API文档
更新时间：2022-03-24
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。
# 请求模板id
curl -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'
# 请求分类器id
curl -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'# -*- coding:UTF-8 -*-
# -*- encoding: utf-8 -*-
import base64
import requests
if sys.version_info.major == 2:
from urllib import quote
else:
from urllib.parse import quote
headers = {
'Content-Type': "application/x-www-form-urlencoded",
'charset': "utf-8"
}
if __name__ == '__main__':
# 代码中所需的工具包requests
# 安装方式:pip install requests
# iocr识别api_url
recognise_api_url = "https://aip.baidubce.com/rest/2.0/solution/v1/iocr/recognise/finance"
access_token = "your_access_token"
templateSign = "your_templateSign"
detectorId = 0
classifierId = "your_classifier_id"
# 测试数据路径
image_path = "your_file_path"
try:
with open(image_path, 'rb') as f:
image_data = f.read()
if sys.version_info.major == 2:
image_b64 = base64.b64encode(image_data).replace("\r", "")
else:
image_b64 = base64.b64encode(image_data).decode().replace("\r", "")
# 请求模板的bodys
recognise_bodys = "access_token=" + access_token + "&templateSign=" + templateSign + \
"&image=" + quote(image_b64.encode("utf8"))
# 请求分类器的bodys
classifier_bodys = "access_token=" + access_token + "&classifierId=" + classifierId + \
"&image=" + quote(image_b64.encode("utf8"))
# 请求模板识别
response = requests.post(recognise_api_url, data=recognise_bodys, headers=headers)
# 请求分类器识别
# response = requests.post(recognise_api_url, data=classifier_bodys, headers=headers)
print response.text
except Exception as e:
print epackage com.baidu.ocr;
import com.baidu.ai.aip.utils.Base64Util;
import com.baidu.ai.aip.utils.FileUtil;
import com.baidu.ai.aip.utils.HttpUtil;
public class App
{
public static void main(String[] args) throws Exception
{
/**
* 重要提示代码中所需工具类
* FileUtil,Base64Util,HttpUtil,GsonUtils请从
* https://ai.baidu.com/file/658A35ABAB2D404FBF903F64D47C1F72
* https://ai.baidu.com/file/C8D81F3301E24D2892968F09AE1AD6E2
* https://ai.baidu.com/file/544D677F5D4E4F17B4122FBD60DB82B3
* https://ai.baidu.com/file/470B3ACCA3FE43788B5A963BF0B625F3
* 下载
*/
// iocr识别apiUrl
String recogniseUrl = "https://aip.baidubce.com/rest/2.0/solution/v1/iocr/recognise/finance";
String filePath = "path\to\your\image.jpg";
try {
byte[] imgData = FileUtil.readFileByBytes(filePath);
String imgStr = Base64Util.encode(imgData);
// 请求模板参数
String recogniseParams = "templateSign=your_template_sign&image=" + URLEncoder.encode(imgStr, "UTF-8");
// 请求分类器参数
String classifierParams = "classifierId=your_classfier_id&image=" + URLEncoder.encode(imgStr, "UTF-8");
String accessToken = "your_access_token";
// 请求模板识别
String result = HttpUtil.post(recogniseUrl, accessToken, recogniseParams);
// 请求分类器识别
// String result = HttpUtil.post(recogniseUrl, accessToken, classifierParams);
System.out.println(result);
} catch (Exception e) {
e.printStackTrace();
}
}
}#include <iostream>
#include "curl_install/include/curl/curl.h"
#include <fstream>
#include "Base64.h"
#include <cctype>
#include <iomanip>
#include <sstream>
#include <string>
using namespace std;
// libcurl库下载链接：https://curl.haxx.se/download.html
// 通用iocr的接口url
static string ocr_result;
/**
* 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
* @param 参数定义见libcurl文档
* @return 返回值定义见libcurl文档
*/
static size_t callback(void *ptr, size_t size, size_t nmemb, void *stream) {
// 获取到的body存放在ptr中，先将其转换为string格式
ocr_result = string((char *) ptr, size * nmemb);
return size * nmemb;
