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How to Use Spring AI to Extract Structured Data from Images
- Extracting structured data from images is crucial in various domains, and with the advancement of AI models like GPT-4o, it's feasible to extract information directly from images using prompts.
- The article demonstrates how to utilize Spring Boot and OpenAI’s GPT-4o via Spring AI to extract structured data from images.
- Project setup involves configuring Java 21 and incorporating essential dependencies like spring-boot-starter-web and spring-ai-openai-spring-boot-starter.
- Application properties are set to enable OpenAI integration, define upload limits, and facilitate image processing with the GPT-4o model.
- A use case example involves counting balloons of different colors in an uploaded image using structured data extraction.
- Data models such as BalloonColorCount and BalloonCountSummary are defined to represent color-count pairs and total counts of balloons.
- The BalloonAnalysisService class uses the ChatClient to communicate with GPT-4o, providing instructions and image data for structured response.
- A REST API in the BalloonImageController handles image uploads and color filtering requests, returning structured JSON responses.
- Post request to count colored balloons, along with a sample cURL request and expected JSON output, is provided.
- The application leverages Spring AI's ChatClient to send prompts, user input, and image attachments for structured data extraction from images.
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