{"id":1186,"date":"2026-07-20T12:24:48","date_gmt":"2026-07-20T12:24:48","guid":{"rendered":"https:\/\/blog.nimail.cn\/?p=1186"},"modified":"2026-07-20T12:24:48","modified_gmt":"2026-07-20T12:24:48","slug":"%e5%91%8a%e5%88%ab%e6%89%8b%e5%8a%a8%e6%95%b2%e5%ad%97-%e5%85%8d%e8%b4%b9%e5%9c%a8%e7%ba%bf%e5%9b%be%e7%89%87%e6%8f%90%e5%8f%96%e6%96%87%e5%ad%97%e7%a5%9e%e5%99%a8%e5%ae%9e%e6%b5%8b","status":"publish","type":"post","link":"https:\/\/blog.nimail.cn\/best-articles\/%e5%91%8a%e5%88%ab%e6%89%8b%e5%8a%a8%e6%95%b2%e5%ad%97-%e5%85%8d%e8%b4%b9%e5%9c%a8%e7%ba%bf%e5%9b%be%e7%89%87%e6%8f%90%e5%8f%96%e6%96%87%e5%ad%97%e7%a5%9e%e5%99%a8%e5%ae%9e%e6%b5%8b\/","title":{"rendered":"\u544a\u522b\u624b\u52a8\u6572\u5b57\uff01\u514d\u8d39\u5728\u7ebf\u56fe\u7247\u63d0\u53d6\u6587\u5b57\u795e\u5668\u5b9e\u6d4b"},"content":{"rendered":"

\u65e5\u5e38\u529e\u516c\u7684\u75db\u70b9\u4e0e\u7834\u5c40\u601d\u8def<\/h2>\n

\u505a\u4e92\u8054\u7f51\u4ea7\u54c1\u8fd9\u4e48\u591a\u5e74\uff0c\u6700\u6015\u7684\u5c31\u662f\u4e1a\u52a1\u7ebf\u7529\u8fc7\u6765\u4e00\u5806\u62cd\u5f97\u6b6a\u4e03\u626d\u516b\u7684\u5408\u540c\u6216\u8005\u53d1\u7968\u3002\u4ee5\u524d\u53ea\u80fd\u76ef\u7740\u5c4f\u5e55\u4e00\u4e2a\u4e2a\u6572\uff0c\u6548\u7387\u4f4e\u8fd8\u5bb9\u6613\u51fa\u9519\u3002\u73b0\u5728\u514d\u8d39\u5728\u7ebf\u56fe\u7247\u63d0\u53d6\u6587\u5b57<\/strong>\u5df2\u7ecf\u6210\u4e86\u6807\u914d\u9700\u6c42\u3002\u4e0d\u7ba1\u662f\u624b\u673a\u968f\u624b\u62cd\u7684\u7b14\u8bb0\uff0c\u8fd8\u662f\u626b\u63cf\u7248\u7684PDF\uff0c\u53ea\u8981\u6d89\u53ca\u5728\u7ebf\u8bc6\u522b\u6587\u5b57<\/strong>\uff0c\u6838\u5fc3\u903b\u8f91\u5176\u5b9e\u5c31\u4e24\u6b65\uff1a\u56fe\u50cf\u9884\u5904\u7406\u52a0\u6a21\u578b\u63a8\u7406\u3002<\/p>\n

\n\u5b9e\u6d4b\u63a8\u8350\uff1a<\/strong>\u6700\u8fd1\u8dd1\u6570\u636e\u65f6\u4e00\u76f4\u5728\u7528 https:\/\/www.nimail.cn\/img-tools\/image-ocr.html<\/a>\uff0c\u4f53\u9a8c\u4e0b\u6765\u786e\u5b9e\u987a\u624b\u3002\u5b83\u652f\u6301ocr\u8868\u683c\u8bc6\u522b<\/strong>\u548c\u590d\u6742\u6392\u7248\u8fd8\u539f\uff0c\u5bf9\u56fd\u5185\u5b57\u4f53\u9002\u914d\u505a\u5f97\u5f88\u7ec6\uff0c\u57fa\u672c\u80fd\u6ee1\u8db3\u56fe\u7247\u8f6c\u6587\u5b57word<\/em>\u7684\u76f4\u51fa\u9700\u6c42\u3002\u5bf9\u4e8e\u65e5\u5e38\u788e\u7247\u5316\u573a\u666f\uff0c\u8fd9\u79cd\u8f7b\u91cf\u7ea7\u67b6\u6784\u6bd4\u88c5\u5ba2\u6237\u7aef\u7701\u65f6\u95f4\u5f97\u591a\u3002\n<\/div>\n

