<dependency>
            <groupId>org.docx4j</groupId>
            <artifactId>docx4j-JAXB-ReferenceImpl</artifactId>
            <version>8.2.3</version>
        </dependency>
        <!-- HTML → Word -->
        <dependency>
            <groupId>org.docx4j</groupId>
            <artifactId>docx4j-ImportXHTML</artifactId>
            <version>8.3.11</version>
        </dependency>
        <!-- Markdown 解析 -->
        <dependency>
            <groupId>com.vladsch.flexmark</groupId>
            <artifactId>flexmark-all</artifactId>
            <version>0.62.2</version>
        </dependency>

import org.docx4j.Docx4J;
import org.docx4j.openpackaging.packages.WordprocessingMLPackage;
import org.docx4j.openpackaging.parts.WordprocessingML.MainDocumentPart;
public class Docx4jDemo {
    public static void main(String[] args) throws Exception {
        // 1. 創(chuàng)建一個(gè)新的Word處理包
        WordprocessingMLPackage wordMLPackage = WordprocessingMLPackage.createPackage();
        // 2. 獲取主文檔部分
        MainDocumentPart mainDocumentPart = wordMLPackage.getMainDocumentPart();
        // 3. 添加段落
        mainDocumentPart.addParagraphOfText("你好，世界！");
        mainDocumentPart.addStyledParagraphOfText("Title", "這是一個(gè)標(biāo)題");
        mainDocumentPart.addStyledParagraphOfText("Subtitle", "這是一個(gè)副標(biāo)題");
        // 4. 保存文檔
        wordMLPackage.save(new java.io.File("HelloWorld.docx"));
        System.out.println("文檔創(chuàng)建成功！");
    }
}

import org.docx4j.Docx4J;
import org.docx4j.openpackaging.packages.WordprocessingMLPackage;
import org.docx4j.openpackaging.parts.WordprocessingML.MainDocumentPart;
import java.io.File;
public class ReadDocx {
    public static void main(String[] args) throws Exception {
        // 1. 加載已存在的文檔
        WordprocessingMLPackage wordMLPackage = Docx4J.load(new File("ExistingDocument.docx"));
        // 2. 獲取主文檔部分并提取文本
        MainDocumentPart mainDocPart = wordMLPackage.getMainDocumentPart();
        String content = mainDocPart.getContent().toString(); 
        // 注意：這是一種簡單獲取文本的方式，復(fù)雜文檔可能需要解析XML結(jié)構(gòu)
        // 更精確的方法是使用XPath提取特定節(jié)點(diǎn)，例如：List<Object> textNodes = mainDocPart.getJAXBNodesViaXPath("http://w:t", true);
        System.out.println("文檔內(nèi)容: " + content);
    }
}

import com.vladsch.flexmark.html.HtmlRenderer;
import com.vladsch.flexmark.parser.Parser;
import org.docx4j.convert.in.xhtml.XHTMLImporterImpl;
import org.docx4j.openpackaging.packages.WordprocessingMLPackage;
import org.nlpcn.commons.lang.util.StringUtil;
import java.io.File;
import java.util.ArrayList;
import java.util.List;
public class MarkDown {
    public static void main(String[] args) throws Exception {
        String md = "## 審計(jì)分析報(bào)告\n### 一、目的\n### 二、概況\n### 三、疑點(diǎn)及風(fēng)險(xiǎn)分析\n### 四、原因分析\n### 五、審計(jì)結(jié)論\n### 六、整改\n";
        String mdArr[] = md.split("\n");
        Parser parser = Parser.builder().build();
        HtmlRenderer renderer = HtmlRenderer.builder().build();
        WordprocessingMLPackage pkg = WordprocessingMLPackage.createPackage();
        List<Object> xmls = new ArrayList<>();
        List<String>  htmls = new ArrayList<>();
        for (String mdStr : mdArr) {
            if (StringUtil.isBlank(mdStr))
                continue;
            String html = renderer.render(parser.parse(mdStr+"\n"));
            System.out.println(html);
            htmls.add(html);
            xmls.addAll(new XHTMLImporterImpl(pkg).convert(html, null));
        }
//      String html = "<h1>標(biāo)題</h1>";
        for (String html : htmls) {
            System.out.println(html);
        }
        pkg.getMainDocumentPart().getContent().addAll(xmls);
        pkg.save(new File("html2word6.docx"));
        System.out.println("已生成 html2word.docx");
    }
}