超级公式-开放平台说明文档
  1. 公式识别接口
超级公式-开放平台说明文档
  • 超级公式简介
  • 对接前必读
  • 公式识别接口
    • 整题识别(含公式)
      POST
    • 试卷识别【图片格式】
      POST
    • 印刷体公式识别
      POST
    • 手写体公式识别
      POST
    • 试卷还原去手写
      POST
    • 试卷识别【PDF格式】
      POST
  1. 公式识别接口

整题识别(含公式)

POST
https://open.ocrmath.com/v3/question/ocr
整题识别(含公式)服务,基于超级公式机器学习团队业界领先的深度学习技术,将自然场景下图片上的题目文字、数字及公式信息,通过定位和检测,智能识别为可编辑的文本信息,轻松实现题目电子化。

请求参数

Authorization
在 header 添加参数
示例:
X-Token: ********************
Header 参数
app_key
string 
必需
填写在开放平台申请的应用app_key
示例值:
1884121
app_secret
string 
必需
填写在开放平台申请的应用app_secret
示例值:
ff14085d6f1225ecc6afdcdb304cdb0a
Body 参数multipart/form-data
base64
string 
可选
【base64和img_url任选其一,推荐base64】图片的base64数据
示例值:
data:image/png;base64,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
img_url
string 
可选
【base64和img_url任选其一,推荐base64】图片的公网路径
示例值:
https://cdn.ocrmath.com/static/images/index/eq2@2x.png
export_word
string 
可选
是否需要导出word:0是不导出 1是导出 (不导出速度会更快)
示例值:
0

示例代码

Shell
JavaScript
Java
Swift
Go
PHP
Python
HTTP
C
C#
Objective-C
Ruby
OCaml
Dart
R
请求示例请求示例
Shell
JavaScript
Java
Swift
curl --location --request POST 'https://open.ocrmath.com/v3/question/ocr' \
--header 'app_key: 1884121' \
--header 'app_secret: ff14085d6f1225ecc6afdcdb304cdb0a'

返回响应

🟢200成功
application/json
Body
object {0}
示例
{}
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