API 接入文档

import requests, base64

with open("image.png", "rb") as f:
    b64 = base64.b64encode(f.read()).decode()

r = requests.post("https://ai.42ka.cn/api/qrcode/predict", json={
    "base64Image": b64,
    "modelName":   "普通模型",
    "keyCode":     "YOUR_KEYCODE",
    "question":    "识别图中文本"
}, timeout=30)

data = r.json()
if data["err"]:
    print("Error:", data["err"])
else:
    print("Result:", data["msg"])
    print("Time:",   data["time"], "ms")

package main

import (
    "bytes"; "encoding/base64"; "encoding/json"
    "fmt";   "io";               "net/http"; "os"
)

func main() {
    img, _ := os.ReadFile("image.png")
    b64 := base64.StdEncoding.EncodeToString(img)

    body, _ := json.Marshal(map[string]interface{}{
        "base64Image": b64,
        "modelName":   "普通模型",
        "keyCode":     "YOUR_KEYCODE",
        "question":    "识别图中文本",
    })

    resp, _ := http.Post(
        "https://ai.42ka.cn/api/qrcode/predict",
        "application/json", bytes.NewReader(body))
    defer resp.Body.Close()
    data, _ := io.ReadAll(resp.Body)

    var res map[string]interface{}
    json.Unmarshal(data, &res)
    fmt.Println("Result:", res["msg"])
}

import java.net.http.*;
import java.net.URI;
import java.nio.file.*;
import java.util.Base64;

public class OcrDemo {
    public static void main(String[] args) throws Exception {
        byte[] imgBytes = Files.readAllBytes(Path.of("image.png"));
        String b64 = Base64.getEncoder().encodeToString(imgBytes);

        String json = String.format(
            "{\"base64Image\":\"%s\",\"modelName\":\"普通模型\","
            + "\"keyCode\":\"YOUR_KEYCODE\",\"question\":\"识别图中文本\"}", b64);

        var client = HttpClient.newHttpClient();
        var req = HttpRequest.newBuilder()
            .uri(URI.create("https://ai.42ka.cn/api/qrcode/predict"))
            .header("Content-Type", "application/json")
            .POST(HttpRequest.BodyPublishers.ofString(json))
            .build();

        var resp = client.send(req, HttpResponse.BodyHandlers.ofString());
        System.out.println(resp.body());
    }
}

const fs = require('fs')

const img = fs.readFileSync('image.png')
const b64 = img.toString('base64')

fetch('https://ai.42ka.cn/api/qrcode/predict', {
  method: 'POST',
  headers: { 'Content-Type': 'application/json' },
  body: JSON.stringify({
    base64Image: b64,
    modelName:   '普通模型',
    keyCode:     'YOUR_KEYCODE',
    question:    '识别图中文本'
  })
})
.then(r => r.json())
.then(data => {
  if (data.err) console.error('Error:', data.err)
  else          console.log('Result:', data.msg)
})

# 读取并编码图片
B64=$(base64 -i image.png | tr -d '\n')

curl -X POST https://ai.42ka.cn/api/qrcode/predict \
  -H "Content-Type: application/json" \
  -d "{
    \"base64Image\": \"$B64\",
    \"modelName\":   \"普通模型\",
    \"keyCode\":     \"YOUR_KEYCODE\",
    \"question\":    \"识别图中文本\"
  }"

# 查询余额
curl "https://ai.42ka.cn/api/qrcode/balance?keyCode=YOUR_KEYCODE"

<?php
$img = file_get_contents('image.png');
$b64 = base64_encode($img);

$data = json_encode([
    'base64Image' => $b64,
    'modelName'   => '普通模型',
    'keyCode'     => 'YOUR_KEYCODE',
    'question'    => '识别图中文本',
]);

$ch = curl_init('https://ai.42ka.cn/api/qrcode/predict');
curl_setopt_array($ch, [
    CURLOPT_RETURNTRANSFER => true,
    CURLOPT_POST           => true,
    CURLOPT_POSTFIELDS     => $data,
    CURLOPT_HTTPHEADER     => ['Content-Type: application/json'],
]);

$result = json_decode(curl_exec($ch), true);
curl_close($ch);

echo $result['err'] ? 'Error: '.$result['err'] : 'Result: '.$result['msg'];