使用阿里云的图片识别成表格ocr(将图片表格转换成excel)
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2022-04-08 16:57:08
为了简便财务总是要对照着别人发来的表格图片制作成自己的表格 图片识别 识别成表格 表格识别 ocr 使用阿里云api 购买(印刷文字识别 表格识别) https://market.aliyun.com/products/57124001/cmapi024968.html 获得阿里云图片识别表格的ap ......
为了简便财务总是要对照着别人发来的表格图片制作成自己的表格
- 图片识别 识别成表格 表格识别 ocr
- 使用阿里云api
- 购买(印刷文字识别-表格识别) https://market.aliyun.com/products/57124001/cmapi024968.html
- 获得阿里云图片识别表格的appcode
效果图如下
整合的代码
package com.xai.wuye.controller.api; import com.alibaba.fastjson.json; import com.alibaba.fastjson.jsonarray; import com.alibaba.fastjson.jsonexception; import com.alibaba.fastjson.jsonobject; import com.xai.wuye.common.jsonresult; import com.xai.wuye.exception.resultexception; import com.xai.wuye.model.aparam import com.xai.wuye.service.carservice; import com.xai.wuye.util.httputils; import org.apache.http.httpresponse; import org.apache.http.util.entityutils; import org.springframework.beans.factory.annotation.autowired; import org.springframework.core.io.filesystemresource; import org.springframework.http.httpheaders; import org.springframework.http.mediatype; import org.springframework.http.responseentity; import org.springframework.scheduling.annotation.enableasync; import org.springframework.stereotype.controller; import org.springframework.web.bind.annotation.requestmapping; import org.springframework.web.bind.annotation.requestparam; import org.springframework.web.bind.annotation.responsebody; import org.springframework.web.multipart.multipartfile; import java.io.*; import java.util.date; import java.util.hashmap; import java.util.map; import static org.apache.tomcat.util.codec.binary.base64.encodebase64; @controller @enableasync @requestmapping("/api/ocr") public class aliocrimages { @autowired carservice carservice; private string ocrpath = "/home/runapp/car/orc/"; @responsebody @requestmapping("table") public jsonresult getfirstlicence(@requestparam(value = "file", required = false) multipartfile file) { if (file == null || file.isempty()||file.getsize() > 1204*1204*3) throw new resultexception(0,"文件为null,且不能大于3m"); string filename = file.getoriginalfilename(); string filepath = ocrpath+"temp/"+filename; file newfile = new file(filepath); try { file.transferto(newfile); string host = "https://form.market.alicloudapi.com"; string path = "/api/predict/ocr_table_parse"; // 输入阿里的code string appcode = "4926a667ee6c41329c278361*****"; string imgfile = "图片路径"; boolean is_old_format = false;//如果文档的输入中含有inputs字段,设置为true, 否则设置为false //请根据线上文档修改configure字段 jsonobject configobj = new jsonobject(); configobj.put("format", "xlsx"); configobj.put("finance", false); configobj.put("dir_assure", false); string config_str = configobj.tostring(); // configobj.put("min_size", 5); //string config_str = ""; string method = "post"; map<string, string> headers = new hashmap<string, string>(); //最后在header中的格式(中间是英文空格)为authorization:appcode 83359fd73fe94948385f570e3c139105 headers.put("authorization", "appcode " + appcode); map<string, string> querys = new hashmap<string, string>(); // 对图像进行base64编码 string imgbase64 = ""; try { byte[] content = new byte[(int) newfile.length()]; fileinputstream finputstream = new fileinputstream(newfile); finputstream.read(content); finputstream.close(); imgbase64 = new string(encodebase64(content)); } catch (ioexception e) { e.printstacktrace(); return null; } // 拼装请求body的json字符串 jsonobject requestobj = new jsonobject(); try { if(is_old_format) { jsonobject obj = new jsonobject(); obj.put("image", getparam(50, imgbase64)); if(config_str.length() > 0) { obj.put("configure", getparam(50, config_str)); } jsonarray inputarray = new jsonarray(); inputarray.add(obj); requestobj.put("inputs", inputarray); }else{ requestobj.put("image", imgbase64); if(config_str.length() > 0) { requestobj.put("configure", config_str); } } } catch (jsonexception e) { e.printstacktrace(); } string bodys = requestobj.tostring(); try { /** * 重要提示如下: * httputils请从 * https://github.com/aliyun/api-gateway-demo-sign-java/blob/master/src/main/java/com/aliyun/api/gateway/demo/util/httputils.java * 下载 * * 相应的依赖请参照 * https://github.com/aliyun/api-gateway-demo-sign-java/blob/master/pom.xml */ httpresponse response = httputils.dopost(host, path, method, headers, querys, bodys); int