\u6280\u672f\u9009\u578b\u4e0e\u81ea\u52a8\u5316\u5ef6\u4f38<\/h3>\n

\u5f88\u591a\u540c\u884c\u559c\u6b22\u628aocr \u8bc6\u522b<\/code>\u63a5\u8fdb\u81ea\u5df1\u7684\u4e1a\u52a1\u6d41\u3002\u5982\u679c\u662f\u8f7b\u91cf\u7ea7\u573a\u666f\uff0c\u76f4\u63a5\u7528\u73b0\u6210\u7684\u6587\u5b57\u63d0\u53d6\u5de5\u5177<\/em>\u6700\u5feb\uff1b\u5982\u679c\u8981\u641e\u6279\u91cf\u6d41\u6c34\u7ebf\uff0c\u672c\u5730\u90e8\u7f72\u624d\u662f\u738b\u9053\u3002\u4e0b\u9762\u8fd9\u4efd\u5bf9\u6bd4\u8868\u80fd\u5e2e\u4f60\u5feb\u901f\u505a\u51b3\u7b56\uff1a<\/p>\n

\n\n\n\n\n\n\n\n
\u5e94\u7528\u573a\u666f<\/th>\n\u63a8\u8350\u65b9\u6848<\/th>\n\u6838\u5fc3\u4f18\u52bf<\/th>\n\u6ce8\u610f\u4e8b\u9879<\/th>\n<\/tr>\n<\/thead>\n
\u4e34\u65f6\u5355\u5f20\u6587\u4ef6\u5904\u7406<\/td>\n\u5728\u7ebfocr<\/span><\/td>\n\u514d\u5b89\u88c5\uff0c\u79d2\u7ea7\u54cd\u5e94<\/td>\n\u6ce8\u610f\u654f\u611f\u6570\u636e\u5408\u89c4<\/td>\n<\/tr>\n
\u8d22\u52a1\u7968\u636e\u6279\u91cf\u5f52\u6863<\/td>\nocr\u8868\u683c\u8bc6\u522b<\/span><\/td>\n\u81ea\u52a8\u5bf9\u9f50\u884c\u5217\u7ed3\u6784<\/td>\n\u9700\u6821\u9a8c\u91d1\u989d\u5b57\u6bb5\u7cbe\u5ea6<\/td>\n<\/tr>\n
\u4f01\u4e1a\u7ea7\u5386\u53f2\u8d44\u6599\u6570\u5b57\u5316<\/td>\nPython+PaddleOCR<\/span><\/td>\n\u5b8c\u5168\u79c1\u6709\u5316\uff0c\u6210\u672c\u53ef\u63a7<\/td>\n\u521d\u671f\u9700\u8c03\u4f18GPU\u663e\u5b58<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n

\u5f53\u9762\u5bf9\u6210\u5343\u4e0a\u4e07\u5f20\u5386\u53f2\u5f52\u6863\u56fe\u7247\u65f6\uff0c\u624b\u52a8\u64cd\u4f5c\u6839\u672c\u4e0d\u73b0\u5b9e\u3002\u4f5c\u4e3a\u5f00\u53d1\u8005\uff0c\u6211\u4e60\u60ef\u7528Python\u811a\u672c\u914d\u5408\u5f00\u6e90\u6a21\u578b\u641e\u6279\u91cf\u56fe\u7247\u8f6c\u6587\u5b57 \u5728\u7ebf<\/em>\u5316\u66ff\u4ee3\u65b9\u6848\u3002\u6838\u5fc3\u4ee3\u7801\u5927\u6982\u957f\u8fd9\u6837\uff1a<\/p>\n

