API文档
更新时间：2025-04-28
在线调试
您可以在 示例代码中心 中调试该接口，可进行签名验证、查看在线调用的请求内容和返回结果、示例代码的自动生成。
请求说明
请求示例
HTTP 方法：POST
请求URL： https://aip.baidubce.com/rest/2.0/solution/v1/iocr/recognise/finance
URL参数：
参数 |
值 |
|---|---|
| access_token | 通过API Key和Secret Key获取的access_token,参考“Access Token获取” |
Header如下：
参数 |
值 |
|---|---|
| Content-Type | application/x-www-form-urlencoded |
Body中放置请求参数，参数详情如下：
请求参数
参数 |
是否必选 |
类型 |
可选值范围 |
说明 |
|---|---|---|---|---|
| image | 和 url/pdf_file 三选一 | string | - | 图像数据，base64编码后进行urlencode，需去掉编码头（data:image/jpeg;base64, ） 要求base64编码和urlencode后大小不超过4M，最短边至少15px，最长边最大4096px，支持jpg/jpeg/png/bmp格式 |
| url | 和 image/pdf_file 三选一 | string | - | 图片完整URL，URL长度不超过1024字节，URL对应的图片base64编码后大小不超过4M，最短边至少15px，最长边最大4096px，支持jpg/jpeg/png/bmp格式，当image字段存在时url字段失效 请注意关闭URL防盗链 |
| pdf_file | 和 image/url 三选一 | string | - | PDF文件，base64编码后进行urlencode，需去掉编码头（data:application/pdf;base64, ） 要求base64编码和urlencode后大小不超过4M 注：目前仅支持单页PDF识别，如上传的为多页PDF，仅识别第一页 |
| templateSign | 否 | string | - | 模板 ID，自定义模板或预置模板的唯一标示，可用于调用指定的识别模板进行结构化识别，可在「模板管理」页查看并复制使用 |
| classifierId | 否 | string | - | 分类器Id，分类器的唯一标示，可用于调用指定的分类器对传入的图片进行自动分类及识别 与 templateSign 至少存在一个，如同时存在，则优先级 templateSign > classfierId |
请求代码示例
提示一：使用示例代码前，请记得替换其中的示例Token、图片地址或Base64信息。
提示二：部分语言依赖的类或库，请在代码注释中查看下载地址。
1# 请求模板id
2curl -i -k 'https://aip.baidubce.com/rest/2.0/solution/v1/iocr/recognise/finance?access_token=【调用鉴权接口获取的token】' --data 'templateSign=xxx&image=【图片Base64编码，需UrlEncode】' -H 'Content-Type:application/x-www-form-urlencoded'
3# 请求分类器id
4curl -i -k 'https://aip.baidubce.com/rest/2.0/solution/v1/iocr/recognise/finance?access_token=【调用鉴权接口获取的token】' --data 'classifierId=xxx&image=【图片Base64编码，需UrlEncode】' -H 'Content-Type:application/x-www-form-urlencoded'1# -*- coding:UTF-8 -*-
2# -*- encoding: utf-8 -*-
3import base64
4import requests
5
6if sys.version_info.major == 2:
7 from urllib import quote
8else:
9 from urllib.parse import quote
10
11
12headers = {
13 'Content-Type': "application/x-www-form-urlencoded",
14 'charset': "utf-8"
15 }
16if __name__ == '__main__':
17 # 代码中所需的工具包requests
18 # 安装方式:pip install requests
19 # iocr识别api_url
20 recognise_api_url = "https://aip.baidubce.com/rest/2.0/solution/v1/iocr/recognise/finance"
21
22
23 access_token = "your_access_token"
24 templateSign = "your_templateSign"
25 detectorId = 0
26 classifierId = "your_classifier_id"
27 # 测试数据路径
28 image_path = "your_file_path"
29 try:
30 with open(image_path, 'rb') as f:
31 image_data = f.read()
32
33 if sys.version_info.major == 2:
34 image_b64 = base64.b64encode(image_data).replace("\r", "")
35 else:
36 image_b64 = base64.b64encode(image_data).decode().replace("\r", "")
37
38 # 请求模板的bodys
39 recognise_bodys = "access_token=" + access_token + "&templateSign=" + templateSign + \
40 "&image=" + quote(image_b64.encode("utf8"))
41 # 请求分类器的bodys
42 classifier_bodys = "access_token=" + access_token + "&classifierId=" + classifierId + \
43 "&image=" + quote(image_b64.encode("utf8"))
44 # 请求模板识别
45 response = requests.post(recognise_api_url, data=recognise_bodys, headers=headers)
46 # 请求分类器识别
47 # response = requests.post(recognise_api_url, data=classifier_bodys, headers=headers)
48 print response.text
49 except Exception as e:
50 print e1package com.baidu.ocr;
2
3import com.baidu.ai.aip.utils.Base64Util;
4import com.baidu.ai.aip.utils.FileUtil;
5import com.baidu.ai.aip.utils.HttpUtil;
