AI-Powered Document Data Extraction

In today's data-driven world, efficiently 𝐞𝐱𝐭𝐫𝐚𝐜𝐭𝐢𝐧𝐠 𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐟𝐫𝐨𝐦 𝐝𝐨𝐜𝐮𝐦𝐞𝐧𝐭𝐬 is vital.

Traditional methods are slow and error-prone. Our solution uses AWS Bedrock and the Anthropic Claude 3 Haiku model to revolutionize this process.

𝐊𝐞𝐲 𝐁𝐞𝐧𝐞𝐟𝐢𝐭𝐬:

🔹 Prompt-Based Extraction: Seamlessly define and extract specific data from PDFs and images.

🔹 Scalable Processing: Handle large and multipage documents with ease using AWS services.

🔹 Accuracy with Human Review: Incorporate Amazon A2I for high-quality results through customizable human review loops.

𝐒𝐭𝐞𝐩𝐬:

1. 𝐒𝐞𝐫𝐯𝐞𝐫𝐥𝐞𝐬𝐬 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰: Implement AWS Step Functions to manage the entire workflow.

𝟐. 𝐏𝐚𝐠𝐞 𝐄𝐱𝐭𝐫𝐚𝐜𝐭𝐢𝐨𝐧: Extract individual pages from multipage PDFs.

𝟑. 𝐂𝐨𝐧𝐜𝐮𝐫𝐫𝐞𝐧𝐭 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠: Use the Map state to process multiple pages concurrently with the Amazon Bedrock API.

𝟒. 𝐕𝐚𝐥𝐢𝐝𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐑𝐞𝐯𝐢𝐞𝐰: Validate extracted data against business rules and use Amazon A2I for human review if needed.

𝟓. 𝐃𝐚𝐭𝐚 𝐒𝐭𝐨𝐫𝐚𝐠𝐞: Store the final output in an Amazon DynamoDB table.

𝑅𝑒𝑎𝑑𝑦 𝑡𝑜 𝑒𝑛ℎ𝑎𝑛𝑐𝑒 𝑦𝑜𝑢𝑟 𝑑𝑜𝑐𝑢𝑚𝑒𝑛𝑡 𝑝𝑟𝑜𝑐𝑒𝑠𝑠𝑖𝑛𝑔? 𝐿𝑒𝑎𝑟𝑛 ℎ𝑜𝑤 𝐴𝑊𝑆 𝐵𝑒𝑑𝑟𝑜𝑐𝑘 𝑐𝑎𝑛 𝑡𝑟𝑎𝑛𝑠𝑓𝑜𝑟𝑚 𝑦𝑜𝑢𝑟 𝑤𝑜𝑟𝑘𝑓𝑙𝑜𝑤𝑠!