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Smart data extraction with Amazon Textract

Extraction intelligent de data to Amazon Textract

Smart data extraction with Amazon Textract

In our last post we talked about the Artificial Intelligence (AI) applied to cloud computing and some use cases. Following the theme, today we will talk about one of the AWS AI services, amazontext, a machine learning service (ML) that detects and extracts printed text, handwriting, structured data (such as fields of interest and their values) and tables from images.


If you find this topic interesting, we invite you to download our free Ebook «How to migrate to Amazon Web Services?«


Intelligent data extraction: faster than OCR software

Textract goes beyond mere optical character recognition (OCR) to identify, understand and extract data, unlike the OCR software. On the other hand, the solution does not require modifications through manual processes but uses the Machine Learning that allows us to obtain the data automatically, faster and with the possibility of using Amazon Augmented AI, which offers us a human review of models and sensitive text information.

Also Amazon Textract is paid only for the documents to be analyzed and does not require minimum payments or an initial fee, prices vary depending on the type of document 🔍 , tables, images, text, etc.

Confidence Score

As you know, machine learning models have been tested on millions of files, so Virtually any type of document is recognized that is loaded and is automatically processed for intelligent data extraction. By extracting such information, the service rates the confidence of the elements recognized in the text to make informed decisions on how to use the results📑 .

Another feature is that uses adjustable confidence limits, these provide a confidence score, for documents that require complete confidence in the reliability of the text.

Supports a wide variety of formats

Amazon Textract supports formats PNG, JPEG, TIFF and PDF. In the case of synchronous APIs, images can be sent as an S3 object or as a byte array. If the document is already in one of the file formats supported by Amazon Textract (PDF, TIFF, JPG, PNG), there is no need to convert or compress them, which optimizes operation time and usage costs.

Use cases

Creation and Import 

  • Import documents and forms to business applications.
  • Create smart search indexes,  Amazon Textract has the ability to create text libraries for detecting image files and PDFs.
  • Build automated workflows for document processing.
  • Ensure compliance with the rules relating to to the document archive.

Extraction and analysis

  • Extracting text for natural language processing (NLP) yeextract text for document classification.
  • Extraction of tablesThis service facilitates the identification of content structured in tables to be uploaded to a relational database.
  • Bounding boxes,The data extracted from an image provides the coordinates of its respective bounding box.
  • Analyze loansThis feature is a pre-configured and managed intelligent document processing API that automates the extraction of information from loan packages.
  • Signature detection, makes it easy to detect signatures on any document or image such as checks, claim forms or loan applications.
  • Scalable document analysis, Amazon Textract enables you to quickly analyze and extract data from millions of documents.

Solutions dedicated to Artificial Intelligence (Amazon AI) such as Textract or Amazon Understand For text analysis, key phrases, sentiment, themes and their classification are some of the alternatives to improve customer experience, obtain better results and identify valuable data chains for the business. 

Do you want to harness the power of Cloud and artificial intelligence for intelligent data extraction? Contact us to study your project. We will create a roadmap to deploy the solution that best suits your objectives.

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We help companies from different sectors and sizes to innovate and adapt to new scenarios to achieve their objectives in Cloud Infrastructures, Analytics, Transformation through Generative AI & Machine Learning and User or Customer Service.

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Last updated October 2024

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