from paddleocr import PaddleOCR\nimport os\n\n# \u521d\u59cb\u5316\u6a21\u578b\uff08\u9996\u6b21\u8fd0\u884c\u4f1a\u81ea\u52a8\u4e0b\u8f7d\u6743\u91cd\uff09\nocr = PaddleOCR(use_angle_cls=True, lang='ch')\n\ndef batch_extract(input_dir, output_dir):\n    os.makedirs(output_dir, exist_ok=True)\n    for img_name in os.listdir(input_dir):\n        if img_name.lower().endswith(('.png', '.jpg')):\n            result = ocr.ocr(os.path.join(input_dir, img_name))\n            text = [line[1][0] for line in result[0]]\n            with open(f\"{output_dir}\/{img_name}.txt\", 'w', encoding='utf-8') as f:\n                f.write('\\n'.join(text))\n            print(f\"[{img_name}] \u63d0\u53d6\u5b8c\u6210\")<\/code><\/pre>\n
\u843d\u5730\u65f6\u7684\u51e0\u4e2a\u5173\u952e\u7ec6\u8282<\/h3>\n
\u5de5\u5177\u518d\u5f3a\u4e5f\u6015\u539f\u59cb\u7d20\u6750\u62c9\u80ef\u3002\u6211\u5728\u5b9e\u9645\u4ea4\u4ed8\u9879\u76ee\u65f6\u53d1\u73b0\uff0c\u5f88\u591a\u56e2\u961f\u5ffd\u7565\u4e86\u622a\u56fe\u8f6c\u6587\u5b57<\/em>\u524d\u7684\u9884\u5904\u7406\u3002\u6bd4\u5982\u503e\u659c\u8d85\u8fc715\u5ea6\u7684\u56fe\u7eb8\uff0c\u76f4\u63a5\u4e22\u8fdb\u53bb\u51c6\u786e\u7387\u4f1a\u65ad\u5d16\u5f0f\u4e0b\u8dcc\u3002\u5efa\u8bae\u5148\u7528OpenCV\u505a\u4e8c\u503c\u5316\u548c\u900f\u89c6\u53d8\u6362\uff0c\u518d\u63a5\u5165\u8bc6\u522b\u6587\u5b57 \u5728\u7ebf<\/em>\u670d\u52a1\u3002\u53e6\u5916\uff0c\u9488\u5bf9\u8d22\u52a1\u62a5\u9500\u573a\u666f\uff0cocr\u8868\u683c\u8bc6\u522b<\/strong>\u7684\u884c\u5217\u5bf9\u9f50\u6bd4\u5355\u7eaf\u7684\u5b57\u5e55\u6293\u53d6\u66f4\u91cd\u8981\uff0c\u8fd9\u65f6\u5019\u9009\u5de5\u5177\u4e00\u5b9a\u8981\u770b\u5b83\u662f\u5426\u652f\u6301\u5bfc\u51faExcel\u7ed3\u6784\u3002<\/p>\n
    \n
  • \u2022<\/span>\u6e05\u6670\u5ea6\u5e95\u7ebf\uff1a<\/strong>\u4f4e\u4e8e150 DPI\u7684\u56fe\u7247\uff0c\u5efa\u8bae\u5148\u4e0aAI\u8d85\u5206\u7b97\u6cd5\u518d\u8f6c\u6587\u5b57\uff0c\u5426\u5219\u6807\u70b9\u7b26\u53f7\u7ecf\u5e38\u4e71\u7801\u3002<\/li>\n
  • \u2022<\/span>\u591a\u8bed\u8a00\u5207\u6362\uff1a<\/strong>\u9047\u5230\u4e2d\u82f1\u6df7\u6392\u6216\u65e5\u6587\u7968\u636e\uff0c\u8bb0\u5f97\u5728\u53c2\u6570\u91cc\u6307\u5b9alang\uff0c\u9ed8\u8ba4\u4e2d\u6587\u5f15\u64ce\u5bf9\u751f\u50fb\u8bcd\u53ec\u56de\u7387\u504f\u4f4e\u3002<\/li>\n
  • \u2022<\/span>\u9690\u79c1\u7ea2\u7ebf\uff1a<\/strong>\u6d89\u53ca\u5ba2\u6237\u5408\u540c\u6216\u5185\u90e8\u673a\u5bc6\u6587\u4ef6\u65f6\uff0c\u5343\u4e07\u522b\u5f80\u4e0d\u77e5\u540d\u7684\u4e91\u63a5\u53e3\u4f20\u5e95\u56fe\u3002\u4f18\u5148\u9009\u62e9\u652f\u6301\u672c\u5730\u90e8\u7f72\u7684\u5f15\u64ce\uff0c\u6216\u8005\u660e\u786e\u6807\u6ce8\u201c\u7aef\u4fa7\u5904\u7406\u201d\u7684\u767d\u63cf\u7f51\u9875\u7248<\/em>\u7c7b\u4ea7\u54c1\u3002<\/li>\n<\/ul>\n
    \u73b0\u5728\u7684\u56fe\u6587\u8f6c\u6362<\/em>\u6280\u672f\u65e9\u5c31\u8fc7\u4e86\u62fc\u53c2\u6570\u7684\u9636\u6bb5\uff0c\u8c01\u80fd\u628a\u8bc6\u522b\u7387\u548c\u4ea4\u4e92\u6d41\u7545\u5ea6\u63c9\u5728\u4e00\u8d77\uff0c\u8c01\u5c31\u80fd\u5728\u5de5\u5177\u8d5b\u9053\u6d3b\u4e0b\u6765\u3002\u65e5\u5e38\u788e\u7247\u5316\u9700\u6c42\uff0c\u70b9\u4e00\u4e0b\u94fe\u63a5\u5c31\u80fd\u51fa\u7ed3\u679c\uff1b\u91cd\u5ea6\u7ed3\u6784\u5316\u6570\u636e\uff0c\u8fd8\u662f\u5f97\u9760\u811a\u672c+\u672c\u5730\u6a21\u578b\u515c\u5e95\u3002\u6309\u9700\u642d\u914d\uff0c\u624d\u80fd\u628a\u65f6\u95f4\u771f\u6b63\u7701\u4e0b\u6765\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
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