Serverless data pipeline for crawling PDFs from the web and extracting structured data using AWS Textract.
AWS PDF Textract Pipeline is a serverless data pipeline built with AWS CDK and TypeScript that crawls PDFs from websites and processes them using AWS Textract to extract structured data. It solves the problem of automating large-scale PDF document analysis by providing a complete, event-driven workflow from URL discovery to data storage. The pipeline demonstrates how to build scalable document processing systems on AWS serverless infrastructure.
AWS developers and data engineers who need to process large volumes of PDF documents from web sources and extract structured data for analysis or storage. It's particularly useful for those working with regulatory documents, research papers, or any web-based PDF repositories.
Developers choose this pipeline because it provides a complete, production-ready example of serverless PDF processing on AWS that they can modify for their specific needs. Unlike building from scratch, it offers a proven architecture with event-driven design, duplicate prevention, and integration with AWS Textract for advanced document analysis.
:mag: Data pipeline for crawling PDFs from the Web and transforming their contents into structured data using AWS textract. Built with AWS CDK + TypeScript
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Leverages AWS Lambda and S3 event triggers for an event-driven workflow, enabling automatic scaling with PDF volume as described in the serverless processing feature.
Integrates Amazon Textract for accurate text and structured data extraction from PDFs, using AWS's machine learning capabilities as highlighted in the AWS Textract integration.
Stores PDF URLs in DynamoDB to prevent reprocessing of duplicates, ensuring efficiency as noted in the data storage and deduplication feature.
Deploys with AWS CDK and TypeScript for reproducible cloud infrastructure, making it easy to version and modify the pipeline setup as emphasized in the README.
AWS Textract costs $50 per 1,000 pages, and the automated pipeline can lead to unexpected expenses if not carefully monitored, as warned in the README notes.
Heavily dependent on AWS services like Lambda, S3, and Textract, making migration to other platforms difficult and limiting flexibility.
Requires familiarity with AWS CDK, TypeScript, and serverless deployment, which can be a barrier for teams new to AWS infrastructure.