Utilumo
LightDarkSystem

DPP Data Mapper

Map product data and retain its sources locally.

DPP data preparation

Map local supplier data into a Utilumo working format, review every mapping, and correct product values.

Both profiles are nonstandard preparation aids. This tool does not create or certify a compliant Digital Product Passport. Required fields are Utilumo working-profile checks.

Drop a supplier data file

Import one CSV, XLSX or flat JSON file. Review mappings before generating working data.

2 MiB maximum · 1,000 products · 40 columns · 4,000 characters per cell

Formats and limits

One file at a time: UTF-8 CSV (comma, semicolon or tab), XLSX (up to 10 sheets), or a flat JSON object/array. Maximum 1,000 products, 40 columns, 4,000 characters per cell, 20 preamble rows and 2 MiB file size. XLSX ZIP archives are limited to 200 entries and 12 MiB declared expanded contents; worksheet positions stop at row 1,021 and column AN. Formulas are never executed; XLSX uses saved values, which may be stale or absent. Numeric display formatting is not retained: store IDs as text to preserve leading zeroes. No PDF extraction or automatic joins. JSON and CSV exports retain original values and provenance; CSV prefixes formula-like values with an apostrophe.

Files, mappings and corrections stay in browser memory. No upload, storage or external AI.

Questions

Does this create an official digital product passport?

No. It structures product data for preparation. Hosting, identifiers, access rights and applicable product-specific requirements still need a separate implementation.

Can I change mappings and correct values?

Yes. Review suggested columns, ignore irrelevant mappings, confirm them, then correct values or supply missing information. Original source locations remain attached.

Are certificates verified?

No. A certificate field or reference is recorded as supplied data; its presence does not verify authenticity or legal sufficiency.

Where can I check the applicable rules?

Use the official sources linked in Learn and Reference. Applicable requirements depend on the product, AI system, operator role and actual use.