SpringBoot uses Apache Tika to implement content analysis of multiple documents

In daily development, we often need to parse different types of documents, such as PDF, Word, Excel, HTML, TXT, etc. Apache Tika is a powerful content parsing tool that easily extracts content and metadata information from documents. This article will introduce how to implement content parsing of multiple document formats through the combination of SpringBoot and Apache Tika.

1. Introduction to Apache Tika

Apache Tika is a library of tools for extracting file content and metadata, supporting parsing a variety of common document formats, including but not limited to:

• Text files (TXT, CSV)
• Office documents (Word, Excel, PowerPoint)
• PDF Documentation
• Text in images (JPEG, PNG, TIFF)
• Metadata of audio and video files
• HTML and XML files

Features:

1. Wide format support: Almost all common document formats are supported.
2. Simple and easy to use: a few lines of code can realize content parsing.
3. Cross-platform: Based on Java, it can run in any Java-enabled environment.

2. SpringBoot Integration Apache Tika

1. Add Maven dependencies

Introducing Apache Tika's dependencies in SpringBoot projects:

<dependency>
    <groupId></groupId>
    <artifactId>tika-core</artifactId>
    <version>2.7.0</version>
</dependency>
<dependency>
    <groupId></groupId>
    <artifactId>tika-parsers</artifactId>
    <version>2.7.0</version>
</dependency>

2. Define document parsing services

Create a service class and use Apache Tika to extract the content of the document:

import ;
import ;
import ;
import ;
import ;

@Service
public class DocumentParserService {

    private final Tika tika;

    public DocumentParserService() {
         = new Tika(); // Initialize Tika instance    }

    /**
      * Analyze the document content
      * @param inputStream file input stream
      * @return Extracted content
      * @throws IOException File reading exception
      * @throws TikaException Tika parsing exception
      */
    public String parseContent(InputStream inputStream) throws IOException, TikaException {
        return (inputStream); // Extract document content    }
}

3. Create upload and parsing interfaces

In order to implement the document parsing function, we need to provide an interface that allows users to upload documents and return the parsed content:

import ;
import ;
import .*;
import ;

import ;

@RestController
@RequestMapping("/documents")
public class DocumentController {

    @Autowired
    private DocumentParserService documentParserService;

    /**
      * Upload the document and parse the content
      * @param file uploaded document
      * @return parsed content
      */
    @PostMapping("/upload")
    public String uploadDocument(@RequestParam("file") MultipartFile file) {
        try {
            return (());
        } catch (IOException | TikaException e) {
            return "Document parsing failed: " + ();
        }
    }
}

3. Test document analysis

After starting a SpringBoot project, you can use Postman or cURL to send requests:

curl -X POST -F "file=@" http://localhost:8080/documents/upload

Sample analysis results

Suppose a PDF file is uploaded, the parsing result may be as follows:

This is a sample PDF document.
Content extraction with Apache Tika is easy and efficient.

4. Support more functions

1. Extract metadata

Apache Tika also supports extracting metadata of documents such as title, author, creation date, etc.:

import ;

public String parseMetadata(InputStream inputStream) throws IOException, TikaException {
    Metadata metadata = new Metadata();
    (inputStream, metadata);

    StringBuilder metadataInfo = new StringBuilder();
    for (String name : ()) {
        (name).append(": ").append((name)).append("\n");
    }
    return ();
}

2. Document type identification

Identify the MIME type of the document:

public String detectDocumentType(InputStream inputStream) throws IOException {
    return (inputStream);
}

3. Add logging

When parsing a document, record the parsed file name, time and other information:

import org.;
import org.;

@Service
public class DocumentParserService {

    private static final Logger logger = ();
    private final Tika tika;

    public DocumentParserService() {
         = new Tika();
    }

    public String parseContent(InputStream inputStream, String fileName) throws IOException, TikaException {
        long startTime = ();
        String content = (inputStream);
        ("Parsed file [{}] in {} ms", fileName, () - startTime);
        return content;
    }
}

5. Complete example: parse multiple documents

Integrating the above functions into a complete system can support functions such as uploading, parsing content, and extracting metadata.

Directory structure

src
├── main
│   ├── java
│   │   ├── 
│   │   │   ├── 
│   │   │   ├── 
│   ├── resources
│   │   └── 

Test after sample project start

1. Upload a Word file and return the content.
2. Upload a PDF file to return the content and metadata.

6. Performance optimization suggestions

1. Limit file size: Prevent performance problems caused by uploading too large files.
2. Asynchronous processing: For large documents, asynchronous task parsing can be improved system response speed.
3. Cache parsing results: For documents uploaded repeatedly, the parsing results can be cached.

7. Summary

Through the combination of SpringBoot and Apache Tika, we can quickly implement parsing functions in multiple document formats. Apache Tika provides powerful document content extraction and metadata processing capabilities, suitable for content search, file analysis and other scenarios.

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