stat = response.getstatusline().getstatuscode(); if(stat != 200){ system.out.println("http code: " + stat); system.out.println("http header error msg: "+ response.getfirstheader("x-ca-error-message")); system.out.println("http body error msg:" + entityutils.tostring(response.getentity())); return null; } string res = entityutils.tostring(response.getentity()); jsonobject res_obj = json.parseobject(res); long filename = system.currenttimemillis(); if(is_old_format) { jsonarray outputarray = res_obj.getjsonarray("outputs"); string output = outputarray.getjsonobject(0).getjsonobject("outputvalue").getstring("datavalue"); jsonobject out = json.parseobject(output); system.out.println(out.tojsonstring()); }else{ string tmp_base64path = ocrpath + filename; file tmp_base64file = new file(tmp_base64path); if(!tmp_base64file.exists()){ tmp_base64file.getparentfile().mkdirs(); } tmp_base64file.createnewfile(); // write filewriter fw = new filewriter(tmp_base64file, true); bufferedwriter bw = new bufferedwriter(fw); bw.write(res_obj.getstring("tables")); bw.flush(); bw.close(); fw.close(); string exelfilepath = ocrpath + filename + "_1.xlsx"; runtime.getruntime().exec("touch "+exelfilepath).destroy(); process exec = runtime.getruntime().exec("sed -i -e 's/\\\\n/\\n/g' " + tmp_base64path); exec.waitfor(); exec.destroy(); process exec1 = null; string[] cmd = { "/bin/sh", "-c", "base64 -d " + tmp_base64path + " > " + exelfilepath }; exec1 = runtime.getruntime().exec(cmd); exec1.waitfor(); exec1.destroy(); return jsonresult.success(filename); } } catch (exception e) { e.printstacktrace(); } } catch (ioexception e) { e.printstacktrace(); } return null; } @responsebody @requestmapping("getid") public responseentity<filesystemresource> getfirstlicence(string id) { string exelfilepath = ocrpath + id + "_1.xlsx"; return export(new file(exelfilepath)); } public responseentity<filesystemresource> export(file file) { if (file == null) { return null; } httpheaders headers = new httpheaders(); headers.add("cache-control", "no-cache, no-store, must-revalidate"); headers.add("content-disposition", "attachment; filename=" + system.currenttimemillis() + ".xls"); headers.add("pragma", "no-cache"); headers.add("expires", "0"); headers.add("last-modified", new date().tostring()); headers.add("etag", string.valueof(system.currenttimemillis())); return responseentity .ok() .headers(headers) .contentlength(file.length()) .contenttype(mediatype.parsemediatype("application/octet-stream")) .body(new filesystemresource(file)); } public static jsonobject getparam(int type, string datavalue) { jsonobject obj = new jsonobject(); try { obj.put("datatype", type); obj.put("datavalue", datavalue); } catch (jsonexception e) { e.printstacktrace(); } return obj; } }
大功告成
- 以下是静态页面代码
<!doctype html> <html> <head> <meta charset="utf-8"> <!-- import css --> <link rel="stylesheet" href="https://unpkg.com/element-ui/lib/theme-chalk/index.css"> <title>table</title> </head> <body> <div id="app"> <el-upload class="upload-demo" drag action="https://www.***.com/car/api/ocr/table" :file-list="imagelist" :on-preview="pre" > <i class="el-icon-upload"></i> <div class="el-upload__text">将文件拖到此处,或<em>点击上传</em></div> <div class="el-upload__tip" slot="tip">只能上传jpg/png文件,且不超过500kb</div> </el-upload> <div class="img-content" v-for="(item,key) in imagelist" :key="key"> <img :src="item.url"> <div class="name"> <div>{{ item.name }}</div> <el-button type="text" @click="handlefilename(item,key)">修改名字</el-button> </div> <!-- 删除icon --> <div class="del"> <i @click="handlefileremove(item,key)" class="el-icon-delete2"></i> </div> <!-- 放大icon --> <div class="layer" @click="handlefileenlarge(item.url)"> <i class="el-icon-view"></i> </div> </div> </div> </body> <!-- import vue before element --> <script src="https://unpkg.com/vue/dist/vue.js"></script> <!-- import javascript --> <script src="https://unpkg.com/element-ui/lib/index.js"></script> <script> new vue({ el: '#app', data: function() { return { visible: false, imagelist: [ ] } }, methods: { pre(res) { console.log(res.response.msg) window.open("https://www.***.com/api/ocr/getid?id="+res.response.data); } } }) </script> </html>
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