6
7
8public class App
9{
10 public static void main(String[] args) throws Exception
11 {
12 /**
13 * 重要提示代码中所需工具类
14 * FileUtil,Base64Util,HttpUtil,GsonUtils请从
15 * https://ai.baidu.com/file/658A35ABAB2D404FBF903F64D47C1F72
16 * https://ai.baidu.com/file/C8D81F3301E24D2892968F09AE1AD6E2
17 * https://ai.baidu.com/file/544D677F5D4E4F17B4122FBD60DB82B3
18 * https://ai.baidu.com/file/470B3ACCA3FE43788B5A963BF0B625F3
19 * 下载
20 */
21 // iocr识别apiUrl
22 String recogniseUrl = "https://aip.baidubce.com/rest/2.0/solution/v1/iocr/recognise/finance";
23
24
25 String filePath = "path\to\your\image.jpg";
26 try {
27 byte[] imgData = FileUtil.readFileByBytes(filePath);
28 String imgStr = Base64Util.encode(imgData);
29 // 请求模板参数
30 String recogniseParams = "templateSign=your_template_sign&image=" + URLEncoder.encode(imgStr, "UTF-8");
31 // 请求分类器参数
32 String classifierParams = "classifierId=your_classfier_id&image=" + URLEncoder.encode(imgStr, "UTF-8");
33
34
35 String accessToken = "your_access_token";
36 // 请求模板识别
37 String result = HttpUtil.post(recogniseUrl, accessToken, recogniseParams);
38 // 请求分类器识别
39 // String result = HttpUtil.post(recogniseUrl, accessToken, classifierParams);
40
41 System.out.println(result);
42 } catch (Exception e) {
43 e.printStackTrace();
44 }
45 }
46}1#include <iostream>
2#include "curl_install/include/curl/curl.h"
3#include <fstream>
4#include "Base64.h"
5#include <cctype>
6#include <iomanip>
7#include <sstream>
8#include <string>
9
10using namespace std;
11// libcurl库下载链接：https://curl.haxx.se/download.html
12// 通用iocr的接口url
13static string ocr_result;
14/**
15 * curl发送http请求调用的回调函数，回调函数中对返回的json格式的body进行了解析，解析结果储存在全局的静态变量当中
16 * @param 参数定义见libcurl文档
17 * @return 返回值定义见libcurl文档
18 */
19static size_t callback(void *ptr, size_t size, size_t nmemb, void *stream) {
20 // 获取到的body存放在ptr中，先将其转换为string格式
21 ocr_result = string((char *) ptr, size * nmemb);
22 return size * nmemb;
23}
24
25string url_encode(const std::string &value) {
26 ostringstream escaped;
27 escaped.fill('0');
28 escaped << hex;
29 for (std::string::const_iterator i = value.begin(), n = value.end(); i != n; ++i) {
30 std::string::value_type c = (*i);
31 // Keep alphanumeric and other accepted characters intact
32 if (isalnum(c) || c == '-' || c == '_' || c == '.' || c == '~') {
33 escaped << c;
34 continue;
35 }
36 // Any other characters are percent-encoded
37 escaped << uppercase;
38 escaped << '%' << setw(2) << int((unsigned char) c);
39 escaped << nouppercase;
40 }
41
42 return escaped.str();
43}
44// base64.h下载地址
45// https://bj.bcebos.com/v1/iocr-movie/Base64.h
46int iocr_regenize(const std::string &image_base64, const std::string &access_token, const std::string &templateSign,
47 const std::int classifierId, const std::int detectorId) {
48 // iocr识别apiUrl
49 const static string recognise_api_url = "https://aip.baidubce.com/rest/2.0/solution/v1/iocr/recognise/finance";
50 // 请求模板的参数
51 std::string recognise_params = "access_token=" + access_token + "&templateSign=" + templateSign + "&image=" + image_base64;
52
53 // 请求分类器的参数
54 std::string classifier_params = "access_token=" + access_token
55 + "&classifierId=" + std::to_string(classifierId)
56 + "&image=" + image_base64;
57
58 struct curl_slist * headers = NULL;
59 headers = curl_slist_append(headers, "Content-Type:application/x-www-form-urlencoded");
