How to use this text tool
- Paste or upload your text.
- Choose the analysis mode or preset.
- Run the tool and review the quality score, detected issues, and exportable report.
Count footnote markers and find duplicate, missing, or inconsistent footnote numbering in academic drafts.
Footnote Counter turns pasted academic text into practical diagnostics with counts, warnings, and a concise improvement signal.
Use the output as a fast editorial check. Human review is still recommended for final academic submission.
Example: paste a paragraph or reference section, run Footnote Counter, then use the generated report to revise length, formatting, flow, or consistency.
All processing runs locally in the browser with JavaScript. The page does not need a server-side text upload to calculate results.
Pattern-based academic tools can produce false positives, especially with citations, passive voice, and dialogue detection.
Use Footnote Counter with representative input, select the relevant options, and compare the processed output with the original text.
Paste the relevant text into Footnote Counter, choose the options that match your goal, and run the tool. Review the output and metrics to detect duplicate footnote numbers before copying or downloading the result.
Test this case in Footnote Counter with a short sample first, then apply the same settings to the full text after confirming the output.
Paste the relevant text into Footnote Counter, choose the options that match your goal, and run the tool. Review the output and metrics to check footnote order in an essay before copying or downloading the result.
Footnote Counter runs locally in the browser. Review the tool-specific metrics and warnings before copying or downloading the result.
| Module | Function |
|---|---|
| Input parser | Normalizes pasted or uploaded academic text |
| Pattern detector | Finds tool-specific writing signals |
| Quality score | Summarizes readiness on a 0–100 scale |
| Export module | Creates TXT, CSV, and JSON reports |