【图纸识别信息到表格】批量识别图纸区域的内容导出到Excel表格，很难吗，下面教你实现方案，基于C++和腾讯Api的实现方案

#include <iostream>
#include <fstream>
#include <vector>
#include <string>
#include <curl/curl.h>
#include <nlohmann/json.hpp>
#include <libxl.h>
#include <base64.h>

// 回调函数，用于处理 HTTP 响应
size_t WriteCallback(void *contents, size_t size, size_t nmemb, std::string *s) {
    size_t newLength = size * nmemb;
    try {
        s->append((char*)contents, newLength);
    } catch(std::bad_alloc &e) {
        return 0;
    }
    return newLength;
}

// 调用腾讯云文字识别 API
std::string recognizeImage(const std::string& imageBase64, const std::string& secretId, const std::string& secretKey) {
    CURL *curl;
    CURLcode res;
    std::string readBuffer;

    curl = curl_easy_init();
    if(curl) {
        std::string url = "https://ocr.tencentcloudapi.com/";
        std::string postFields = "{\"ImageBase64\":\"" + imageBase64 + "\",\"Action\":\"GeneralBasicOCR\",\"Version\":\"2018-11-19\",\"Region\":\"ap-guangzhou\",\"SecretId\":\"" + secretId + "\",\"Timestamp\":" + std::to_string(time(nullptr)) + ",\"Nonce\":123456,\"SignatureMethod\":\"HmacSHA256\",\"RequestClient\":\"SDK_PHP_3.0\"}";

        curl_easy_setopt(curl, CURLOPT_URL, url.c_str());
        curl_easy_setopt(curl, CURLOPT_POSTFIELDS, postFields.c_str());
        curl_easy_setopt(curl, CURLOPT_WRITEFUNCTION, WriteCallback);
        curl_easy_setopt(curl, CURLOPT_WRITEDATA, &readBuffer);

        res = curl_easy_perform(curl);
        if(res != CURLE_OK) {
            std::cerr << "curl_easy_perform() failed: " << curl_easy_strerror(res) << std::endl;
        }
        curl_easy_cleanup(curl);
    }
    return readBuffer;
}

// 读取文件为二进制数据
std::string readFile(const std::string& filename) {
    std::ifstream file(filename, std::ios::binary);
    std::string content((std::istreambuf_iterator<char>(file)), std::istreambuf_iterator<char>());
    return content;
}

// 导出识别结果到 Excel 文件
void exportToExcel(const std::vector<std::string>& results, const std::string& excelFilename) {
    libxl::Book* book = xlCreateBook();
    if (book) {
        libxl::Sheet* sheet = book->addSheet("Sheet1");
        if (sheet) {
            for (size_t i = 0; i < results.size(); ++i) {
                sheet->writeStr(i, 0, results[i].c_str());
            }
        }
        book->save(excelFilename.c_str());
        book->release();
    }
}

int main() {
    std::string secretId = "your_secret_id";
    std::string secretKey = "your_secret_key";
    std::string folderPath = "path/to/your/image/folder";
    std::string excelFilename = "output.xlsx";

    std::vector<std::string> recognitionResults;

    // 遍历文件夹中的所有图纸文件
    // 这里简单假设所有文件都是图纸文件
    // 实际应用中需要进行文件类型过滤
    std::ifstream dir(folderPath);
    std::string filename;
    while (std::getline(dir, filename)) {
        std::string filePath = folderPath + "/" + filename;
        std::string imageData = readFile(filePath);
        std::string imageBase64 = base64_encode(reinterpret_cast<const unsigned char*>(imageData.c_str()), imageData.length());

        std::string response = recognizeImage(imageBase64, secretId, secretKey);
        nlohmann::json jsonResponse = nlohmann::json::parse(response);

        if (jsonResponse.contains("Response") && jsonResponse["Response"].contains("TextDetections")) {
            for (const auto& detection : jsonResponse["Response"]["TextDetections"]) {
                std::string text = detection["DetectedText"].get<std::string>();
                recognitionResults.push_back(text);
            }
        }
    }

    // 导出识别结果到 Excel 文件
    exportToExcel(recognitionResults, excelFilename);

    return 0;
}