Analyze email content for spam trigger words, formatting issues, and deliverability red flags. Score with improvement suggestions.
Paste a draft subject line and body, and this tool scans the copy for spam trigger words, all-caps runs, excessive punctuation, urgency phrasing, and common formatting problems, then returns a risk score with line-by-line suggestions for what to change. It runs entirely in the browser, so campaign copy never leaves the page. The surprise most users hit: the score measures word-level risk only. Real filtering decisions rest mostly on things a text scan cannot see - sender reputation, SPF/DKIM/DMARC authentication, engagement, and bounce history - so a green score is a starting point, not a delivery guarantee.
A concrete input and expected output from the current implementation.
Input
Subject: FREE MONEY!!! You've been selected for a limited time offer!!! Click here now to claim your 100% guaranteed cash bonus. Act now! Don't miss out!! Buy now while supplies last!!!
Expected output
High risk verdict. Flagged spam triggers: free, money, selected ('you've been selected'), limited time, click here, 100%, guaranteed, act now, don't miss out, buy now. Formatting flags: 'FREE MONEY' in all caps in the subject; 12 exclamation marks across the text. Suggestions: sentence-case the subject and keep one keyword; remove 'guaranteed' and '100%'; replace 'click here' with a descriptive link label; cut all but one call to action; drop the exclamation runs. Every flagged phrase appears verbatim in the pasted text, and the density of urgency, money, and guarantee language combined with all caps and exclamation runs is the classic trigger pattern, so the checker returns a high-risk verdict with each match itemized. The suggestions follow directly from the flags.
The pasted copy is matched against a list of words and phrases that historically correlate with junk mail - 'free', 'guaranteed', '100%', 'click here', 'act now', 'limited time' - along with formatting patterns such as all-caps runs, dollar amounts, and repeated exclamation marks. Every match is reported individually with its surrounding text, so you can see exactly which phrases are driving the score rather than guessing from a single total.
Each match contributes to the score, with aggressive patterns - all-caps subject lines, money language, stacked urgency - counted more heavily than mild ones, and the result is placed on a scale from low to high risk. Every flagged item carries a suggested rewrite you can apply directly. The weights are heuristic and specific to this checker, so the score is a relative gauge of copy risk, not a prediction of any particular filter's verdict.
No - and no text checker can make that promise. Placement is decided by sender reputation, authentication (SPF, DKIM, DMARC), complaint and bounce history, and reader engagement, none of which appear in pasted text. Treat a clean score as one necessary input, and verify your sending domain's setup and list hygiene before expecting consistent inbox placement.
Because the checker works from a static list of phrases that appear disproportionately in junk mail - 'free', 'guarantee', '100%', 'winner' - and it cannot judge whether your use is legitimate. Treat each flag as a suggestion: rewrite incidental trigger words, but keep phrasing that is genuinely your offer if the rest of the score is clean.
The example and behavioral notes were checked against the browser implementation. Standards and primary references below define the relevant format, formula, or platform behavior.
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