{"id":29943,"date":"2025-04-06T07:14:17","date_gmt":"2025-04-05T23:14:17","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=29943"},"modified":"2025-06-11T04:17:27","modified_gmt":"2025-06-10T20:17:27","slug":"babeldoc","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/pt\/babeldoc\/","title":{"rendered":"BabelDOC"},"content":{"rendered":"<p>BabelDOC \u662f\u4e00\u4e2a\u5f00\u6e90\u5de5\u5177\uff0c\u4e13\u95e8\u7528\u6765\u628a PDF \u6587\u6863\u7ffb\u8bd1\u6210\u53cc\u8bed\u5bf9\u7167\u683c\u5f0f\u3002\u5b83\u7531 funstory-ai \u56e2\u961f\u5f00\u53d1\uff0c\u6258\u7ba1\u5728 GitHub \u4e0a\uff0c\u4e3b\u8981\u670d\u52a1\u4e8e\u9700\u8981\u5904\u7406\u5916\u8bed\u6587\u6863\u7684\u7528\u6237\uff0c\u6bd4\u5982\u7814\u7a76\u4eba\u5458\u3001\u5b66\u751f\u548c\u6280\u672f\u4eba\u5458\u3002BabelDOC \u652f\u6301\u5c06\u82f1\u6587 PDF \u7ffb\u8bd1\u6210\u4e2d\u6587\uff0c\u4fdd\u7559\u539f\u6587\u6392\u7248\uff0c\u5305\u62ec\u6570\u5b66\u516c\u5f0f\u548c\u8868\u683c\u3002\u7528\u6237\u53ef\u4ee5\u901a\u8fc7\u5728\u7ebf\u670d\u52a1\u3001\u547d\u4ee4\u884c\u5de5\u5177\uff08CLI\uff09\u6216 Python API \u4f7f\u7528\u5b83\u3002\u5728\u7ebf\u670d\u52a1\u7531 <a href=\"https:\/\/www.kdjingpai.com\/en\/chenjinshifanyichaba\/\">Immersive Translate<\/a> \u63d0\u4f9b\uff0c\u6bcf\u6708\u514d\u8d39 1000 \u9875\uff1b\u81ea\u90e8\u7f72\u5219\u53ef\u901a\u8fc7\u6e90\u7801\u6216 <a href=\"https:\/\/www.kdjingpai.com\/en\/pdfmathtranslate\/\">PDFMathTranslate<\/a> \u9879\u76ee\u5b9e\u73b0\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-29945\" title=\"BabelDOC\uff1a\u5c06PDF\u6587\u6863\u7ffb\u8bd1\u6210\u53cc\u8bed\u5bf9\u7167\u7684\u5f00\u6e90\u5de5\u5177-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/04\/69af443451de4b9.png\" alt=\"BabelDOC\uff1a\u5c06PDF\u6587\u6863\u7ffb\u8bd1\u6210\u53cc\u8bed\u5bf9\u7167\u7684\u5f00\u6e90\u5de5\u5177-1\" width=\"872\" height=\"520\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/04\/69af443451de4b9.png 1085w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/04\/69af443451de4b9-768x458.png 768w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/04\/69af443451de4b9-18x12.png 18w\" sizes=\"auto, (max-width: 872px) 100vw, 872px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li>\u5c06 PDF \u6587\u4ef6\u7ffb\u8bd1\u6210\u53cc\u8bed\u5bf9\u7167\u683c\u5f0f\uff0c\u539f\u6587\u548c\u8bd1\u6587\u5e76\u6392\u663e\u793a\u3002<\/li>\n<li>\u4fdd\u7559\u539f\u6587\u6392\u7248\uff0c\u652f\u6301\u6570\u5b66\u516c\u5f0f\u3001\u8868\u683c\u548c\u56fe\u7247\u7684\u6b63\u786e\u5448\u73b0\u3002<\/li>\n<li>\u63d0\u4f9b\u547d\u4ee4\u884c\u5de5\u5177\uff08CLI\uff09\uff0c\u652f\u6301\u6279\u91cf\u7ffb\u8bd1\u591a\u4e2a\u6587\u4ef6\u3002<\/li>\n<li>\u63d0\u4f9b Python API\uff0c\u65b9\u4fbf\u5f00\u53d1\u8005\u5d4c\u5165\u5230\u5176\u4ed6\u7a0b\u5e8f\u4e2d\u3002<\/li>\n<li>\u652f\u6301\u5728\u7ebf\u670d\u52a1\uff0c\u6bcf\u6708\u514d\u8d39\u7ffb\u8bd1 1000 \u9875\u3002<\/li>\n<li>\u652f\u6301\u81ea\u90e8\u7f72\uff0c\u53ef\u9009\u62e9\u672c\u5730\u8fd0\u884c\u6216\u7ed3\u5408 PDFMathTranslate \u4f7f\u7528\u66f4\u591a\u7ffb\u8bd1\u670d\u52a1\u3002<\/li>\n<li>\u53ef\u914d\u7f6e\u591a\u79cd\u7ffb\u8bd1\u5f15\u64ce\uff0c\u5982 OpenAI\u3001Bing \u7b49\u3002<\/li>\n<li>\u63d0\u4f9b\u79bb\u7ebf\u8d44\u6e90\u5305\u7ba1\u7406\uff0c\u9002\u5408\u65e0\u7f51\u7edc\u73af\u5883\u4f7f\u7528\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<p>BabelDOC \u7684\u4f7f\u7528\u65b9\u5f0f\u591a\u6837\uff0c\u5305\u62ec\u5728\u7ebf\u670d\u52a1\u548c\u672c\u5730\u90e8\u7f72\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u7684\u64cd\u4f5c\u6307\u5357\uff0c\u5e2e\u52a9\u4f60\u5feb\u901f\u4e0a\u624b\u3002<\/p>\n<h3>\u5728\u7ebf\u670d\u52a1\u4f7f\u7528<\/h3>\n<ol>\n<li><strong>\u8bbf\u95ee\u5728\u7ebf\u670d\u52a1<\/strong><br \/>\n\u6253\u5f00\u00a0<a href=\"https:\/\/app.immersivetranslate.com\/babel-doc\/\">Immersive Translate &#8211; BabelDOC<\/a>\uff0c\u8fd9\u662f\u4e00\u4e2a Beta \u7248\u670d\u52a1\u3002<\/li>\n<li><strong>\u4e0a\u4f20\u6587\u4ef6<\/strong><br \/>\n\u70b9\u51fb\u4e0a\u4f20\u6309\u94ae\uff0c\u9009\u62e9\u9700\u8981\u7ffb\u8bd1\u7684 PDF \u6587\u4ef6\u3002\u6587\u4ef6\u5927\u5c0f\u548c\u9875\u6570\u9700\u5728\u514d\u8d39\u989d\u5ea6\uff081000 \u9875\/\u6708\uff09\u5185\u3002<\/li>\n<li><strong>\u9009\u62e9\u8bed\u8a00<\/strong><br \/>\n\u9ed8\u8ba4\u652f\u6301\u82f1\u6587\u5230\u4e2d\u6587\u7ffb\u8bd1\u3002\u4e0a\u4f20\u540e\uff0c\u7cfb\u7edf\u4f1a\u81ea\u52a8\u5904\u7406\u5e76\u751f\u6210\u53cc\u8bed\u5bf9\u7167 PDF\u3002<\/li>\n<li><strong>\u4e0b\u8f7d\u7ed3\u679c<\/strong><br \/>\n\u7ffb\u8bd1\u5b8c\u6210\u540e\uff0c\u70b9\u51fb\u4e0b\u8f7d\u6309\u94ae\u83b7\u53d6\u7ffb\u8bd1\u540e\u7684\u6587\u4ef6\u3002\u7ed3\u679c\u4f1a\u4fdd\u7559\u539f\u6587\u548c\u8bd1\u6587\u5e76\u6392\u663e\u793a\u3002<\/li>\n<\/ol>\n<h3>\u672c\u5730\u5b89\u88c5\u6d41\u7a0b<\/h3>\n<p>BabelDOC \u652f\u6301\u4ece PyPI \u5b89\u88c5\u6216\u6e90\u7801\u5b89\u88c5\uff0c\u63a8\u8350\u4f7f\u7528\u00a0<code>uv<\/code>\u00a0\u7ba1\u7406\u73af\u5883\u3002<\/p>\n<h4>\u4ece PyPI \u5b89\u88c5<\/h4>\n<ol>\n<li><strong>\u5b89\u88c5 Python \u548c uv<\/strong><br \/>\n\u786e\u4fdd\u7cfb\u7edf\u6709 Python 3.12 \u6216\u66f4\u9ad8\u7248\u672c\u3002\u4e0b\u8f7d\u5b89\u88c5\u00a0uv\uff0c\u5e76\u914d\u7f6e\u73af\u5883\u53d8\u91cf\u3002<\/li>\n<li><strong>\u5b89\u88c5 BabelDOC<\/strong><br \/>\n\u5728\u7ec8\u7aef\u8fd0\u884c\uff1a<\/li>\n<\/ol>\n<pre><code>uv tool install --python 3.12 BabelDOC\r\n<\/code><\/pre>\n<ol start=\"3\">\n<li><strong>\u9a8c\u8bc1\u5b89\u88c5<\/strong><br \/>\n\u8f93\u5165\uff1a<\/li>\n<\/ol>\n<pre><code>babeldoc --help\r\n<\/code><\/pre>\n<p>\u5982\u679c\u663e\u793a\u5e2e\u52a9\u4fe1\u606f\uff0c\u8bf4\u660e\u5b89\u88c5\u6210\u529f\u3002<\/p>\n<h4>\u4ece\u6e90\u7801\u5b89\u88c5<\/h4>\n<ol>\n<li><strong>\u514b\u9686\u9879\u76ee<\/strong><br \/>\n\u5728\u7ec8\u7aef\u8fd0\u884c\uff1a<\/li>\n<\/ol>\n<pre><code>git clone https:\/\/github.com\/funstory-ai\/BabelDOC\r\ncd BabelDOC\r\n<\/code><\/pre>\n<ol start=\"2\">\n<li><strong>\u5b89\u88c5\u4f9d\u8d56<\/strong><br \/>\n\u4f7f\u7528\u00a0<code>uv<\/code>\u00a0\u5b89\u88c5\u4f9d\u8d56\uff1a<\/li>\n<\/ol>\n<pre><code>uv run pip install -r requirements.txt\r\n<\/code><\/pre>\n<ol start=\"3\">\n<li><strong>\u9a8c\u8bc1\u5b89\u88c5<\/strong><br \/>\n\u8fd0\u884c\uff1a<\/li>\n<\/ol>\n<pre><code>uv run babeldoc --help\r\n<\/code><\/pre>\n<p>\u770b\u5230\u5e2e\u52a9\u4fe1\u606f\u5373\u8868\u793a\u6210\u529f\u3002<\/p>\n<h4>\u79bb\u7ebf\u8d44\u6e90\u914d\u7f6e<\/h4>\n<p>\u5982\u679c\u9700\u8981\u79bb\u7ebf\u4f7f\u7528\uff0c\u53ef\u4ee5\u7ba1\u7406\u8d44\u6e90\u5305\uff1a<\/p>\n<ol>\n<li><strong>\u751f\u6210\u8d44\u6e90\u5305<\/strong><\/li>\n<\/ol>\n<pre><code>babeldoc --generate-offline-assets \/path\/to\/output\/dir\r\n<\/code><\/pre>\n<p>\u751f\u6210\u7684 zip \u6587\u4ef6\u5305\u542b\u5b57\u4f53\u548c\u6a21\u578b\u3002<br \/>\n2.\u00a0<strong>\u6062\u590d\u8d44\u6e90\u5305<\/strong><\/p>\n<pre><code>babeldoc --restore-offline-assets \/path\/to\/offline_assets_package.zip\r\n<\/code><\/pre>\n<p>\u8d44\u6e90\u4f1a\u89e3\u538b\u5230\u9ed8\u8ba4\u8def\u5f84\u00a0<code>~\/.cache\/babeldoc\/assets\/<\/code>\u3002<\/p>\n<h3>\u672c\u5730\u4f7f\u7528\u65b9\u6cd5<\/h3>\n<h4>\u547d\u4ee4\u884c\u4f7f\u7528<\/h4>\n<ol>\n<li><strong>\u7ffb\u8bd1\u5355\u4e2a\u6587\u4ef6<\/strong><br \/>\n\u5047\u8bbe\u6709\u4e00\u4e2a\u6587\u4ef6\u00a0<code>example.pdf<\/code>\uff0c\u7528 OpenAI \u7ffb\u8bd1\uff1a<\/li>\n<\/ol>\n<pre><code>babeldoc --files example.pdf --openai --openai-model \"gpt-4o-mini\" --openai-api-key \"\u4f60\u7684API\u5bc6\u94a5\"\r\n<\/code><\/pre>\n<p>\u8f93\u51fa\u6587\u4ef6\u4f1a\u81ea\u52a8\u751f\u6210\uff0c\u5982\u00a0<code>example_translated.pdf<\/code>\u3002<br \/>\n2.