Count digits and number values in text, extract numeric sequences, and analyze numeric density, frequency, and repeated values in documents, logs, invoices, and pasted data.
Number 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: Invoice #12345 contains 89 products, 250 reviews, and 12.5% tax. Call 555-0199 before 5 PM.
Number 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 or upload the file, then run the tool. It counts individual digits and detected number sequences separately.
Yes. Use Extract Numbers mode to return only the detected numeric values from the input.
Decimal values are detected as number sequences when decimal mode is enabled.
The frequency table shows repeated digits and detected numeric values so you can identify duplication.
Yes. TXT, CSV, JSON, and pasted logs can be analyzed directly in the input box.
| Module | What it checks |
|---|---|
| Digit scanner | Counts every 0-9 character. |
| Number sequence scanner | Detects multi-digit and decimal values. |
| Frequency table | Shows how often each digit appears. |
| Density score | Compares digits against total text length. |