Dify 文件通用提取文字工作流分享

在配置 dify 工作流的时候有一种场景就是需要解析用户上传的文件内容，比如询问用户必要关键信息的时候，用户可以通过上传图片或者 word、pdf 文件等，方便用户去手动输入的步骤，那么我们可以通用抽象出一个工作流，当接收到是文件类型的时候先进行文字提取放入对话上下文，模拟用户输入的是文字，然后交给大模型去做后续操作准确率很高。

思路

本文只分享思路，你可以根据自己的场景进行扩展更多的方式。

如果是图片类型，那么可以直接使用大模型进行提取内容，如果你的大模型不支持多模态，那么你可以直接对接第三方 OCR 识别进行图片识别也是一样的效果。

如果是其他类型，比如 word、pdf、markdown 等文件，那么我们可以直接使用 dify 的自带节点组件（文档提取器）

如果还有音频类型，那么你可以直接使用 asr 实现转成文字，下面给一个 DSL 导入即可使用。

基于 dify 1.7.1版本的 DSL，导入选择支持视觉的模型即可使用，提取后输出的文档里的所有文档内容。

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升级版，并行支持图片和文档同时聚合提取。

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