60 headers = curl_slist_append(headers, "charset:utf-8");
61 CURL *curl;
62 CURLcode result_code;
63 int is_success;
64 curl = curl_easy_init();
65 if (curl) {
66 // 使用libcurl post数据：设定待post的url等
67 curl_easy_setopt(curl, CURLOPT_URL, recognise_api_url.c_str());
68 curl_easy_setopt(curl, CURLOPT_HTTPHEADER, headers);
69 curl_easy_setopt(curl, CURLOPT_POST, 1);
70 curl_easy_setopt(curl, CURLOPT_SSL_VERIFYHOST, false);
71 curl_easy_setopt(curl,CURLOPT_WRITEFUNCTION,callback);
72 // 请求模板
73 curl_easy_setopt(curl, CURLOPT_POSTFIELDS, recognise_params.c_str());
74 curl_easy_setopt(curl, CURLOPT_POSTFIELDSIZE, recognise_params.size());
75 // 请求分类器
76 // curl_easy_setopt(curl, CURLOPT_POSTFIELDS, classifier_params.c_str());
77 // curl_easy_setopt(curl, CURLOPT_POSTFIELDSIZE, classifier_params.size());
78 result_code = curl_easy_perform(curl);
79 // http post不成功时错误处理
80 if (result_code != CURLE_OK) {
81 fprintf(stderr, "curl_easy_perform() failed: %s\n",
82 curl_easy_strerror(result_code));
83 is_success = 1;
84 return is_success;
85 }
86 curl_easy_cleanup(curl);
87 curl_slist_free_all(headers);
88 // 控制台输出识别结果
89 cout << ocr_result << endl;
90 is_success = 0;
91 } else {
92 fprintf(stderr, "curl_easy_init() failed.");
93 is_success = 1;
94 }
95 return is_success;
96}
97
98std::string get_image_b64(const std::string &image_path) {
99 ifstream f;
100 f.open(image_path, ios::in | ios::binary);
101 // 定位指针到文件末尾
102 f.seekg(0, ios::end);
103 int size = f.tellg();
104 // 指针重新回到文件头部
105 f.seekg(0, ios::beg);
106 char* buffer = (char*)malloc(sizeof(char)*size);
107 f.read(buffer,size);
108 f.close();
109 // base64编码
110 std::string image_b64 = base64_encode(buffer, size);
111 return image_b64;
112}
113
114int main() {
115 std::string access_token = "your_access_token";
116 std::string image_path = "your_file_path";
117 std::string templateSign = "your_templateSign";
118 std::int classifierId = "your_classifier_id";
119 std::int detectorId = 0;
120 // 获取本地图片的base64
121 std::string image_b64 = get_image_b64(image_path);
122 // urlcode编码
123 image_b64 = url_encode(image_b64);
124 // 发送post请求
125 iocr_regenize(image_b64, access_token, templateSign, classifierId, detectorId);
126 return 0;
127}1<?php
2/**
3 * 发起http post请求(REST API), 并获取REST请求的结果
4 * @param string $url
5 * @param string $param
6 * @return - http response body if succeeds, else false.
7 */
8function request_post($url = '', $params = '')
9{
10 if (empty($url) || empty($params)) {
11 return false;
12 }
13 $headers = array("Content-Type" => "application/x-www-form-urlencoded", "charset" => "utf-8");
14 // 初始化curl
15 $curl = curl_init();
16 curl_setopt($curl, CURLOPT_URL, $url);
17 curl_setopt($curl, CURLOPT_HEADER, 0);
18 // 要求结果为字符串且输出到屏幕上
19 curl_setopt($curl, CURLOPT_RETURNTRANSFER, 1);
20 curl_setopt($curl, CURLOPT_SSL_VERIFYPEER, false);
21 // post提交方式
22 //curl_setopt($curl, CURLOPT_CUSTOMREQUEST, 'POST');
23 curl_setopt($curl, CURLOPT_HTTPHEADER, $headers);
24 curl_setopt($curl, CURLOPT_POST, 1);
25 curl_setopt($curl, CURLOPT_POSTFIELDS, $params);
26 // 运行curl
27 $data = curl_exec($curl);
28 curl_close($curl);
29
30 return $data;
31}
32
33function get_image_b64($image_path = '')
34{
35 $image_b64 = '';
36 if(file_exists($image_path)) {
37 $image_data = file_get_contents($image_path);
38 print("file exists\n");
39 $image_b64_tmp = base64_encode($image_data);
