Extracting Meaning from Images with Textract, Comprehend and Bedrock

In this blog post, we will not only digitize an image or document. We will also build a system that makes sense of its content. For example; A book page, A handwritten post-it, A health insurance card, Or we will extract, make sense of and analyze text from documents such as product reviews. To do this, we will integrate three different AWS services step by step: The Purpose of This Blog Post: To build a system that not only extracts text from images or documents, but also automatically understands what a text means. By bringing together AWS's Textract, Comprehend and Bedrock services; We will extract text from images, We will find the emotion and key phrases of the text, We will interpret the text with advanced models and capture what the text means. With this blog post, you will learn step by step how to extract text and meaning from documents such as book pages, handwritten notes, cards or comments that you may encounter in real life. At the same time, you will see how to use these services with Python on SageMaker Notebook in a practical way and be able to run AI-supported analyses with your own data.

May 18, 2025 - 10:56

In this blog post, we will not only digitize an image or document. We will also build a system that makes sense of its content. For example;

A book page,
A handwritten post-it,
A health insurance card,
Or we will extract, make sense of and analyze text from documents such as product reviews.

To do this, we will integrate three different AWS services step by step:

To build a system that not only extracts text from images or documents, but also automatically understands what a text means.
By bringing together AWS's Textract, Comprehend and Bedrock services;
We will extract text from images,
We will find the emotion and key phrases of the text,
We will interpret the text with advanced models and capture what the text means.
With this blog post, you will learn step by step how to extract text and meaning from documents such as book pages, handwritten notes, cards or comments that you may encounter in real life.
At the same time, you will see how to use these services with Python on SageMaker Notebook in a practical way and be able to run AI-supported analyses with your own data.