}
string url_encode(const std::string &value) {
ostringstream escaped;
escaped.fill('0');
escaped << hex;
for (std::string::const_iterator i = value.begin(), n = value.end(); i != n; ++i) {
std::string::value_type c = (*i);
// Keep alphanumeric and other accepted characters intact
if (isalnum(c) || c == '-' || c == '_' || c == '.' || c == '~') {
escaped << c;
continue;
}
// Any other characters are percent-encoded
escaped << uppercase;
escaped << '%' << setw(2) << int((unsigned char) c);
escaped << nouppercase;
}
return escaped.str();
}
// base64.h下载地址
// https://bj.bcebos.com/v1/iocr-movie/Base64.h
int iocr_regenize(const std::string &image_base64, const std::string &access_token, const std::string &templateSign,
const std::int classifierId, const std::int detectorId) {
// iocr识别apiUrl
const static string recognise_api_url = "https://aip.baidubce.com/rest/2.0/solution/v1/iocr/recognise/finance";
// 请求模板的参数
std::string recognise_params = "access_token=" + access_token + "&templateSign=" + templateSign + "&image=" + image_base64;
// 请求分类器的参数
std::string classifier_params = "access_token=" + access_token
+ "&classifierId=" + std::to_string(classifierId)
+ "&image=" + image_base64;
struct curl_slist * headers = NULL;
headers = curl_slist_append(headers, "Content-Type:application/x-www-form-urlencoded");
headers = curl_slist_append(headers, "charset:utf-8");
CURL *curl;
CURLcode result_code;
int is_success;
curl = curl_easy_init();
if (curl) {
// 使用libcurl post数据：设定待post的url等
curl_easy_setopt(curl, CURLOPT_URL, recognise_api_url.c_str());
curl_easy_setopt(curl, CURLOPT_HTTPHEADER, headers);
curl_easy_setopt(curl, CURLOPT_POST, 1);
curl_easy_setopt(curl, CURLOPT_SSL_VERIFYHOST, false);
curl_easy_setopt(curl,CURLOPT_WRITEFUNCTION,callback);
// 请求模板
curl_easy_setopt(curl, CURLOPT_POSTFIELDS, recognise_params.c_str());
curl_easy_setopt(curl, CURLOPT_POSTFIELDSIZE, recognise_params.size());
// 请求分类器
// curl_easy_setopt(curl, CURLOPT_POSTFIELDS, classifier_params.c_str());
// curl_easy_setopt(curl, CURLOPT_POSTFIELDSIZE, classifier_params.size());
result_code = curl_easy_perform(curl);
// http post不成功时错误处理
if (result_code != CURLE_OK) {
fprintf(stderr, "curl_easy_perform() failed: %s\n",
curl_easy_strerror(result_code));
is_success = 1;
return is_success;
}
curl_easy_cleanup(curl);
curl_slist_free_all(headers);
// 控制台输出识别结果
cout << ocr_result << endl;
is_success = 0;
} else {
fprintf(stderr, "curl_easy_init() failed.");
is_success = 1;
}
return is_success;
}
std::string get_image_b64(const std::string &image_path) {
ifstream f;
f.open(image_path, ios::in | ios::binary);
// 定位指针到文件末尾
f.seekg(0, ios::end);
int size = f.tellg();
// 指针重新回到文件头部
f.seekg(0, ios::beg);
char* buffer = (char*)malloc(sizeof(char)*size);
f.read(buffer,size);
f.close();
// base64编码
std::string image_b64 = base64_encode(buffer, size);
return image_b64;
}
int main() {
std::string access_token = "your_access_token";
std::string image_path = "your_file_path";
std::string templateSign = "your_templateSign";
std::int classifierId = "your_classifier_id";
std::int detectorId = 0;
// 获取本地图片的base64
std::string image_b64 = get_image_b64(image_path);
// urlcode编码
image_b64 = url_encode(image_b64);
// 发送post请求
iocr_regenize(image_b64, access_token, templateSign, classifierId, detectorId);
return 0;
}<?php
/**
* 发起http post请求(REST API), 并获取REST请求的结果
* @param string $url
* @param string $param
* @return - http response body if succeeds, else false.
