Efficient ID Card Data Extraction with Amazon Textract- A Serverless Project
Using Textract, Lambda, and S3, we can revolutionize information extraction from identity cards and unlock the potential of AWS. The necessity for smooth and effective data extraction is critical in the current digital era. This article explores a creative project that uses Textract, Lambda, and S3 from AWS to automate the process of extracting important data from identity cards. Find out how this connection is changing document processing in the current day, from improving data accuracy to streamlining workflow efficiency.
Services used in the project are:
Let us briefly discuss about the above services and let's see how they have been used in the project
Amazon S3 :
Amazon Web Services (AWS) provides a highly scalable, secure, and long-lasting cloud object storage solution called Amazon Simple Storage Service (Amazon S3). It offers companies and developers a straightforward web services interface for storing and retrieving any volume of data from any location on the internet. S3 is a vital component for managing and storing a wide range of data types, from small individual files to massive datasets and multimedia material, thanks to its nearly limitless storage capacity and high availability. Strong security features, such as encryption choices and access control systems, guarantee the confidentiality and safety of data that is saved. Additionally, S3 provides smooth connectivity with other AWS services, freeing developers from the burden of managing infrastructure to create scalable and dependable apps.
In this project S3 is used for storing ID Card pictures
AWS Lambda :
Amazon Web Services (AWS) offers a robust and adaptable serverless computing solution called Amazon Lambda. It lets developers run code without having to worry about setting up or maintaining servers, freeing them up to write application logic. Developers can use Lambda to run code in response to a variety of triggers, including HTTP requests, modifications to data in Amazon S3 buckets, and updates to Amazon DynamoDB tables. In response to incoming requests, Lambda automatically scales the code, guaranteeing peak performance and economical effectiveness. Due to its pay-per-use pricing structure, customers are only charged for the computation time that their code uses, there are no fees while the code is not in use. Because of this, Lambda is the perfect choice for developing event-driven, microservices-based applications that need to scale quickly and have high availability.
In this project lambda is used to create a function which extracts the information from the ID Card images using Amazon Textract.
Amazon Textract :
Amazon Textract is a cutting-edge machine learning service provided by Amazon Web Services (AWS) that revolutionizes the process of extracting text and data from documents. Leveraging advanced deep learning algorithms, Textract can accurately analyze a variety of document types, including scanned images, PDFs, and even handwriting, to extract structured data with unparalleled accuracy. This service eliminates the need for manual data entry and tedious document processing tasks, saving organizations valuable time and resources. Textract can automatically detect and extract key information such as text, tables, forms, and even key-value pairs from documents, making it a versatile solution for a wide range of use cases, from automating invoice processing and document archiving to enhancing compliance and regulatory workflows. With its easy-to-use API and seamless integration with other AWS services like Amazon S3 and Lambda, Textract empowers developers to build intelligent document processing pipelines that can scale to handle large volumes of documents with ease.
Architecture:
Step by Step Process:
STEP 1 : CREATION OF S3 BUCKET
First, create an S3 bucket to store the ID Card images from which you want to extract the information
Give the unique bucket name
STEP 2 : CREATION OF LAMBDA FUNCTION
Create a lambda function with python 3.9 as runtime(programming language)
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Add the required policies or permissions for the lambda role
Required policies are :
Go to General Configurations and change the timeout to 3 or 5 minutes
Write the python code which will use the textract to extract the information from ID Card
STEP 3 : ADDING THE TRIGGER TO LAMBDA FUNCTION
Creating the trigger for the lambda function such that whenever user uploads ID Card image in to S3 , lambda function will be triggered and extracts the information from the ID Card
Now we have completed the process let us test it by uploading a ID Card in to S3 bucket
ID Card Image is successfully uploaded let us check the lambda function cloud watch logs
Click on the log stream
We successfully extracted the information from the ID Card using AWS textract service.
EXCELLENT BHANU PRAKASH