40 $image_b64 = urlencode($image_b64_tmp);
41 //print($image_b64);
42 } else {
43 print("file doesn't exists\n");
44 }
45 return $image_b64;
46}
47// iocr识别api_url
48$recognise_api_url = "https://aip.baidubce.com/rest/2.0/solution/v1/iocr/recognise/finance";
49
50
51$access_token = "your_access_token";
52$templateSign = "your_templateSign";
53$detectorId = 0;
54$classifierId = "your_classifier_id";
55$image_path = "your_file_path";
56$image_b64 = get_image_b64($image_path);
57// iocr识别bodys
58$recognise_bodys = "access_token=". $access_token. "&templateSign=". $templateSign. "&image=". $image_b64;
59# 分类器请求的bodys
60$classifier_bodys = "access_token=". $access_token. "&classifierId=". $classifierId. "&image=". $image_b64;
61# 请求模板
62$response = request_post($recognise_api_url, $recognise_bodys);
63# 请求分类器
64# $response = request_post($recognise_api_url, $classifier_bodys);
65
66var_dump($response)
67?>1using System;
2using System.Net;
3using System.IO;
4using System.Text;
5using System.Web;
6
7namespace iocr_api_demo
8{
9 class IocrApiDemo
10 {
11 static void Main(String[] args)
12 {
13 PostHttp();
14 }
15 public static void PostHttp(){
16 // fileUtils.cs 类下载地址
17 // https://bj.bcebos.com/v1/iocr-movie/FileUtils.cs
18 // iocr识别api_url
19 String recognise_api_url = "https://aip.baidubce.com/rest/2.0/solution/v1/iocr/recognise/finance";
20
21 String access_token = "your_access_token";
22 String image_path = "your_file_path";
23 String image_b64 = FileUtils.getFileBase64(image_path);
24 // iocr按模板id识别的请求bodys
25 string templateSign = "yout_templateSign";
26 string recognise_bodys = "access_token=" + access_token + "&templateSign=" + templateSign +
27 "&image=" + HttpUtility.UrlEncode(image_b64);
28 // iocr按分类器id识别的请求bodys
29 int classifierId = "your_classifier_id";
30 String classifier_bodys = "access_token=" + access_token + "&classifierId=" + classifierId + "&image=" + HttpUtility.UrlEncode(image_b64);
31
32 HttpWebRequest httpWebRequest = (HttpWebRequest)WebRequest.Create(recognise_api_url);
33 httpWebRequest.ContentType = "application/x-www-form-urlencoded";
34 httpWebRequest.Method = "POST";
35 httpWebRequest.KeepAlive = true;
36 try{
37 // 请求模板id
38 byte[] btBodys = Encoding.UTF8.GetBytes(recognise_bodys);
39 // 请求分类器id
40 // byte[] btBodys = Encoding.UTF8.GetBytes(classifier_bodys);
41 httpWebRequest.ContentLength = btBodys.Length;
42 httpWebRequest.GetRequestStream().Write(btBodys, 0, btBodys.Length);
43 HttpWebResponse httpWebResponse = (HttpWebResponse)httpWebRequest.GetResponse();
44 StreamReader streamReader = new StreamReader(httpWebResponse.GetResponseStream());
45 string responseContent = streamReader.ReadToEnd();
46 Console.WriteLine(responseContent);
47 httpWebResponse.Close();
48 streamReader.Close();
49 httpWebRequest.Abort();
50 httpWebResponse.Close();
51 } catch (Exception e){
52 Console.Write(e.Message);
53 }
54 }
55 }
56}返回说明
返回参数
字段 |
是否必选 |
类型 |
说明 |
|---|---|---|---|
| logid | 是 | uint64 | 唯一的log id，用于问题定位 |
| error_code | 是 | int | 0代表成功，如果有错误码返回可以参考下方错误码列表排查问题 |
| error_msg | 是 | string | 如果error_code具体的失败信息，可以参考下方错误码列表排查问题 |
| data | 是 | jsonObject | 识别返回的结果 |
| + ret | 是 | jsonArray | 识别出来的字段数组，每一个单元里包含以下几个元素 |
| ++ word_name | 否 | string | isStructured 为 true 时存在，表示字段的名字；如果 isStructured 为 false 时，不存在 |
| ++ word | 否 | string | 识别的字符串或单字 |
| ++ location | 否 | jsonObject | 字段在原图上对应的矩形框位置，通过上边距、左边距、宽度、高度表示 |
