Project case study
Cedar Vale Cooperative / Fictional data
Address Migration Toolkit
Parse and review fictional addresses with the Python rules from the original toolkit. The file stays in your browser.
1. Load a CSV
No CSV loaded
Use synthetic records only. Up to 1 MB or 5,000 rows. Files stay in this browser tab.
Required CSV format
Use the header record_id, street, locality, region, postal_code. The sample uses NORTH, SOUTH, or WEST with DEMO-### postal codes. You can also enter region and postal formats with invented addresses.
2. Run validation
Load the sample or choose a synthetic CSV to get started.
3. Review results
Preview
- Ready
- 0
- Missing fields
- 0
- Duplicate
- 0
- Invalid format
- 0
- Needs Review
- 0
- Special Case
- 0
| Record ID | Input street | Parsed address | Status | Detail |
|---|---|---|---|---|
| Results will appear here after validation. | ||||