Spring AI PDF Document Reader: Extract Text with Apache PDFBox in Spring Boot
To use the Spring AI PDF Document Reader, which utilizes Apache PDFBox to extract text from PDF documents in a Spring Boot application, you can follow this comprehensive example.
Steps to Implement
1. Setup Spring Boot Application
Make sure you have a Spring Boot project with the necessary dependencies. You can generate a Spring Boot project using Spring Initializr.
- Dependencies:
- Spring Web for creating REST endpoints.
- PDF Document Reader Spring AI PDF document reader. It uses Apache PdfBox to extract text from PDF documents and converting them into a list of Spring AI Document objects..
2. Service to Process PDF Documents
The service will leverage Apache PDFBox through the Spring AI PDF Document Reader library to extract text.
3. REST Controller to Handle Requests
Create a controller to expose the functionality via a REST API.
4. Application Properties
(Optional) If you need to configure file upload limits, add the following to your application.properties
or application.yml
:
5. Testing the Application
Start the Spring Boot application: Run the
PdfReaderApplication
class.Test the API:
- Use Postman or cURL to send a
POST
request tohttp://localhost:8080/api/pdf/extract
with a file parameter containing a PDF document.
Example cURL command:
- Use Postman or cURL to send a
Response:
- The extracted text from the PDF will be returned in the response body.
Example Output
For a PDF containing:
The API response will be:
Notes:
- Apache PDFBox Integration: This example directly uses PDFBox, which is commonly leveraged by tools like
spring-ai-pdf-document-reader
. - Error Handling: Enhance error handling for edge cases like corrupt PDFs, unsupported file formats, or very large files.
- Unit Testing: Add JUnit tests for your service and controller to validate the behavior with sample PDFs.
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