*/
function request_post($url = '', $params = '')
{
if (empty($url) || empty($params)) {
return false;
}
$headers = array("Content-Type" => "application/x-www-form-urlencoded", "charset" => "utf-8");
// 初始化curl
$curl = curl_init();
curl_setopt($curl, CURLOPT_URL, $url);
curl_setopt($curl, CURLOPT_HEADER, 0);
// 要求结果为字符串且输出到屏幕上
curl_setopt($curl, CURLOPT_RETURNTRANSFER, 1);
curl_setopt($curl, CURLOPT_SSL_VERIFYPEER, false);
// post提交方式
//curl_setopt($curl, CURLOPT_CUSTOMREQUEST, 'POST');
curl_setopt($curl, CURLOPT_HTTPHEADER, $headers);
curl_setopt($curl, CURLOPT_POST, 1);
curl_setopt($curl, CURLOPT_POSTFIELDS, $params);
// 运行curl
$data = curl_exec($curl);
curl_close($curl);
return $data;
}
function get_image_b64($image_path = '')
{
$image_b64 = '';
if(file_exists($image_path)) {
$image_data = file_get_contents($image_path);
print("file exists\n");
$image_b64_tmp = base64_encode($image_data);
$image_b64 = urlencode($image_b64_tmp);
//print($image_b64);
} else {
print("file doesn't exists\n");
}
return $image_b64;
}
// iocr识别api_url
$recognise_api_url = "https://aip.baidubce.com/rest/2.0/solution/v1/iocr/recognise/finance";
$access_token = "your_access_token";
$templateSign = "your_templateSign";
$detectorId = 0;
$classifierId = "your_classifier_id";
$image_path = "your_file_path";
$image_b64 = get_image_b64($image_path);
// iocr识别bodys
$recognise_bodys = "access_token=". $access_token. "&templateSign=". $templateSign. "&image=". $image_b64;
# 分类器请求的bodys
$classifier_bodys = "access_token=". $access_token. "&classifierId=". $classifierId. "&image=". $image_b64;
# 请求模板
$response = request_post($recognise_api_url, $recognise_bodys);
# 请求分类器
# $response = request_post($recognise_api_url, $classifier_bodys);
var_dump($response)
?>using System;
using System.Net;
using System.IO;
using System.Text;
using System.Web;
namespace iocr_api_demo
{
class IocrApiDemo
{
static void Main(String[] args)
{
PostHttp();
}
public static void PostHttp(){
// fileUtils.cs 类下载地址
// https://bj.bcebos.com/v1/iocr-movie/FileUtils.cs
// iocr识别api_url
String recognise_api_url = "https://aip.baidubce.com/rest/2.0/solution/v1/iocr/recognise/finance";
String access_token = "your_access_token";
String image_path = "your_file_path";
String image_b64 = FileUtils.getFileBase64(image_path);
// iocr按模板id识别的请求bodys
string templateSign = "yout_templateSign";
string recognise_bodys = "access_token=" + access_token + "&templateSign=" + templateSign +
"&image=" + HttpUtility.UrlEncode(image_b64);
// iocr按分类器id识别的请求bodys
int classifierId = "your_classifier_id";
String classifier_bodys = "access_token=" + access_token + "&classifierId=" + classifierId + "&image=" + HttpUtility.UrlEncode(image_b64);
HttpWebRequest httpWebRequest = (HttpWebRequest)WebRequest.Create(recognise_api_url);
httpWebRequest.ContentType = "application/x-www-form-urlencoded";
httpWebRequest.Method = "POST";
httpWebRequest.KeepAlive = true;
try{
// 请求模板id
byte[] btBodys = Encoding.UTF8.GetBytes(recognise_bodys);
// 请求分类器id
// byte[] btBodys = Encoding.UTF8.GetBytes(classifier_bodys);
httpWebRequest.ContentLength = btBodys.Length;
httpWebRequest.GetRequestStream().Write(btBodys, 0, btBodys.Length);
HttpWebResponse httpWebResponse = (HttpWebResponse)httpWebRequest.GetResponse();
StreamReader streamReader = new StreamReader(httpWebResponse.GetResponseStream());
string responseContent = streamReader.ReadToEnd();
Console.WriteLine(responseContent);
httpWebResponse.Close();
streamReader.Close();
httpWebRequest.Abort();
httpWebResponse.Close();
} catch (Exception e){
