How to Join CSV Files
- 1Upload the two source CSVs.
- 2Choose the key column in each file.
- 3Select the join type, inspect the result, and download it.
Organize · browser workspace
Join two CSV files by email, ID, SKU, or another matching column with inner, left, right, and unmatched modes. Process locally in your browser with HappyCSV.
Quick start
Everything runs in your browser, so you can test the workflow with sample data when available before using production files.
Output: A joined CSV with matched and, when selected, unmatched rows.
A joined CSV with matched and, when selected, unmatched rows.
Up to 100 MB per CSV, 20 MB per complex document; 250,000 rows, 1,000 columns, 2 million cells, and 128 MB output. Jobs stop after two minutes. Large files may need splitting.
No. File processing stays in your browser. Files are not automatically saved for the next visit.
Yes. Add the files required for this operation and review their order before processing.
Combine CSV files with missing, renamed, or reordered columns without shifting values into the wrong fields. Includes a safe Pandas workflow.
Combine multiple CSV files into one master file without Excel crashing. Step-by-step guide for merging CSV files with different structures.
Choose the right join type, clean the matching keys, detect duplicate-key row multiplication, and reconcile the result before using it.
Use the symptom-specific walkthrough before changing a production file.