I will clean and normalise your product catalogue for amazon or shopify

Turkey

I speak English, Turkish

Data extraction, PDF to Excel and catalogue cleanupFluentData extraction, PDF to

I clean, convert and verify data - and I show you the check, not just the file. Product catalogues normalised, PDF tables converted into usable spreadsheets, data extracted from pages where browser pl...

About this Gig

Your catalogue is costing you sales, and you already know it: the same brand written five ways, the same product listed twice, prices stored as text, empty attribute columns.

I clean it up and show you exactly what I changed.

WHAT I FIX

Brand names: "mercedes", "MERCEDES BENZ", "Mercedes - Benz" become one canonical brand

Duplicates: found by model plus attributes, not just by title

Numbers: "450.000 TL", "450000", "TL 450 000" all become 450000 as a real number

Units and formats: cm/inch, kg/g, years written as "20" or "2.020"

Empty attributes: filled ONLY from a verifiable source, otherwise left empty and flagged

WHAT YOU RECEIVE

cleaned_catalogue.xlsx the corrected data

changes_report.xlsx every single change, so you can audit me

issues_list.xlsx rows that need your decision

FREE SAMPLE

Send 50 rows of your messiest data. I clean those 50 free, you compare before and after.

REAL EXAMPLE

A vehicle dataset I rebuilt: 4,221 brand-model combinations, three duplicate brand spellings merged into one, 602 wrong engine sizes corrected, and 450 rows removed because their specs had been invented. A wrong attribute is worse than a missing one.