How to use this text tool
- Paste the source text into the input area.
- Choose only the options relevant to your task.
- Select Clean Comment or press Ctrl/Cmd + Enter.
- Review the result against the original before copying or downloading it.
Toxic Comment Cleaner
Create a safer working copy of a hostile comment while keeping enough context for moderation, classroom, or support review. The cleaner detects a limited, editable set of common insults, profanity, threat phrases, and aggressive commands. You can replace matched language with category labels or use softer wording for selected phrases. The original meaning can change during cleanup, so preserve the source separately and never treat the cleaned copy as an evidentiary record.
Text Input
Comment textAd space
What this tool does
It produces a working copy with configured hostile expressions replaced and separately reports which categories were detected.
The tool applies longest-pattern-first matching for a transparent, limited phrase list. Replacement modes use labels, neutral alternatives, or character masks.
Keep the original comment unchanged in your moderation record; cleaning can remove tone and evidentiary detail.
Example
Input: “Shut up, idiot.”
Label output: “[HOSTILE COMMAND], [INSULT].”
Use cases
- Prepare examples for a classroom handout.
- Create a lower-exposure review copy.
- Quote a hostile message in a support response.
Tips for better output
- Preserve the original separately.
- Check every replacement in context.
- Use labels when exact tone is not needed.
- Do not assume unmatched text is safe.
- Escalate credible threats manually.
Processing details
Processing uses a compact built-in phrase dictionary. It is deterministic, runs in the browser, and reports the categories and number of replacements.
Slang, coded language, misspellings, other languages, reclaimed terms, and contextual uses may be missed or misclassified. This is not a toxicity classifier.
Frequently asked questions
Does the cleaner delete the original comment?
No. It only creates output from the text currently in the input box.
What is the difference between labels and masking?
Labels name the detected category, while masking replaces letters with asterisks and preserves basic word shape.
Will it detect every toxic phrase?
No. The built-in list is intentionally limited and cannot understand all slang or context.
Can I use it to make an enforcement decision?
No. Review the original comment, conversation context, and applicable policy.
How should credible threats be handled?
Preserve the original and follow the relevant safety or emergency escalation procedure.
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Output fields
| Field | Purpose |
|---|---|
| Processed output | The generated working text or report |
| Summary | A compact processing result |
| Statistics | Counts that help verify the output |
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