recognition and adaptive learning capabilities, making it an excellent choice for organizations dealing with handwritten documents and requiring continuous improvement of OCR accuracy.
  • Google Cloud Vision API (GCP) stands out with its entity recognition capabilities and extensive language support, making it a versatile solution for businesses that require more than just OCR functionality.


All three cloud providers offer highly capable OCR solutions. Before making a decision, it is advisable to evaluate your specific requirements and consider factors such as pricing, integration ease, and additional features to find the OCR service that best aligns with your business needs. Regardless of your choice, implementing OCR technology will undoubtedly streamline your document processing workflows and boost overall efficiency.

July 19, 2023   | SNAK Consultancy