{"id":610,"date":"2025-08-02T21:24:14","date_gmt":"2025-08-02T21:24:14","guid":{"rendered":"https:\/\/blog.nimail.cn\/?p=610"},"modified":"2025-08-02T21:24:14","modified_gmt":"2025-08-02T21:24:14","slug":"%e8%bd%bb%e6%9d%be%e6%8f%90%e5%8f%96%e6%96%87%e5%ad%97-%e5%85%8d%e8%b4%b9%e5%9c%a8%e7%ba%bf%e5%9b%be%e7%89%87ocr%e5%b7%a5%e5%85%b7","status":"publish","type":"post","link":"https:\/\/blog.nimail.cn\/best-articles\/%e8%bd%bb%e6%9d%be%e6%8f%90%e5%8f%96%e6%96%87%e5%ad%97-%e5%85%8d%e8%b4%b9%e5%9c%a8%e7%ba%bf%e5%9b%be%e7%89%87ocr%e5%b7%a5%e5%85%b7\/","title":{"rendered":"\u8f7b\u677e\u63d0\u53d6\u6587\u5b57\uff1a\u514d\u8d39\u5728\u7ebf\u56fe\u7247OCR\u5de5\u5177"},"content":{"rendered":"<div>\n<h2>\u4ec0\u4e48\u662fOCR\u6280\u672f\uff1f<\/h2>\n<p>OCR\uff08Optical Character Recognition\uff0c\u5149\u5b66\u5b57\u7b26\u8bc6\u522b\uff09\u662f\u4e00\u79cd\u5c06\u56fe\u50cf\u4e2d\u7684\u6587\u5b57\u8f6c\u6362\u4e3a\u53ef\u7f16\u8f91\u6587\u672c\u7684\u6280\u672f\u3002\u65e0\u8bba\u662f\u626b\u63cf\u7684\u6587\u6863\u3001\u7167\u7247\u4e2d\u7684\u6587\u5b57\uff0c\u8fd8\u662f\u624b\u5199\u7684\u7b14\u8bb0\uff0cOCR\u90fd\u80fd\u5e2e\u52a9\u6211\u4eec\u5feb\u901f\u63d0\u53d6\u4fe1\u606f\u3002\u5bf9\u4e8e\u9700\u8981\u9891\u7e41\u5904\u7406\u6587\u672c\u7684\u7528\u6237\u6765\u8bf4\uff0c<strong>\u514d\u8d39\u5728\u7ebf\u56fe\u7247\u63d0\u53d6\u6587\u5b57<\/strong>\u5de5\u5177\u663e\u5f97\u5c24\u4e3a\u91cd\u8981\u3002<\/p>\n<h2>\u4f7f\u7528\u5728\u7ebfOCR\u5de5\u5177\u7684\u4f18\u52bf<\/h2>\n<p>\u5728\u7ebfOCR\u5de5\u5177\u63d0\u4f9b\u4e86\u8bb8\u591a\u4f18\u52bf\uff0c\u4ee5\u4e0b\u662f\u4e00\u4e9b\u4e3b\u8981\u7684\u597d\u5904\uff1a<\/p>\n<ul>\n<li><strong>\u4fbf\u6377\u6027\uff1a<\/strong>\u65e0\u9700\u4e0b\u8f7d\u8f6f\u4ef6\uff0c\u76f4\u63a5\u5728\u6d4f\u89c8\u5668\u4e2d\u4f7f\u7528\uff0c\u9002\u7528\u4e8e\u5404\u79cd\u8bbe\u5907\u3002<\/li>\n<li><strong>\u591a\u529f\u80fd\u6027\uff1a<\/strong>\u652f\u6301\u8bc6\u522b\u591a\u79cd\u8bed\u8a00\u548c\u683c\u5f0f\u7684\u6587\u672c\uff0c\u80fd\u591f\u5904\u7406\u590d\u6742\u7684\u8868\u683c\u548c\u56fe\u7247\u3002<\/li>\n<li><strong>\u514d\u8d39\u4f7f\u7528\uff1a<\/strong>\u8bb8\u591a\u5728\u7ebf\u5de5\u5177\u63d0\u4f9b\u4e86\u514d\u8d39\u670d\u52a1\uff0c\u7279\u522b\u662f\u5bf9\u4e8e\u5076\u5c14\u4f7f\u7528\u7684\u7528\u6237\u5341\u5206\u5212\u7b97\u3002<\/li>\n<\/ul>\n<h3>\u63a8\u8350\u5de5\u5177\uff1aNimail