{"version":"1.0","generated_at":"2026-10-29T13:08:51.539148","id":3679,"slug":"openrouter-llm-pdf","title":"OpenRouter 教程：用 LLM 从 PDF 中抽取表格","summary":"OpenRouter 教程：用 LLM 从 PDF 中抽取表格：这条内容来自 AIHOT 补充信号池，核心焦点是讨论数据集与基础模型。为什么值得看：它已经被上游系统筛过一轮，适合继续判断能否转化成 OPC 的选题、案例或工作流启发。","abstract":"OpenRouter 教程：用 LLM 从 PDF 中抽取表格 OpenRouter 教程：用 LLM 从 PDF 中抽取表格：这条内容来自 AIHOT 补充信号池，核心焦点是讨论数据集与基础模型。为什么值得看：它已经被上游系统筛过一轮，适合继续判断能否转化成 OPC 的选题、案例或工作流启发。 OpenRouter 教程：用 LLM 从 PDF 中抽取表格：这条内容来自 AIHOT 补充信号池，核心焦点是讨论数据集与基础模型。为什么值得看：它已经被上游系统筛过一轮，适合继续判断能否转化成 OPC 的选题、案例或工作流启发。 原贴提到：OpenRouter 发布教程，讲解如何把 PDF 以文件形式连同严格 JSON schema 发给能读文件的模型，让表格以带类型的行返回，括号 关键词：AI、AIHOT 精选 来源：AIHOT 精选 openrouter 发布教程，讲解如何把 pdf 以文件形式连同严格 json schema 发给能读文件的模型，让表格以带类型的行返回，括号亏损、千分位和脚注标记等清理都写进字段描述。 aihot 分类：tip aihot 推荐理由：openrouter 用五份 pdf 实测了多条抽取路由，给出严格 json schema 写法、两类静默失败的检查和各路由成本对比。 这条内容的真正价值，不只是“有人发布了一个新功能”，而是它揭示了 AIHOT 精选 背后的产品方向、工作流变化或竞争信号。对 OPC 来说，这种信息可以转化成持续追踪的栏目选题。 如果把《OpenRouter 教程：用 LLM 从 PDF 中抽取表格》放到你的内容系统里，它最大的…","access_level":"public","access_label":"公开","access_mode":"full","is_preview":false,"canonical_url":"https://opc.beizhux.com/content/3679/openrouter-llm-pdf","html_url":"https://opc.beizhux.com/content/3679/openrouter-llm-pdf","json_url":"https://opc.beizhux.com/content/3679/openrouter-llm-pdf.json","published_at":"2026-10-29T08:00:00","updated_at":"2026-10-29T12:37:09","category":{"slug":"hotspots","name":"全球热点解读"},"source":{"site":"openrouter.ai","author":"OpenRouter：Announcements（RSS）","url":"https://openrouter.ai/blog/tutorials/extract-tables-from-pdf-llm/"},"tags":["AI","AIHOT 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