Spring Boot 集成 tess4j 实现图片识别文本

前言

Tesseract 是世界上最知名、应用最广泛的开源 OCR 引擎。它由 Google 积极维护，功能强大，支持多种语言和平台。虽然它在处理理想条件下的印刷文本时表现出色，但其精度会受到图像质量和复杂性的影响。它通常作为核心引擎被集成到各种应用程序、脚本和更大型的系统中，是许多需要文本提取功能的项目的首选开源解决方案。

一、安装 tesseract （OCR）

安装链接：Index of /tesseract (uni-mannheim.de)

二、下载训练数据

通过网盘分享的文件：tessdata各语言集合包.zip
链接: https://pan.baidu.com/s/13oPR2r7qOE6lt6SgbpWOQA 提取码: uaaw 

三、创建springboot项目

 1、导入依赖

<dependency>
            <groupId>net.sourceforge.tess4j</groupId>
            <artifactId>tess4j</artifactId>
            <version>5.3.0</version>
</dependency>

2、编写配置类

package com.songwp.config;

import net.sourceforge.tess4j.Tesseract;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

/**
 * @ClassName：TesseractOcrConfig
 * @Description: ocr配置类
 * @Author: songwp
 * @Date: 2025/6/29 19:24
 */
@Configuration
public class TesseractOcrConfig {

    @Value("${tess4j.data-path}")
    private String dataPath;

    @Value("${tess4j.language}")
    private String language;

    @Bean
    public Tesseract tesseract() {

        Tesseract tesseract = new Tesseract();
        // 设置训练数据文件夹路径
        tesseract.setDatapath(dataPath);
        // 设置为中文简体
        tesseract.setLanguage(language);
        return tesseract;
    }
}

3、编写controller

package com.songwp.controller;

import com.songwp.service.OcrService;
import lombok.extern.slf4j.Slf4j;
import net.sourceforge.tess4j.TesseractException;
import org.springframework.http.MediaType;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
import org.springframework.web.multipart.MultipartFile;
import java.io.IOException;

/**
 * @ClassName：OcrController
 * @Description: ocr识别controller
 * @Author: songwp
 * @Date: 2025/6/29 18:40
 */
@RestController
@RequestMapping("/ocr")
@Slf4j
public class OcrController {

    private final OcrService ocrService;

    public OcrController(OcrService ocrService) {
        this.ocrService = ocrService;
    }

    @PostMapping(value = "/recognize", consumes = MediaType.MULTIPART_FORM_DATA_VALUE)
    public String recognizeImage(@RequestParam("file") MultipartFile file) throws TesseractException, IOException {

        log.info(ocrService.recognizeText(file));
        // 调用OcrService中的方法进行文字识别
        return ocrService.recognizeText(file);
    }
}

5、编写service

package com.songwp.service;

import net.sourceforge.tess4j.TesseractException;
import org.springframework.web.multipart.MultipartFile;
import java.io.IOException;

/**
 * @ClassName：OcrService
 * @Description: ocr识别接口
 * @Author: songwp
 * @Date: 2025/6/29 19:27
 */
public interface OcrService {

    public String recognizeText(MultipartFile imageFile) throws IOException, TesseractException;
}

5、编写service实现类

package com.songwp.service.impl;

import com.songwp.service.OcrService;
import net.sourceforge.tess4j.Tesseract;
import net.sourceforge.tess4j.TesseractException;
import org.springframework.stereotype.Service;
import org.springframework.web.multipart.MultipartFile;

import javax.imageio.ImageIO;
import java.awt.image.BufferedImage;
import java.io.ByteArrayInputStream;
import java.io.IOException;
import java.io.InputStream;

/**
 * @ClassName：OcrServiceImpl
 * @Description: ocr识别实现类
 * @Author: songwp
 * @Date: 2025/6/29 19:28
 */
@Service
public class OcrServiceImpl implements OcrService {
    private final Tesseract tesseract;

    public OcrServiceImpl(Tesseract tesseract) {
        this.tesseract = tesseract;
    }

    /**
     *
     * @param imageFile 要识别的图片
     * @return
     */
    @Override
    public String recognizeText(MultipartFile imageFile) throws IOException, TesseractException {
        // 转换
        InputStream sbs = new ByteArrayInputStream(imageFile.getBytes());
        BufferedImage bufferedImage = ImageIO.read(sbs);

        // 对图片进行文字识别
        return tesseract.doOCR(bufferedImage);
    }
}

6、运行调试

 注：图片颜色比较多的时候有有点识别不清楚了以及一些带字体的文本