{"id":55759,"date":"2025-02-19T08:35:32","date_gmt":"2025-02-19T00:35:32","guid":{"rendered":"https:\/\/fwq.ai\/blog\/55759\/"},"modified":"2025-02-19T08:35:32","modified_gmt":"2025-02-19T00:35:32","slug":"%e5%88%a9%e7%94%a8%e5%a4%9a%e6%a8%a1%e6%80%81%e5%a4%a7%e6%a8%a1%e5%9e%8b%e6%8f%90%e5%8f%96%e4%bb%bb%e6%84%8f%e6%96%87%e6%a1%a3%e5%86%85%e8%a1%a8%e6%a0%bc%e4%b8%bahtml%e6%a0%bc%e5%bc%8f%e6%96%87","status":"publish","type":"post","link":"https:\/\/fwq.ai\/blog\/55759\/","title":{"rendered":"\u5229\u7528\u591a\u6a21\u6001\u5927\u6a21\u578b\u63d0\u53d6\u4efb\u610f\u6587\u6863\u5185\u8868\u683c\u4e3ahtml\u683c\u5f0f\u6587\u4ef6"},"content":{"rendered":"<p>\u4ec5\u63d0\u53d6\u6587\u6863\u5185\u8868\u683c\u4e3ahtml\u683c\u5f0f\u6587\u4ef6\uff0c\u6587\u6863\u5185\u591a\u8868\u683c\u3001\u7ffb\u9875\u8868\u683c\u5747\u53ef\u6b63\u786e\u63d0\u53d6\uff0c\u76ee\u524d\u9002\u914dgemini-2.0-flash-exp\u6548\u679c\u8f83\u597d\u3002<\/p>\n<p><img decoding=\"async\" class=\"aligncenter\" src=\"\/\/www.w3.org\/2000\/svg'%20viewBox='0%200%201049%20571'%3E%3C\/svg%3E\" title=\"\u5229\u7528\u591a\u6a21\u6001\u5927\u6a21\u578b\u63d0\u53d6\u4efb\u610f\u6587\u6863\u5185\u8868\u683c\u4e3ahtml\u683c\u5f0f\u6587\u4ef6\u63d2\u56fe\" alt=\"\u5229\u7528\u591a\u6a21\u6001\u5927\u6a21\u578b\u63d0\u53d6\u4efb\u610f\u6587\u6863\u5185\u8868\u683c\u4e3ahtml\u683c\u5f0f\u6587\u4ef6\u63d2\u56fe\" \/> <img decoding=\"async\" class=\"aligncenter\" src=\"https:\/\/www.aisharenet.com\/wp-content\/uploads\/2024\/12\/a5fc09d1ac8d3ef.jpg\" title=\"\u5229\u7528\u591a\u6a21\u6001\u5927\u6a21\u578b\u63d0\u53d6\u4efb\u610f\u6587\u6863\u5185\u8868\u683c\u4e3ahtml\u683c\u5f0f\u6587\u4ef6\u63d2\u56fe1\" alt=\"\u5229\u7528\u591a\u6a21\u6001\u5927\u6a21\u578b\u63d0\u53d6\u4efb\u610f\u6587\u6863\u5185\u8868\u683c\u4e3ahtml\u683c\u5f0f\u6587\u4ef6\u63d2\u56fe1\" \/> <\/p>\n<p> <\/p>\n<p>&nbsp;<\/p>\n<p><strong>\u539f\u6587<\/strong><\/p>\n<pre>You are tasked with recognizing and extracting the contents of a table from an image, and then recreating the table's original structure using HTML tags. This task requires careful attention to detail and accurate reproduction of the table's layout.\r\n\nCarefully analyze the image and identify the structure of the table, including the number of  and columns, any merged cells, and the content of each cell.\r\n\nGuidelines for extracting table content:\r\n1. Identify all text within the table cells\r\n2. Note any special formatting (e.g., bold text, different font sizes)\r\n3. Pay attention to cell merging (both horizontal and vertical)\r\n4. Observe any header rows or columns\r\n\nUse the following HTML tags to recreate the table structure:\r\n- &lt;table&gt; for the overall table\r\n- &lt;tr&gt; for table rows\r\n- &lt;th&gt; for header cells\r\n- &lt;td&gt; for regular data cells\r\n- Use the colspan attribute for cells that span multiple columns\r\n- Use the rowspan