About 'Is It Junk?'

Is It Junk? is a small, free tool that helps you quickly decide whether an email is suspicious, misleading, or potentially malicious.

Instead of copying and pasting an email into an AI chat, you simply forward it. The system analyzes the message and replies with a clear answer: whether it looks like junk, and why.

No accounts.
No dashboards.
No setup.

Why it exists

Many emails don’t look obviously dangerous — they just feel off.

They might reference a payment, a delivery, or an account issue, but nothing is clearly wrong at first glance. Copying sensitive emails into an AI tool isn’t always comfortable or convenient.

Is It Junk? exists to remove that friction.

Forward the email.
Get a second opinion.
Move on.

What it does (and doesn’t do)

Is It Junk? is:

  • A quick AI-powered email check

  • A convenience tool

  • A second opinion when something doesn’t feel right

Is It Junk? is not:

  • A replacement for enterprise email security

  • A guarantee against all threats

  • A long-term email storage service

Think of it as a lightweight safety check — not a firewall.

Privacy & handling

Privacy is a core design goal.

  • Emails are processed only to provide a response

  • Messages are not used to build user profiles

  • Content is not stored long-term

  • Emails are not used to train AI models

  • Each message is analyzed independently

Like most cloud-based services, limited short-term logging may occur for reliability and abuse prevention — but the service is intentionally minimal and avoids unnecessary data retention.

Who built it

Is It Junk? is built by Esau Engineering, an IT and engineering services company.

This tool exists because sometimes the simplest solutions are the most useful.

How it works

When you forward an email, it’s analyzed automatically using a combination of technical email signals and content patterns, such as:

  • Sender authentication and domain trust

  • Message routing and reputation indicators

  • Links, formatting, and common scam signals

The system focuses heavily on how the email was sent, not just what it says. You receive a short explanation along with a simple classification.

Built using n8n

View the code and deploy your own.