使用 Node 和 AI 将来邮件解析为结构化 JSON

📄 中文摘要

电子邮件仍然是商业中最常见的“集成 API”之一,因此开发了 ParseForce。发票、运输通知、订单确认和供应商更新等信息通常通过电子邮件传递。然而,电子邮件的结构往往混乱,存在布局变化、转发线程、HTML 格式、不同发件人和轻微措辞变化等问题。这些因素使得从电子邮件中提取结构化数据变得困难。许多团队最初采用正则表达式或基于模板的解析方法,虽然在开始时有效,但随着邮件格式的变化,效果逐渐减弱。

📄 English Summary

Parsing Incoming Emails into Structured JSON with Node and AI

Email remains one of the most common 'integration APIs' in business, leading to the creation of ParseForce. Invoices, shipping notices, order confirmations, and supplier updates are often communicated via email. However, the structure of emails can be messy, with issues such as layout changes, forwarded threads, HTML formatting, varying sender structures, and slight wording tweaks complicating data extraction. Many teams initially rely on regex or template-based parsing, which may work at first but becomes less effective as email formats evolve.

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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等