Email AI Checker
Check any email for AI-generated content with 99% accuracy. Detect whether ChatGPT, Copilot, Gemini, or another AI wrote a message, with clear sentence-level results.
How to Check Your Email for AI Content
Three simple steps to detect AI content in your Email.
Paste Your Text
Paste your text or upload a document. We support PDF, DOCX, and TXT formats for Email detection.
AI Analyzes for AI Patterns
Our multi-model detection engine analyzes every sentence for AI-generated writing patterns and statistical signatures.
Get Sentence-Level Results
Receive a detailed report with per-sentence confidence scores, highlighting exactly which portions are AI-generated.
Why Check Your Email for AI Content?
AI now drafts a large share of professional and outbound email, from sales outreach to customer support replies. Plagly.ai's Email AI Checker lets recruiters, sales teams, and individuals verify whether an email was written by a human or generated by ChatGPT, Microsoft Copilot, Gemini, or another model. Email is a difficult format for naive detectors because messages are short and follow conventional templates; our engine is calibrated to recognize genuinely AI-generated phrasing while leaving standard greetings, sign-offs, and boilerplate unflagged, holding the false-positive rate below 0.4%. Paste the email body for an instant, sentence-level analysis showing which lines carry AI patterns — useful for spotting automated outreach, vetting candidate communications, or confirming that your own AI-assisted draft sounds human.
Learn more about our technologyPlagly's engine is optimized for Email analysis, understanding the specific formatting and content patterns typical of this document type.
Key Features
Everything you need to detect AI in your Email with confidence.
Multi-Model Detection
Detects emails drafted with ChatGPT, Copilot, Gemini, Claude, and other AI assistants.
Template-Aware Calibration
Tuned to ignore standard greetings, sign-offs, and boilerplate so only genuinely AI-generated phrasing is flagged.
Sentence-Level Analysis
See exactly which lines of an email show AI patterns versus human writing.
Confidence Scores
Percentage-based confidence with a sub-0.4% false-positive rate for reliable results.
Privacy Protected
Email content is analyzed in real time and never stored or shared.
Free to Use
Run free email scans instantly with no registration.
How to Check Email Content for AI
What to watch for when checking email content for AI:
- Standard greetings and sign-offs wrapped around unusually polished body text.
- Overly complete, well-structured phrasing for a quick message.
- Generic, template-like content with no personal specifics.
- A consistent, formal tone that does not match a real relationship.
- Frictionless flow with no typos, shorthand, or human shortcuts.
With email, the real question is usually "is this a scam"
Someone checking an email rarely cares whether a colleague used a model to tidy their phrasing. What they actually want to know is whether the message is what it claims to be. Those are different questions, and only one of them is worth acting on.
The old advice about bad grammar is dead
For years the standard guidance was that phishing gives itself away through clumsy English. Language models removed that signal entirely. A fluent, well-punctuated, correctly-formatted message is now completely consistent with fraud, and treating polish as reassurance is actively dangerous.
Check the claims, not the prose
Does the sender address match the domain it claims? Does the request involve payment details, credentials or urgency? Would this person normally ask this way? Every one of these outranks any writing score, because they concern the message's provenance rather than its style.
Generated business email is unremarkable
Millions of people now draft routine correspondence with assistance, and email clients ship the feature. A high score on an internal update means very little and should not be treated as a finding about a colleague.
Where a score does help
Volume. Near-identical outreach sent to many recipients, review-style messages, or a sudden shift in how a known contact writes are patterns worth noticing — and those show up across messages rather than within one.
Use this as one input among several, and never as a way to judge a colleague's writing. If your concern is fraud, verify the request through a channel you already trust — that is the check that works whether or not a model was involved.
Frequently Asked Questions
Common questions about checking Emails for AI content.
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Start Checking Your Email Content Now — Free
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