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Area-% Normalizer for Chromatography Peak Table

Area-% Normalizer: computes each peak's area as a percentage of total area (purity by area-%), for a chromatography peak table. Paste data, transform instantly, export CSV/JSON — 100% in your browser. For analytical-chemistry labs.

Paste a chromatography peak table and this tool computes each peak's area as a percentage of total area (purity by area-%), then exports clean CSV or JSON ready for analysis. No upload and no R/Python needed — parsing and computation happen entirely in your browser, so analytical-chemistry labs keep raw instrument data on the device.

Cleaned output

PeakRT_minAreaHeight\n12.345102044502\n24.11888213110\n35.902512210

The parser auto-detects comma, tab, semicolon or pipe delimiters. After transforming, copy the CSV or download CSV/JSON for your pipeline. Always sanity-check the result against your raw data.

Indicative planning tool for research operations. Figures are estimates — verify lot data, expiry, calibration and budgets against the original certificates, vendor documentation and your institution's policies.

Free area-% normalizer for chromatography peak table: computes each peak's area as a percentage of total area (purity by area-%), then export CSV/JSON — runs offline in your browser, no upload.

About Area-% Normalizer for Chromatography Peak Table

A free, offline data tool for analytical-chemistry labs. Paste a chromatography peak table and this tool computes each peak's area as a percentage of total area (purity by area-%), then exports clean CSV or JSON ready for analysis. No upload and no R/Python needed — parsing and computation happen entirely in your browser, so analytical-chemistry labs keep raw instrument data on the device.

How to use Area-% Normalizer for Chromatography Peak Table

  1. 1Paste your chromatography peak table (or click "Load sample" to see the expected layout).
  2. 2The tool auto-detects the delimiter and computes each peak's area as a percentage of total area (purity by area-%) instantly.
  3. 3Review the output, then copy the CSV or download CSV/JSON for the next step.

Why use Area-% Normalizer for Chromatography Peak Table?

  • Purpose-built for a chromatography peak table: it computes each peak's area as a percentage of total area (purity by area-%) in one paste — no spreadsheet gymnastics and no code.
  • Runs fully client-side, so raw instrument data never leaves the browser — important for analytical-chemistry labs handling confidential or pre-publication results.
  • Exports clean CSV or JSON that drops straight into R, Python, Prism, Excel or your LIMS.

Frequently asked questions

What exactly does this tool do to my chromatography peak table?+

It computes each peak's area as a percentage of total area (purity by area-%). You paste the raw export, the parser detects the delimiter (comma, tab, semicolon or pipe), the transform runs, and you see the result plus a one-line summary of what changed. You can then copy the CSV or download CSV/JSON. It is deliberately one well-defined operation so the output is predictable and reproducible.

Is my instrument data uploaded anywhere?+

No. All parsing and computation happen locally in your browser with JavaScript — nothing is sent to a server. That keeps a chromatography peak table private, which matters for analytical-chemistry labs handling unpublished or confidential results, and it means the tool also works offline.

What input and output formats are supported?+

Input can be CSV, TSV, or semicolon/pipe-delimited text copied straight from your instrument software or a spreadsheet — the delimiter is auto-detected. Output is standard RFC-4180 CSV (copy or download) or a JSON array of objects keyed by the header row.

How should I sanity-check the result?+

Spot-check a few rows against your raw file, especially headers and any computed columns. This tool applies a single transform faithfully, but it can't know your specific column quirks — confirm it picked the right columns (e.g. the Cq, OD, area or A260 column) before using the output downstream.

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