In an organization with an opening for a developer position, the organization receives hundreds of resumes. Instead of manually evaluating those resumes, Amazon Textract can be used to pull the content of the resume and send it to the LLM for processing to find out which candidate suits best for this position. I have integrated Amazon Textract with Bedrock. In a project, I integrated Amazon Textract with Bedrock and passed the extracted document text to the LLM using Bedrock.
Machine Learning Engineer at a tech services company with 1,001-5,000 employees
Real User
Top 10
Aug 29, 2025
There was a use case for the healthcare domain where we have to process dental claims and EOB documents. For that document, we have to extract the information in the structured tabular format as well as key-value pairs and checkboxes from the dental claims and the explanation of benefits document. This extracted information will be useful for further processing. Whenever we pass this document to the OCR, it is helpful for extracting the information from the document. For example, in the dental claim document, we have the patient name, doctor's name, and what procedure was conducted on the patient by the doctors. So all this information we have to extract from the given document in the tabular format, or checkboxes, or the signatures from the document. Amazon Textract helps me to extract tabular forms, signatures, and key-value pairs separately.
Amazon Textract is a service that automatically extracts text and data from scanned documents. Amazon Textract goes beyond simple optical character recognition (OCR) to also identify the contents of fields in forms and information stored in tables.
Many companies today extract data from documents and forms through manual data entry that’s slow and expensive or through simple optical character recognition (OCR) software that requires manual customization or configuration. Rules and workflows...
In an organization with an opening for a developer position, the organization receives hundreds of resumes. Instead of manually evaluating those resumes, Amazon Textract can be used to pull the content of the resume and send it to the LLM for processing to find out which candidate suits best for this position. I have integrated Amazon Textract with Bedrock. In a project, I integrated Amazon Textract with Bedrock and passed the extracted document text to the LLM using Bedrock.
There was a use case for the healthcare domain where we have to process dental claims and EOB documents. For that document, we have to extract the information in the structured tabular format as well as key-value pairs and checkboxes from the dental claims and the explanation of benefits document. This extracted information will be useful for further processing. Whenever we pass this document to the OCR, it is helpful for extracting the information from the document. For example, in the dental claim document, we have the patient name, doctor's name, and what procedure was conducted on the patient by the doctors. So all this information we have to extract from the given document in the tabular format, or checkboxes, or the signatures from the document. Amazon Textract helps me to extract tabular forms, signatures, and key-value pairs separately.
I just wanted to read some bank statements, receipts, and scan documents. I only tried it for those purposes, but I didn't get to use it extensively.