Parsing Incoming Emails into Structured JSON with Node and AI

Email is still one of the most common “integration APIs” in business and that's why I made https://www.parseforce.io

Invoices. Shipping notices. Order confirmations. Supplier updates.

And in many cases… email is the only integration point you get.

The problem?

Emails are messy.

• Layout changes
• Forwarded threads
• HTML formatting
• Different senders, different structures
• Slight wording tweaks that break everything

Yet inside those emails is structured data you actually need.

---

The Regex Trap

Most teams start with regex or template-based parsing.

It works at first:

const match = emailBody.match(/Total:\s*\$([0-9,\.]+)/);

Then one day:

“Total” becomes “Amount Due”

The currency moves

The supplier updates their template

Someone forwards the email

And your parser breaks.

You’re now maintaining parsing logic instead of building product.

A Different Approach

Instead of matching patterns, define the schema you want:

{
  "invoiceNumber": "string",
  "items": [],
  "total": "number",
  "currency": "string"
}

Then extract structured JSON that conforms to that schema.

Your workflow becomes:

Incoming email
↓
Extract structured data
↓
Validate
↓
Send to webhook

Now your backend only deals with clean JSON.

Making Email Feel Like Webhooks

The goal is simple:

Turn this:

email → chaos

Into this:

email → structured JSON → webhook

So your systems can treat email like any other API input.

A Practical Note

If you go this route:

Always store raw emails

Validate extracted fields

Handle low-confidence cases

Expect edge cases

Email isn’t going away.
But it doesn’t have to be painful.
More details about the tool.