Runs entirely in your browser - no upload, no sign-up.
The earlier export or baseline file.
The newer export you want to check.
A CSV diff tool compares two versions of tabular data and shows which records were added, removed, changed, or left alone. This browser tool matches rows by a shared key such as an ID, SKU, or email, then highlights exact field changes without uploading either file.
Paste CSV data, choose local files, or load the worked example for the original and updated versions.
Confirm each delimiter, then let the tool parse the headers and find shared columns.
Select the ID, SKU, email, or other column that uniquely identifies a record in both files.
Compare the added, removed, changed, and unchanged counts, then filter the cell-level table.
Copy or download a CSV report with one row for each field that changed.
A plain text diff treats a reordered export as a wall of changes. This comparator parses each CSV first and joins rows by the key you select, so moving a record from line 20 to line 200 does not create a false difference.
Quoted commas, embedded line breaks, doubled quotes, UTF-8 byte-order marks, and comma, semicolon, tab, or pipe separators are handled locally. You can filter the result by status and copy or download a field-level audit report.
No. Both files are read, parsed, compared, filtered, and exported inside your browser. Their rows are not sent to a conversion service or stored by CanDoYa. This local workflow is suitable for confidential exports, although you should still follow your organization's data-handling rules.
Yes. You can compare two CSV files, choose a key column, inspect every result status, and copy or download the difference report without payment or sign-up. The file, row, and column limits exist only to keep the browser tab responsive.
Each file can be up to 5 MB and contain up to 100,000 data rows and 500 header columns. The tool reports a clear error when a source exceeds a limit instead of silently truncating it. Split larger exports before comparing them.
You select a column that exists in both files, such as ID, SKU, or email. The tool pairs rows with exactly equal values in that column, regardless of row order. Values are case-sensitive and spaces are significant, so clean inconsistent keys before comparing.
The comparison stops and asks you to choose a unique key or remove duplicates. Picking one duplicate arbitrarily could hide a changed row or match the wrong records. Use the CSV Deduplicator first if a supposedly unique ID appears more than once.
Yes. Columns are matched by their header names, not positions. A shared field can move from one position to another without creating a change. Columns found in only one file are included in the result, where their missing-side values appear blank.
Yes. The parser handles delimiters inside quoted cells, doubled quote characters, embedded line breaks, common line endings, and a UTF-8 byte-order mark. You can auto-detect or choose comma, semicolon, tab, or pipe input independently for each file.
A text diff compares lines, so sorting the same rows differently can make an unchanged file look completely rewritten. Key-based comparison treats each row as a record. It isolates actual inserts, removals, and field edits even when export order changes.
