Data Labels and Variable Data Label Printing

What Is a Data Label?

A data label draws its content from an external source rather than a fixed design. The frame, logo and layout stay constant; the fields — product name, stock code, serial number, weight, origin, expiry date — are filled from the corresponding row. A 4,000-row spreadsheet becomes 4,000 different labels.

Sources We Work With

• Excel (.xlsx, .xls): a flat table with headers in the first row. No merged cells, no subtotal rows.
• CSV / TSV: the safest format for large datasets. Save as UTF-8 to avoid character corruption.
• ERP / MES exports: if the report structure is stable, recurring jobs need no manual step at all.
• Database connection: SQL or API access so current data is pulled at every print run.

Before You Send the File

Three issues cost the most time: the same stock code written two different ways, numeric fields stored as text, and Excel stripping leading zeros. We catch all three during validation, but fixing them at source saves a day.

Six Steps from Data to Label

1. Data intake and file check
2. Validation — empty cells, duplicates, format and character errors reported
3. Field mapping — spreadsheet columns bound to label fields
4. Digital proof — first, middle and last records printed as samples
5. Printing — the full set in a single pass
6. Verification — read testing on barcode and QR content

Recurring Jobs

Once column mapping is established it is saved. For the next run you send only the updated file; design and mapping steps do not repeat.