OCR<\/h3>\n<p>\u5982\u679c\u4f60\u6b63\u5728\u5bfb\u627e\u4e00\u4e2a\u53ef\u9760\u7684\u5728\u7ebfOCR\u5de5\u5177\uff0c<a href=\"https:\/\/www.nimail.cn\/img-tools\/image-ocr.html\" target=\"_blank\">Nimail OCR<\/a> \u662f\u4e00\u4e2a\u4e0d\u9519\u7684\u9009\u62e9\u3002\u5b83\u4e0d\u4ec5\u652f\u6301\u591a\u79cd\u8bed\u8a00\uff0c\u8fd8\u80fd\u6709\u6548\u8bc6\u522b\u56fe\u7247\u4e2d\u7684\u6587\u5b57\u3002\u4f7f\u7528\u8be5\u5de5\u5177\uff0c\u4f60\u53ea\u9700\u4e0a\u4f20\u56fe\u7247\uff0c\u5c31\u80fd\u8f7b\u677e\u63d0\u53d6\u6587\u5b57\uff0c\u751a\u81f3\u5c06\u5176\u8f6c\u6362\u4e3aWord\u6587\u6863\u3002<\/p>\n<h2>\u5982\u4f55\u4f7f\u7528Nimail OCR\u8fdb\u884c\u6587\u5b57\u63d0\u53d6\uff1f<\/h2>\n<p>\u4f7f\u7528Nimail OCR\u8fdb\u884c\u6587\u5b57\u63d0\u53d6\u975e\u5e38\u7b80\u5355\uff0c\u4ee5\u4e0b\u662f\u5177\u4f53\u6b65\u9aa4\uff1a<\/p>\n<ol>\n<li>\u8bbf\u95ee <a href=\"https:\/\/www.nimail.cn\/img-tools\/image-ocr.html\" target=\"_blank\">Nimail OCR<\/a> \u7f51\u7ad9\u3002<\/li>\n<li>\u70b9\u51fb\u201c\u4e0a\u4f20\u56fe\u7247\u201d\u6309\u94ae\uff0c\u9009\u62e9\u4f60\u8981\u63d0\u53d6\u6587\u5b57\u7684\u56fe\u7247\u3002<\/li>\n<li>\u70b9\u51fb\u201c\u5f00\u59cb\u8bc6\u522b\u201d\u6309\u94ae\uff0c\u7b49\u5f85\u7cfb\u7edf\u5904\u7406\u3002<\/li>\n<li>\u8bc6\u522b\u5b8c\u6210\u540e\uff0c\u7cfb\u7edf\u4f1a\u663e\u793a\u63d0\u53d6\u7684\u6587\u672c\uff0c\u4f60\u53ef\u4ee5\u9009\u62e9\u590d\u5236\u6216\u4e0b\u8f7d\u4e3aWord\u6587\u6863\u3002<\/li>\n<\/ol>\n<h3>Python\u4ee3\u7801\u793a\u4f8b<\/h3>\n<p>\u5982\u679c\u4f60\u662f\u5f00\u53d1\u8005\uff0c\u60f3\u8981\u5728\u81ea\u5df1\u7684\u9879\u76ee\u4e2d\u5b9e\u73b0OCR\u6548\u679c\uff0c\u53ef\u4ee5\u4f7f\u7528Python\u7684\u76f8\u5173\u5e93\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff1a<\/p>\n<pre><code>import pytesseract\nfrom PIL import Image\n\n# \u52a0\u8f7d\u56fe\u7247\nimg = Image.open('your_image.png')\n\n# \u4f7f\u7528Tesseract\u8fdb\u884cOCR\u8bc6\u522b\ntext = pytesseract.image_to_string(img)\n\n# \u8f93\u51fa\u8bc6\u522b\u7684\u6587\u5b57\nprint(text)<\/code><\/pre>\n<p>\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u9996\u5148\u9700\u8981\u5b89\u88c5 <strong>pytesseract<\/strong> \u548c <strong>PIL<\/strong> \u5e93\u3002\u7136\u540e\uff0c\u901a\u8fc7\u52a0\u8f7d\u56fe\u7247\u5e76\u8c03\u7528 <strong>image_to_string<\/strong> \u65b9\u6cd5\uff0c\u5373\u53ef\u8f7b\u677e\u63d0\u53d6\u6587\u5b57\u3002<\/p>\n<h2>OCR\u8868\u683c\u8bc6\u522b\u7684\u5e94\u7528\u573a\u666f<\/h2>\n<p>OCR\u6280\u672f\u5728\u8bb8\u591a\u9886\u57df\u90fd\u6709\u5e7f\u6cdb\u7684\u5e94\u7528\uff0c\u5c24\u5176\u662f\u5728\u5904\u7406\u8868\u683c\u6570\u636e\u65f6\u3002\u4f8b\u5982\uff1a<\/p>\n<ul>\n<li>\u8d22\u52a1\u62a5\u8868\u7684\u6570\u5b57\u63d0\u53d6<\/li>\n<li>\u7968\u636e\u3001\u53d1\u7968\u7684\u4fe1\u606f\u5f55\u5165<\/li>\n<li>\u5b66\u672f\u8bba\u6587\u7684\u5185\u5bb9\u63d0\u53d6\u4e0e\u5206\u6790<\/li>\n<\/ul>\n<p>\u901a\u8fc7\u4f7f\u7528 <strong>OCR\u8868\u683c\u8bc6\u522b<\/strong> \u529f\u80fd\uff0c\u53ef\u4ee5\u5927\u5927\u63d0\u9ad8\u5de5\u4f5c\u6548\u7387\uff0c\u51cf\u5c11\u4eba\u529b\u6210\u672c\u3002<\/p>\n<h3>\u7ffb\u8bd1\u56fe\u7247\u4e2d\u7684\u6587\u5b57<\/h3>\n<p>\u9664\u4e86\u63d0\u53d6\u6587\u5b57\uff0cOCR\u5de5\u5177\u8fd8\u5e38\u5e38\u96c6\u6210\u7ffb\u8bd1\u529f\u80fd\u3002\u4f8b\u5982\uff0c\u5c06\u56fe\u7247\u4e2d\u7684\u6587\u5b57\u63d0\u53d6\u540e\uff0c\u7528\u6237\u53ef\u4ee5\u76f4\u63a5\u5728\u5de5\u5177\u4e2d\u8fdb\u884c\u7ffb\u8bd1\uff0c\u65b9\u4fbf\u5feb\u6377\u3002\u901a\u8fc7\u8fd9\u6837\u7684\u65b9\u5f0f\uff0c\u4e0d\u540c\u8bed\u8a00\u7684\u7528\u6237\u90fd\u80fd\u8f7b\u677e\u9605\u8bfb\u548c\u7406\u89e3\u4fe1\u606f\u3002<\/p>\n<h2>\u603b\u7ed3<\/h2>\n<p>\u5728\u4fe1\u606f\u5316\u65f6\u4ee3\uff0c<strong>\u5728\u7ebf\u8bc6\u522b\u6587\u5b57<\/strong>\u548c\u56fe\u7247\u8f6c\u6587\u5b57\u7684\u9700\u6c42\u6108\u53d1\u5f3a\u70c8\u3002\u5229\u7528\u50cfNimail OCR\u8fd9\u6837\u7684\u5de5\u5177\uff0c\u4e0d\u4ec5\u53ef\u4ee5\u63d0\u9ad8\u5de5\u4f5c\u6548\u7387\uff0c\u8fd8\u53ef\u4ee5\u8282\u7701\u65f6\u95f4\u3002\u65e0\u8bba\u662f\u4e2a\u4eba\u7528\u6237\u8fd8\u662f\u4f01\u4e1a\uff0c\u90fd\u80fd\u4ece\u4e2d\u53d7\u76ca\u3002<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>\u63a2\u7d22\u5982\u4f55\u4f7f\u7528\u514d\u8d39\u5728\u7ebfOCR\u5de5\u5177\u8f7b\u677e\u63d0\u53d6\u56fe\u7247\u4e2d\u7684\u6587\u5b57\u3002\u4e86\u89e3OCR\u8868\u683c\u8bc6\u522b\u3001\u6587\u5b57\u63d0\u53d6\u5de5\u5177\u7684\u4f7f\u7528\u65b9\u6cd5\uff0c\u5e76\u901a\u8fc7Python\u4ee3\u7801\u793a\u4f8b\u5e2e\u52a9\u4f60\u5feb\u901f\u5b9e\u73b0\u56fe\u7247\u8f6c\u6587\u5b57\u7684\u529f\u80fd\u3002<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[268,269,168],"class_list":["post-610","post","type-post","status-publish","format-standard","hentry","category-best-articles","tag-word","tag-269","tag-168"],"yoast_head":"<!-- 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