使用javascript实现对于chineseocr的API调用

ChineseOCR在线API

• 网页地址

界面

• 提供多种接口调用方式，比如在线调用、Javascript api调用、curl api调用和python api调用四种方式，本次使用javascript api调用的方式进行OCR识别

 在线Javascript工具

• 在线工具网页链接

在线Base64 转化工具

• 在线工具网页链接

代码修改

• 新增一个变量fill_with_base64_image接收图片的base64编码的字符串
• 将input内的<fill_with_base64_image>两边的尖括号删除，运行代码
• 返回两个参数，take_time和output，take_time接收检测的时间，output接收识别后的字符串

async function fetchAsync() {
  try {
    let url = 'https://momodel.cn/pyapi/apps/run/5cd04ee51afd94639a492b8e'
    let fill_with_base64_image = 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