attribute for cells that span multiple rows\r\n\nOutput the recreated table structure within a code block, using the ```html notation at the beginning and ``` at the end. Your output should look similar to this:\r\n\n```html\r\n&lt;table&gt;\r\n&lt;tr&gt;\r\n&lt;th&gt;Header 1&lt;\/th&gt;\r\n&lt;th&gt;Header 2&lt;\/th&gt;\r\n&lt;\/tr&gt;\r\n&lt;tr&gt;\r\n&lt;td&gt;Data 1&lt;\/td&gt;\r\n&lt;td&gt;Data 2&lt;\/td&gt;\r\n&lt;\/tr&gt;\r\n&lt;\/table&gt;\r\n```\r\n\nEnsure that you maintain the original structure of the table, including any merged cells or special formatting. Be as accurate and complete as possible in your recreation.\r\n\nAfter recreating the table, perform a final check to ensure that all content has been accurately extracted and that the HTML structure correctly represents the original table layout.\r\n\nRemember: You should ignore graphic information. You can't output Base64.\r\n\nBegin your analysis and recreation of the table now.<\/pre>\n<p>&nbsp;<\/p>\n<p><strong>\u8bd1\u6587<\/strong><\/p>\n<pre>\u4f60\u9700\u8981\u8bc6\u522b\u5e76\u63d0\u53d6\u56fe\u50cf\u4e2d\u8868\u683c\u7684\u5185\u5bb9\uff0c\u7136\u540e\u4f7f\u7528 HTML \u6807\u7b7e\u91cd\u65b0\u521b\u5efa\u8868\u683c\u7684\u539f\u59cb\u7ed3\u6784\u3002\u6b64\u4efb\u52a1\u9700\u8981\u4ed4\u7ec6\u5173\u6ce8\u7ec6\u8282\u5e76\u51c6\u786e\u91cd\u73b0\u8868\u683c\u7684\u5e03\u5c40\u3002\r\n\n\u4ed4\u7ec6\u5206\u6790\u56fe\u50cf\u5e76\u8bc6\u522b\u8868\u683c\u7684\u7ed3\u6784\uff0c\u5305\u62ec\u884c\u6570\u548c\u5217\u6570\u3001\u4efb\u4f55\u5408\u5e76\u7684\u5355\u5143\u683c\u4ee5\u53ca\u6bcf\u4e2a\u5355\u5143\u683c\u7684\u5185\u5bb9\u3002\r\n\n\u63d0\u53d6\u8868\u683c\u5185\u5bb9\u7684\u6307\u5bfc\u539f\u5219\uff1a\r\n1. \u8bc6\u522b\u6240\u6709\u8868\u683c\u5355\u5143\u683c\u4e2d\u7684\u6587\u672c\u3002\r\n2. \u6ce8\u610f\u4efb\u4f55\u7279\u6b8a\u683c\u5f0f\uff08\u4f8b\u5982\uff0c\u52a0\u7c97\u6587\u672c\u3001\u4e0d\u540c\u6bd4\u4f8b\u7684\u5b57\u4f53\uff09\u3002\r\n3. \u5173\u6ce8\u5355\u5143\u683c\u7684\u5408\u5e76\u60c5\u51b5\uff08\u5305\u62ec\u6c34\u5e73\u548c\u5782\u76f4\u5408\u5e76\uff09\u3002\r\n4. \u89c2\u5bdf\u662f\u5426\u6709\u6807\u9898\u884c\u6216\u6807\u9898\u5217\u3002\r\n\n\u4f7f\u7528\u4ee5\u4e0b HTML \u6807\u7b7e\u6765\u91cd\u5efa\u8868\u683c\u7ed3\u6784\uff1a\r\n- \u4f7f\u7528 &lt;table&gt; \u8868\u793a\u6574\u4e2a\u8868\u683c\u3002\r\n- \u4f7f\u7528 &lt;tr&gt; \u8868\u793a\u8868\u683c\u884c\u3002\r\n- \u4f7f\u7528 &lt;th&gt; \u8868\u793a\u6807\u9898\u5355\u5143\u683c\u3002\r\n- \u4f7f\u7528 &lt;td&gt; \u8868\u793a\u666e\u901a\u6570\u636e\u5355\u5143\u683c\u3002\r\n- \u5bf9\u4e8e\u8de8\u591a\u5217\u7684\u5355\u5143\u683c\uff0c\u4f7f\u7528 colspan \u5c5e\u6027\u3002\r\n- \u5bf9\u4e8e\u8de8\u591a\u884c\u7684\u5355\u5143\u683c\uff0c\u4f7f\u7528 rowspan \u5c5e\u6027\u3002\r\n\n\u5728\u4ee3\u7801\u5757\u4e2d\u8f93\u51fa\u91cd\u5efa\u7684\u8868\u683c\u7ed3\u6784\uff0c\u4ee3\u7801\u5757\u5f00\u5934\u4f7f\u7528 ```html \u6807\u6ce8\uff0c\u7ed3\u5c3e\u4f7f\u7528 ``` \u5173\u95ed\u3002\u8f93\u51fa\u683c\u5f0f\u5e94\u7c7b\u4f3c\u4e8e\u4ee5\u4e0b\u5185\u5bb9\uff1a\r\n\n```html\r\n&lt;table&gt;\r\n&lt;tr&gt;\r\n&lt;th&gt;Header 1&lt;\/th&gt;\r\n&lt;th&gt;Header 2&lt;\/th&gt;\r\n&lt;\/tr&gt;\r\n&lt;tr&gt;\r\n&lt;td&gt;Data 1&lt;\/td&gt;\r\n&lt;td&gt;Data 2&lt;\/td&gt;\r\n&lt;\/tr&gt;\r\n&lt;\/table&gt;\r\n```\r\n\n\u786e\u4fdd\u4f60\u4fdd\u7559\u8868\u683c\u7684\u539f\u59cb\u7ed3\u6784\uff0c\u5305\u62ec\u4efb\u4f55\u5408\u5e76\u5355\u5143\u683c\u6216\u7279\u6b8a\u683c\u5f0f\u3002\u5c3d\u53ef\u80fd\u51c6\u786e\u548c\u5b8c\u6574\u5730\u8fdb\u884c\u91cd\u5efa\u3002\r\n\n\u5728\u91cd\u5efa\u8868\u683c\u4e4b\u540e\uff0c\u8fdb\u884c\u6700\u7ec8\u68c0\u67e5\u4ee5\u786e\u4fdd\u6240\u6709\u5185\u5bb9\u90fd\u5df2\u51c6\u786e\u63d0\u53d6\uff0c\u4e14 HTML \u7ed3\u6784\u80fd\u591f\u6b63\u786e\u8868\u793a\u539f\u59cb\u8868\u683c\u5e03\u5c40\u3002\r\n\n\u6ce8\u610f\uff1a\u8bf7\u5ffd\u7565\u56fe\u5f62\u4fe1\u606f\u3002\u4e0d\u8981\u8f93\u51fa Base64\u3002\r\n\n\u73b0\u5728\u5f00\u59cb\u5206\u6790\u548c\u91cd\u5efa\u8868\u683c\u3002<\/pre>\n<p>&nbsp;<\/p>\n<p><strong>\u6ce8\u610f\u4e8b\u9879<\/strong><\/p>\n<p>\u63d0\u793a\u8bcd\u4e2d\u5220\u9664\u53e5\u5b50\uff1a&nbsp;<code>Remember: You should ignore graphic information. You can't output Base64.<\/code> \uff0c\u5927\u6a21\u578b\u6709\u6982\u7387\u4f1a\u590d\u539f\u56fe\u7247\u4e2d\u6240\u6709\u4fe1\u606f\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u4ec5\u63d0\u53d6\u6587\u6863\u5185\u8868\u683c\u4e3ahtml\u683c\u5f0f\u6587\u4ef6\uff0c\u6587\u6863\u5185\u591a\u8868\u683c\u3001\u7ffb\u9875\u8868\u683c\u5747\u53ef\u6b63\u786e\u63d0\u53d6\uff0c\u76ee\u524d\u9002\u914dgemini-2.0-flash-exp\u6548\u679c\u8f83\u597d\u3002 &nbsp; \u539f\u6587 You are tasked with recognizing and extracting the contents of a table from an image, and then recreating the table&#8217;s original structure using HTML tags. This task requires careful attention to detail and accurate reproduction of the table&#8217;s layout. Carefully analyze the image and identify the structure of the table, including the [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[13],"tags":[],"class_list":["post-55759","post","type-post","status-publish","format-standard","hentry","category-ai"],"_links":{"self":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts\/55759","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/comments?post=55759"}],"version-history":[{"count":0,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts\/55759\/revisions"}],"wp:attachment":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/media?parent=55759"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/categories?post=55759"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/tags?post=55759"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}