Console.Write(e.Message);
}
}
}
}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：出租车票； - roll_ticket：卷票； - train_ticket：火车票； - quota_invoice：定额发票； - travel_itinerary：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：
{
"data": {
"ret": [
{
"ret": [
{
"rect": {
"top": 277,
"left": 237,
"width": 61,
"height": 10
},
"probability": {
"average": 0.98831981420517,
"min": 0.96548694372177
},
"word_name": "AmountInWords",
"word": "叁佰陆拾圆整"
},
{
"rect": {
"top": 29,
"left": 482,
"width": 85,
"height": 18
},
"probability": {
"average": 0.99745708703995,
"min": 0.99514311552048
},
"word_name": "InvoiceNumConfirm",
"word": "07286261"
},
{
"rect": {
"top": 352,
"left": 393,
"width": 32,
"height": 12
},
"probability": {
"average": 0.99022936820984,
"min": 0.98398983478546
},
"word_name": "NoteDrawer",
"word": "余佳燕"
},
{
"rect": {
"top": 326,
"left": 158,
"width": 214,
"height": 10
},
"probability": {
"average": 0.94039279222488,
"min": 0.39105615019798
},
"word_name": "SellerAddress",
"word": "杭州市转塘科技经济区块16号8幢0571-85022088"
},
{
"rect": {
"top": 311,
"left": 171,
"width": 146,
"height": 12
},
"probability": {
"average": 0.99681425094604,
"min": 0.98468536138535
},
"word_name": "SellerRegisterNum",
"word": "91330106673959654P"
},
{
"rect": {
"top": 0,
"left": 0,
"width": -1,
"height": -1
},
"probability": {
"average": 0,
"min": 0
},
"word_name": "MachineCode",
"word": ""
},
{
"rect": {
"top": 0,
"left": 0,
"width": -1,
"height": -1
},
"probability": {
"average": 0,
"min": 0
},
"word_name": "Remarks",
"word": ""
},
{
"rect": {
"top": 339,
"left": 158,
"width": 181,
"height": 11
},
"probability": {
"average": 0.99247741699219,
"min": 0.8911309838295
},
"word_name": "SellerBank",
"word": "招商银行杭州高新支行502905023610702"
},
{
"rect": {
"top": 259,
"left": 576,
"width": 43,
"height": 10
},
"probability": {
"average": 0.97683322429657,
"min": 0.89436012506485
},
"word_name": "TotalTax",
"word": "20.38"
},
{
"rect": {
"top": 32,
"left": 124,
"width": 101,
"height": 16
},
"probability": {
"average": 0.99661940336227,
"min": 0.99573355913162
},
"word_name": "InvoiceCodeConfirm",
"word": "3321192130"
},
{
"rect": {
"top": 0,
"left": 0,
"width": -1,
"height": -1
},
"probability": {
"average": 0,
"min": 0
},
"word_name": "CheckCode",
"word": ""
},
{
"rect": {
"top": 32,
"left": 124,
"width": 101,
"height": 16
},
"probability": {
"average": 0.99661940336227,
"min": 0.99573355913162
},
"word_name": "InvoiceCode",
"word": "3321192130"
},
{
"rect": {
"top": 65,
"left": 534,
"width": 73,
"height": 12
},
"probability": {
"average": 0.99508810043335,
"min": 0.97497177124023
},
"word_name": "InvoiceDate",
"word": "2019年08月28日"
},
{
"rect": {
"top": 104,
"left": 168,
"width": 147,
"height": 12
},
"probability": {
"average": 0.9933996796608,
"min": 0.96598559617996
},
"word_name": "PurchaserRegisterNum",
"word": "91110911717743469K"
},
{
"rect": {
"top": 18,
"left": 257,
"width": 164,
"height": 19
},
"probability": {
"average": 0.99611341953278,
"min": 0.98104286193848
},
"word_name": "InvoiceTypeOrg",
"word": "浙江增值税专用发票"
},
{
"rect": {
"top": 93,
"left": 405,
"width": 191,
"height": 45
},
"probability": {
"average": 0.97755342721939,
"min": 0.82740485668182
},
"word_name": "Password",
"word": "508>3909>1*>01/-46709-6/3+*7+8>/1*19+7-0**>+58290-6>647-+324865*9*1<*2191/7754/<0>2<838+//5-69--748*<251408<"
},
{
"rect": {
"top": 0,
"left": 0,
"width": -1,
"height": -1
},
"probability": {
"average": 0,
"min": 0
},
"word_name": "Agent",
"word": "否"
},
{
"rect": {
"top": 278,
"left": 511,
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