| ++ probability | 否 | jsonObject | 字段的置信度，包括平均、最小和方差 |
| + templateSign | 否 | string | 图片分类结果对应的模板id或指定使用的模版id。templateSign的对应关系为： - mixed_receipt：混贴发票，可对粘贴单中的多张不同票据进行检测分类，返回每张发票的类别及识别结果； - vat_invoice：增值税发票； - taxi_receipt：出租车票； - roll_ticket：卷票； - train_ticket：火车票； - quota_invoice：定额发票； - air_ticket：行程单； - car_invoice：汽车票； - toll_invoice：通行费发票； - printed_invoice：机打发票。 |
| + scores | 否 | float | 分类置信度，如果指定templateSign，则该值为1 |
| + isStructured | 否 | string | 表示是否结构化成功，true为成功，false为失败；成功时，返回结构化的识别结果；失败时，如果能识别，按行返回结果，如果不能识别，返回空 |
返回示例
- 使用自定义模板及自定义分类器功能时，返回结果可参考 iOCR通用版-返回示例；
- templateSign = mixed_receipt 时，返回结果如下所示：
JSON
1{
2 "data": {
3 "ret": [
4 {
5 "ret": [
6 {
7 "rect": {
8 "top": 277,
9 "left": 237,
10 "width": 61,
11 "height": 10
12 },
13 "probability": {
14 "average": 0.98831981420517,
15 "min": 0.96548694372177
16 },
17 "word_name": "AmountInWords",
18 "word": "叁佰陆拾圆整"
19 },
20 {
21 "rect": {
22 "top": 29,
23 "left": 482,
24 "width": 85,
25 "height": 18
26 },
27 "probability": {
28 "average": 0.99745708703995,
29 "min": 0.99514311552048
30 },
31 "word_name": "InvoiceNumConfirm",
32 "word": "07286261"
33 },
34 {
35 "rect": {
36 "top": 352,
37 "left": 393,
38 "width": 32,
39 "height": 12
40 },
41 "probability": {
42 "average": 0.99022936820984,
43 "min": 0.98398983478546
44 },
45 "word_name": "NoteDrawer",
46 "word": "余佳燕"
47 },
48 {
49 "rect": {
50 "top": 326,
51 "left": 158,
52 "width": 214,
53 "height": 10
54 },
55 "probability": {
56 "average": 0.94039279222488,
57 "min": 0.39105615019798
58 },
59 "word_name": "SellerAddress",
60 "word": "杭州市转塘科技经济区块16号8幢0571-85022088"
61 },
62 {
63 "rect": {
64 "top": 311,
65 "left": 171,
66 "width": 146,
67 "height": 12
68 },
69 "probability": {
70 "average": 0.99681425094604,
71 "min": 0.98468536138535
72 },
73 "word_name": "SellerRegisterNum",
74 "word": "91330106673959654P"
75 },
76 {
77 "rect": {
78 "top": 0,
79 "left": 0,
80 "width": -1,
81 "height": -1
82 },
83 "probability": {
84 "average": 0,
85 "min": 0
86 },
87 "word_name": "MachineCode",
88 "word": ""
89 },
90 {
91 "rect": {
92 "top": 0,
93 "left": 0,
94 "width": -1,
95 "height": -1
96 },
97 "probability": {
98 "average": 0,
99 "min": 0
100 },
101 "word_name": "Remarks",
102 "word": ""
103 },
104 {
105 "rect": {
106 "top": 339,
107 "left": 158,
108 "width": 181,
109 "height": 11
110 },
111 "probability": {
112 "average": 0.99247741699219,
113 "min": 0.8911309838295
114 },
115 "word_name": "SellerBank",
116 "word": "招商银行杭州高新支行502905023610702"
117 },
118 {
119 "rect": {
120 "top": 259,
121 "left": 576,
122 "width": 43,
123 "height": 10
124 },
125 "probability": {
126 "average": 0.97683322429657,
127 "min": 0.89436012506485
128 },
129 "word_name": "TotalTax",
130 "word": "20.38"
131 },
132 {
133 "rect": {
134 "top": 32,
135 "left": 124,
136 "width": 101,
137 "height": 16
138 },
139 "probability": {
140 "average": 0.99661940336227,
141 "min": 0.99573355913162
142 },
143 "word_name": "InvoiceCodeConfirm",
144 "word": "3321192130"
145 },
146 {
147 "rect": {
148 "top": 0,
149 "left": 0,
150 "width": -1,
151 "height": -1
152 },
153 "probability": {
154 "average": 0,
155 "min": 0
156 },
157 "word_name": "CheckCode",
158 "word": ""
159 },
160 {
161 "rect": {
162 "top": 32,
163 "left": 124,
164 "width": 101,
165 "height": 16
166 },
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