{"id":504,"date":"2021-11-10T10:23:12","date_gmt":"2021-11-10T10:23:12","guid":{"rendered":"http:\/\/18.141.20.153\/?p=504"},"modified":"2025-08-21T09:43:53","modified_gmt":"2025-08-21T09:43:53","slug":"how-to-use-aws-textract-to-extract-data-from-any-image-pdf","status":"publish","type":"post","link":"https:\/\/learning.workfall.com\/learning\/blog\/how-to-use-aws-textract-to-extract-data-from-any-image-pdf\/","title":{"rendered":"How to use Amazon Textract to extract data from any Image & PDF?"},"content":{"rendered":"Reading Time: <\/span> 6<\/span> minutes<\/span><\/span>\n
\"\"\/<\/figure>\n\n\n\n

Amazon Textract is a highly scalable machine learning service that collects printed text, handwriting, and other information from scanned documents automatically.   <\/p>\n\n\n\n

Using Amazon Textract, you can easily extract text and data from images and any scanned documents that go beyond simple optical character recognition (OCR) to extract data from tables and forms. <\/p>\n\n\n\n

Many businesses and government organizations extract data from scanned documents, such as PDFs, tables, and forms, through manual data entry that is slow, expensive, and prone to errors.  Some businesses and government organizations are using simple business process automation (BPA), which provides fully automated workflows or semi-automated processes in the majority of businesses within various domains. These processes require manual configuration which needs to be updated each time the form changes to be usable. Textract uses machine learning to handle any type of document in real-time, accurately extracting text, forms, and tables without the need for any operator intervention or custom code.  <\/p>\n\n\n\n

Amazon Textract consists of higher capabilities than the average optical character recognition (OCR) system.  It is able to extract information like names, birthdates, and social security numbers from the images and PDF files that are stored in the S3<\/a> buckets. <\/p>\n\n\n\n

\"Amazon<\/figure>\n\n\n\n

“Amazon Textract is built on the same highly scalable, proven deep-learning technology that Amazon’s computer vision scientists use to analyze billions of photos and movies every day.” It can be used without any prior knowledge of machine learning.”  <\/strong><\/p>\n\n\n\n

Let\u2019s explore AWS Textract!<\/strong><\/p>\n\n\n\n

In this exercise, we will be utilizing the following AWS services:<\/h2>\n\n\n\n
  1. Simple Storage Service (S3)<\/li>
  2. Identity Access Management Service (IAM)<\/li>
  3. Lamda Service<\/li>
  4. Textract Service<\/li><\/ol>\n\n\n\n

    We will be demonstrating one major use case of AWS Textract service using AWS Lambda with Python implementations:<\/p>\n\n\n\n

    Extracting Text from an S3 Bucket Image (Hands-On)<\/h2>\n\n\n\n

    Adding boto3<\/strong><\/p>\n\n\n\n

    In order to use AWS Textract in Python, the latest boto3 package is required. This package we will download and upload as an AWS Lambda \u201cLayer\u201d.<\/p>\n\n\n\n

    Execute the following command in the command shell.<\/p>\n\n\n\n

    pip install boto3<\/code><\/strong><\/p>\n\n\n\n

    Now let\u2019s create a boto3 layer. Go to AWS Lambda -> Layers and click \u201cCreate Layer\u201d.<\/p>\n\n\n\n

    Give a layer name, select the latest Python version and upload the zip file as below.<\/p>\n\n\n\n

    \"\"\/<\/figure>\n\n\n\n

    So, let\u2019s start doing text extraction!<\/strong><\/p>\n\n\n\n

    1. Extracting Text from the image stored in the S3 bucket<\/strong><\/li><\/ol>\n\n\n\n

      We are going to create a Lambda function that gets triggered whenever an image gets uploaded to S3 Bucket. <\/p>\n\n\n\n

      \"Amazon<\/figure>\n\n\n\n

      1.1 Creating the S3 Bucket<\/strong><\/p>\n\n\n\n

      In the Amazon console, go to the AWS S3 page and click \u201cCreate bucket\u201d.<\/p>\n\n\n\n

      Enter Bucket name and Region same as the region that will be used in Lambda function, in the Set permissions section, set the permissions as below image and create a bucket<\/p>\n\n\n\n

      \"Amazon<\/figure>\n\n\n\n

      1.2 Creating The S3 Lambda Trigger<\/strong><\/p>\n\n\n\n

      Now we’ll write a Lambda function that will be called whenever a new image is uploaded to the bucket we built.<\/p>\n\n\n\n

      Click “Create function” on the AWS Lambda service page.  <\/p>\n\n\n\n

      1. Select \u201cUse a blueprint\u201d and search for \u201cs3-get-object-python\u201d template and click \u201cConfigure\u201d as shown in the below image:<\/li><\/ol>\n\n\n\n
        \"\"\/<\/figure>\n\n\n\n
        1. Enter \u201cFunction name\u201d, \u201cRole name\u201d and select the \u201cBucket name\u201d as the S3 bucket created in the previous step. Add \u201cSuffix\u201d to restrict the trigger only for PNG images. Fill out the rest of the settings as shown in the below image. Don\u2019t change Lambda function code as of now, we will do the changes later in the code. Click on the \u201cCreate function\u201d button. <\/li><\/ol>\n\n\n\n
          \"\"\/<\/figure>\n\n\n\n
          \"Amazon<\/figure>\n\n\n\n

