Find special characters, emoji, hidden Unicode, zero-width spaces, non-breaking spaces, BOM, and control characters before validation, publishing, or data import.
Special Character Counter converts raw pasted text into a clear analytics report. It shows the main count, supporting metrics, density, and an interpretation that helps you decide whether the text needs cleanup or review.
All processing happens locally in the browser. No server upload is required for pasted text.
Example input: Clean text? Maybe not. Hidden: NBSP: Emoji: 🚀 Price: €25. Code: {x: 1};
Special Character Counter uses deterministic character matching and script-aware checks where applicable. It also calculates total characters, lines, density, frequency, and category-specific quality signals.
Language detection is heuristic, not a full linguistic classifier. For legal, academic, or production validation, review the exported report manually.
Paste your text and run the tool. It reports non-letter, non-number characters and invisible Unicode markers.
Yes. Zero width spaces, non-breaking spaces, BOM, and hidden control characters are identified.
Use Clean Hidden Characters mode to remove invisible control and formatting characters from the output.
Hidden characters or unsupported Unicode symbols often cause validation errors. This tool highlights those issues.
Yes. Analyze the file first, then export a cleaned TXT, CSV, or JSON report.
| Module | What it checks |
|---|---|
| Special scanner | Counts non-letter and non-number characters. |
| Invisible detector | Finds zero-width, non-breaking, BOM, and control characters. |
| Clean output | Removes hidden Unicode safely. |
| Input score | Rates text cleanliness for validation. |