PrivConvert CSV-to-Excel public test — September 24, 2026

These are generated public test identifiers, not customer records.
The CSV and XLSX may be reused to reproduce the test.

Procedure:
1. Open https://privconvert.app/tools/csv-to-excel.
2. Paste the exact contents of csv-leading-zeros.csv.
3. Keep Delimiter = Auto; set Sheet name = Public sample.
4. Create the result and download the XLSX.

The published XLSX is the unchanged file downloaded from the live browser tool
in Chrome 150 on macOS. The browser's normal-download fallback was used in an
isolated test tab; no file contents were edited or re-exported afterward.

All 20 cells in Public sample!A1:E4, including the header row, were checked
against the parsed CSV using an independent workbook importer. The XLSX XML
was checked independently for exact values, text storage, and no formulas.
results.json records each cell, the method, scope, sizes, and SHA-256 hashes.

This is a one-fixture data-storage test, not a benchmark of native Excel UI,
formatting fidelity, large files, malformed CSV, or every spreadsheet app.
CSV does not preserve workbook styles or multiple sheets. Values stored as
text may need deliberate conversion for arithmetic or date operations.

To repeat the XML verification with Python's standard library, place
check-csv-evidence.py in scripts/ beneath a project root and these fixtures in
public/evidence/2026-09-24 beneath that root. Run:
python3 scripts/check-csv-evidence.py

Guide: https://privconvert.app/guides/csv-to-excel-leading-zeros
Tool: https://privconvert.app/tools/csv-to-excel
Corrections: kevin.pyx@proton.me