Delimiter and encoding
Delimiter detection, character encoding and byte-order-mark issues.
Use it to diagnose a source catalog before converting it to a channel-specific export. FeedScore groups repeated row-level errors into practical fixes for your spreadsheet, PIM or ecommerce export.
Delimiter detection, character encoding and byte-order-mark issues.
Duplicate columns, unexpected headers and inconsistent field counts.
Broken quoting and embedded characters that shift product rows.
Missing, duplicated or unstable IDs across catalog records.
Price, currency, availability and condition normalization.
Missing images, thin titles and descriptions, categories and identifiers.
Fix blockers first, then catalog-wide patterns, and leave isolated optimization opportunities for last.
Provide a public CSV source file without granting access to your store.
Fix parsing, column and row-shape problems before product attributes.
Use the affected-row export to repair content and commerce fields in bulk.
Google documents XML and tab-delimited text as common product data source formats. A CSV audit is most useful for cleaning the upstream catalog before you convert or map it into the exact format required by a destination.
No. CSV typically uses commas, while tab-delimited files use tab characters. Both are tables, but the delimiter and escaping rules differ. FeedScore identifies the structure before evaluating product fields.
Yes, if it is available as a public CSV URL. Native Excel or Google Sheets files are outside the first-release scope unless exported to CSV.
It detects duplicate identifiers and can flag exact or near-duplicate content signals. Determining whether two distinct IDs represent the same real product may still require a human decision.
Yes. Findings are grouped by root cause and include affected rows, making it easier to repair the export mapping rather than editing products one by one.
Our public guidance is checked against first-party documentation. FeedScore adds independent data-quality checks and does not represent a platform approval decision.