\u00a0<strong>\u7ffb\u8bd1\u591a\u4e2a\u6587\u4ef6<\/strong><br \/>\n\u5904\u7406\u591a\u4e2a\u6587\u4ef6\uff1a<\/p>\n<pre><code>babeldoc --files example1.pdf --files example2.pdf --bing\r\n<\/code><\/pre>\n<ol start=\"3\">\n<li><strong>\u6307\u5b9a\u9875\u9762<\/strong><br \/>\n\u53ea\u7ffb\u8bd1\u7b2c 1\u30013-5 \u9875\uff1a<\/li>\n<\/ol>\n<pre><code>babeldoc --files example.pdf --pages \"1,3-5\" --openai --openai-api-key \"\u4f60\u7684API\u5bc6\u94a5\"\r\n<\/code><\/pre>\n<ol start=\"4\">\n<li><strong>\u8c03\u6574\u8bed\u8a00<\/strong><br \/>\n\u9ed8\u8ba4\u82f1\u8bd1\u4e2d\uff0c\u82e5\u9700\u5176\u4ed6\u8bed\u8a00\uff1a<\/li>\n<\/ol>\n<pre><code>babeldoc --files example.pdf --lang-in \"en\" --lang-out \"fr\" --openai --openai-api-key \"\u4f60\u7684API\u5bc6\u94a5\"\r\n<\/code><\/pre>\n<h4>Python API \u4f7f\u7528<\/h4>\n<ol>\n<li><strong>\u57fa\u672c\u7ffb\u8bd1<\/strong><br \/>\n\u521b\u5efa\u6587\u4ef6\u00a0<code>translate.py<\/code>\uff1a<\/li>\n<\/ol>\n<pre><code>from babeldoc.main import TranslationConfig, translate_document\r\nconfig = TranslationConfig(\r\nfiles=[\"example.pdf\"],\r\nlang_in=\"en\",\r\nlang_out=\"zh\",\r\ntranslator=\"openai\",\r\nopenai_api_key=\"\u4f60\u7684API\u5bc6\u94a5\",\r\nopenai_model=\"gpt-4o-mini\"\r\n)\r\ntranslate_document(config)\r\n<\/code><\/pre>\n<p>\u8fd0\u884c\u00a0<code>python translate.py<\/code>\u00a0\u5373\u53ef\u7ffb\u8bd1\u3002<br \/>\n2.\u00a0<strong>\u79bb\u7ebf\u8d44\u6e90\u7ba1\u7406<\/strong><\/p>\n<pre><code>from pathlib import Path\r\nfrom babeldoc.assets.assets import generate_offline_assets_package, restore_offline_assets_package\r\n# \u751f\u6210\u8d44\u6e90\u5305\r\ngenerate_offline_assets_package(Path(\"\/path\/to\/output\/dir\"))\r\n# \u6062\u590d\u8d44\u6e90\u5305\r\nrestore_offline_assets_package(Path(\"\/path\/to\/offline_assets_package.zip\"))\r\n<\/code><\/pre>\n<h3>\u7279\u8272\u529f\u80fd\u64cd\u4f5c<\/h3>\n<ol>\n<li><strong>\u53cc\u8bed\u5bf9\u7167<\/strong><br \/>\n\u7ffb\u8bd1\u540e\u7684 PDF \u4f1a\u5c06\u539f\u6587\u548c\u8bd1\u6587\u5e76\u6392\u653e\u7f6e\u3002\u6bd4\u5982\u82f1\u6587\u5728\u5de6\uff0c\u4e2d\u6587\u5728\u53f3\uff0c\u65b9\u4fbf\u5bf9\u6bd4\u3002\u516c\u5f0f\u5982\u00a0<code>E=mc^2<\/code>\u00a0\u4f1a\u4fdd\u7559\u539f\u6587\uff0c\u65c1\u8fb9\u52a0\u8bd1\u6587\u8bf4\u660e\u3002<\/li>\n<li><strong>\u590d\u6742\u6587\u6863\u652f\u6301<\/strong><br \/>\n\u652f\u6301\u6570\u5b66\u516c\u5f0f\u548c\u8868\u683c\u7684\u8bc6\u522b\u4e0e\u4fdd\u7559\u3002\u7ffb\u8bd1\u65f6\u4e0d\u4f1a\u7834\u574f\u539f\u59cb\u7ed3\u6784\u3002<\/li>\n<li><strong>\u7075\u6d3b\u90e8\u7f72<\/strong><br \/>\n\u5728\u7ebf\u670d\u52a1\u7b80\u5355\u5feb\u6377\uff0c\u81ea\u90e8\u7f72\u652f\u6301\u66f4\u591a\u81ea\u5b9a\u4e49\u9009\u9879\uff0c\u5982\u7ffb\u8bd1\u5f15\u64ce\u9009\u62e9\u3002<\/li>\n<\/ol>\n<h3>\u81ea\u90e8\u7f72\u589e\u5f3a<\/h3>\n<p>\u5982\u679c\u9700\u8981\u66f4\u591a\u529f\u80fd\uff0c\u53ef\u4ee5\u4f7f\u7528\u00a0PDFMathTranslate\uff1a<\/p>\n<ol>\n<li><strong>\u5b89\u88c5 PDFMathTranslate<\/strong><br \/>\n\u6309\u7167\u5176 GitHub \u8bf4\u660e\u5b89\u88c5\uff0c\u652f\u6301 WebUI \u548c\u66f4\u591a\u7ffb\u8bd1\u670d\u52a1\u3002<\/li>\n<li><strong>\u7ed3\u5408 BabelDOC<\/strong><br \/>\nPDFMathTranslate 1.9.3+ \u7248\u672c\u5b9e\u9a8c\u6027\u652f\u6301 BabelDOC\uff0c\u53ef\u589e\u5f3a\u7ffb\u8bd1\u80fd\u529b\u3002<\/li>\n<\/ol>\n<h3>\u6ce8\u610f\u4e8b\u9879<\/h3>\n<ul>\n<li>\u5728\u7ebf\u670d\u52a1\u6bcf\u6708\u514d\u8d39 1000 \u9875\uff0c\u8d85\u51fa\u9700\u4ed8\u8d39\u3002<\/li>\n<li>\u672c\u5730\u90e8\u7f72\u9700\u914d\u7f6e API \u5bc6\u94a5\uff0c\u5982 OpenAI \u5bc6\u94a5\u53ef\u4ece\u00a0OpenAI \u5b98\u7f51\u00a0\u83b7\u53d6\u3002<\/li>\n<li>\u5f53\u524d\u4e3b\u8981\u4f18\u5316\u82f1\u8bd1\u4e2d\uff0c\u5176\u4ed6\u8bed\u8a00\u652f\u6301\u6709\u9650\u3002<\/li>\n<li>\u5927\u6587\u4ef6\u5efa\u8bae\u7528\u00a0<code>--max-pages-per-part<\/code>\u00a0\u5206\u6bb5\u5904\u7406\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u5e94\u7528\u573a\u666f<\/h2>\n<ol>\n<li><strong>\u5b66\u672f\u7814\u7a76<\/strong><br \/>\n\u7814\u7a76\u4eba\u5458\u62ff\u5230\u82f1\u6587\u8bba\u6587\uff0c\u7528 BabelDOC \u7ffb\u8bd1\u6210\u53cc\u8bed\u5bf9\u7167\u7248\uff0c\u65b9\u4fbf\u9605\u8bfb\u548c\u7406\u89e3\u3002<\/li>\n<li><strong>\u6280\u672f\u6587\u6863\u7ffb\u8bd1<\/strong><br \/>\n\u5f00\u53d1\u8005\u7ffb\u8bd1\u82f1\u6587\u6280\u672f\u624b\u518c\uff0c\u4fdd\u7559\u4ee3\u7801\u548c\u56fe\u8868\uff0c\u76f4\u63a5\u7528\u4e8e\u5de5\u4f5c\u3002<\/li>\n<li><strong>\u6559\u80b2\u5b66\u4e60<\/strong><br 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