How to Join CSV Files
- 1Upload the two CSV files
- 2Choose the matching column in each file
- 3Select a join type and download the result
Organize · browser workspace
Join two CSV files by ID, email, SKU, or another matching column. Choose left, inner, right, full, or unmatched results locally.
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.
No. Merging stacks rows vertically; joining matches rows using a key column.
Yes. Choose the email column in each file.
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.