[{"data":1,"prerenderedAt":38},["ShallowReactive",2],{"repo-bedrock-document-processing":3},{"id":4,"title":5,"contributors":6,"date":9,"description":10,"diagram":11,"extension":12,"framework":13,"gitHub":15,"introBox":18,"language":23,"meta":25,"resources":26,"services":27,"simplicity":33,"stem":34,"type":35,"usecase":36,"__hash__":37},"repos\u002Frepos\u002Fbedrock-document-processing.json","Bedrock Document Processing",[7,8],"content\u002Fcontributors\u002Ffabrianne-effendi.json","content\u002Fcontributors\u002Fjan-michael-go-tan.json","2026-02-25","AI-powered document processing using Amazon Bedrock foundation models for intelligent document classification and data extraction. Automatically identifies document types and extracts key entities using Claude 3.7 Sonnet.","\u002Fassets\u002Fimages\u002Frepos\u002Fbedrock-document-processing.png","json",[14],"AWS CDK",{"template":16},{"repoURL":17},"https:\u002F\u002Fgithub.com\u002Fcdklabs\u002Fcdk-appmod-catalog-blueprints\u002Ftree\u002Fmain\u002Fexamples\u002Fdocument-processing\u002Fbedrock-document-processing",{"headline":5,"text":19},[20,21,22],"This example demonstrates AI-powered document processing using Amazon Bedrock foundation models for intelligent document classification and data extraction.","The solution automatically identifies document types (invoices, receipts, identity documents, etc.) and extracts key entities and data from documents using AI. It uses Step Functions to manage the processing pipeline and DynamoDB to track processing status and results.","Key features include AI-powered processing with Claude 3.7 Sonnet, automatic triggering from S3 uploads, structured JSON output with extracted entities, error handling with failed documents moved to a failed\u002F prefix, and comprehensive observability through CloudWatch logs and Step Functions monitoring.",[24],"TypeScript",{},null,[28,29,30,31,32],"bedrock","dynamodb","lambda-event-functions","s3","sfn","300","repos\u002Fbedrock-document-processing","Code Sample","Backend","Uml6DthgPIAZr7H_focnEg5u-RHBWuZ-EQEn84xbwaI",1792578864777]