          Replace the existing code in the Function Code area with the following line of code. This code sends the uploaded image to the AWS Textract and writes the response as a text file with the same name to the S3 bucket.<\/p>\n\n\n\n

          1.3  Attaching Permission Policies to Lambda<\/strong><\/p>\n\n\n\n

          In the Lambda setup, go to the Permission tab and select “getTextFromImageRole.”  as displayed in below image:   <\/p>\n\n\n\n

          \"Amazon<\/figure>\n\n\n\n

          This will open the \u201cgetTextFromImageRole\u201d configuration page as below.<\/p>\n\n\n\n

          \"\"\/<\/figure>\n\n\n\n

          Click \u201cAttach policy\u201d and select \u201cAmazonTextractFullAccess\u201d policy and click \u201cAttach policy\u201d as displayed in the below image. <\/p>\n\n\n\n

          \"Amazon<\/figure>\n\n\n\n

          This will give Lambda function permission to access AWS Textract service as shown in the following image<\/p>\n\n\n\n

          \"Amazon<\/figure>\n\n\n\n

          1.4 Adding Custom \u201cboto3-layer\u201d to Lambda<\/strong><\/p>\n\n\n\n

          Click \u201cLayers\u201d from Lambda designer and click \u201cAdd a layer\u201d as shown in the below image <\/p>\n\n\n\n

          \"\"\/<\/figure>\n\n\n\n

          It will show the Add Layer screen as shown in the following image. Select Custom Layer and add the \u201cworkfall-boto3-layer\u201d that was created earlier and click on Add button<\/p>\n\n\n\n

          \"Amazon<\/figure>\n\n\n\n

          1.5<\/strong> Testing The S3 Lambda Trigger<\/strong><\/p>\n\n\n\n

          Before uploading the files into S3 bucket, let\u2019s test our Lambda function. Click on \u201cTest\u201d, as of now we are getting some errors as shown in the following image. This error is regarding access denied on the GetObject operation.<\/p>\n\n\n\n

          \"Amazon<\/figure>\n\n\n\n

          Let\u2019s fix this error. Go to the permission tab of the Lambda function and click on the role named getTextFromImageRole<\/a>. In the next screen, click on the “Add inline policy\u201d to add a policy to give access to the lambda function to access objects as shown in the following image:<\/p>\n\n\n\n

          \"\"\/<\/figure>\n\n\n\n

          It will take you to the next screen as shown in the below image. Give a name to the policy and click on \u201cCreate Policy\u201d button<\/p>\n\n\n\n

          \"Amazon<\/figure>\n\n\n\n

          Go to the S3 bucket \u201cworkfallbucket\u201d created in the previous step and upload a png image with some text. I have uploaded the following image which represents the Workfall Partner Onboarding process.<\/p>\n\n\n\n

          \"Amazon<\/figure>\n\n\n\n

          Once the image is uploaded, after a few seconds the extracted text file should be created in the same bucket with the same name as displayed in the following image:<\/p>\n\n\n\n

          \"Amazon<\/figure>\n\n\n\n

          Conclusion<\/h2>\n\n\n\n

          In this blog, we learned about how to use AWS Textract to extract data from any Image & PDF. We will discuss more use cases of AWS Textract in our upcoming blogs. Stay tuned to keep getting all updates about our upcoming new blogs on AWS and relevant technologies.<\/p>\n\n\n\n

          Meanwhile \u2026<\/p>\n\n\n\n

          Keep Exploring -> Keep Learning -> Keep Mastering<\/strong><\/p>\n\n\n\n

          This blog is part of our effort towards building a knowledgeable and kick-ass tech community. At Workfall<\/a>, we strive to provide the best tech and pay opportunities to AWS-certified talents. If you\u2019re looking to work with global clients, build kick-ass products while making big bucks doing so, give it a shot at workfall.com\/partner<\/a> today.<\/p>\n","protected":false},"excerpt":{"rendered":"

          Reading Time: <\/span> 6<\/span> minutes<\/span><\/span> Amazon Textract is a highly scalable machine learning service that collects printed text, handwriting, and other information from scanned documents automatically.    Using Amazon Textract, you can easily extract text and data from images and any scanned documents that go beyond simple optical character recognition (OCR) to extract data from tables and forms.  Many businesses and […]<\/p>\n","protected":false},"author":1,"featured_media":508,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"spay_email":""},"categories":[2],"tags":[3,158,89,159,57,141,157,6],"yoast_head":"\nHow to use Amazon Textract to extract data from any Image & PDF? - The Workfall Blog<\/title>\n<meta name=\"description\" content=\"Automatically collect printed text and handwriting from scanned documents with Amazon Textract, a scalable machine learning service.\u00a0\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/learning.workfall.com\/learning\/blog\/how-to-use-aws-textract-to-extract-data-from-any-image-pdf\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How to use Amazon Textract to extract data from any Image & PDF? 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