Reuse your rules
Save delimiter, selected columns and cleanup settings. Import the rules for next month’s file with the same headers.
FOR RECURRING CONTACT-LIST IMPORTS
Next week’s CSV.
The same saved rules.
Check repeated customer-list exports before importing them: trim spaces, remove exact duplicate rows and keep missing or conflicting values visible. Save your rules for the next file with matching columns.
No install, account, subscription or data upload in the tool.
Try the free browser demo →WORKED EXAMPLE · FICTIONAL CONTACT LIST
Five records in. Four records out.
Exceptions stay visible.
Selected rules: trim edge whitespace, remove exact duplicate rows, require email, flag basic email syntax and check customer IDs. These outputs were calculated with the toolkit’s cleanup engine.
Duplicate row removed1
Missing required email1
Email format flag1
Conflicting ID group1
Before · 5 input rows
| ID | Name | |
|---|---|---|
| 001 | ␣Ada Chen␣ | ada@example.test |
| 001 | Ada Chen | ada@example.test |
| 002 | Bo Li | bo@ |
| 003 | Cora Sun | blank |
| 002 | Bo Li | bo@example.test |
␣ marks a leading or trailing space in the example.
After · 4 output rows
| ID | Name | |
|---|---|---|
| 001 | Ada Chen | ada@example.test |
| 002 | Bo Li | bo@ |
| 003 | Cora Sun | blank |
| 002 | Bo Li | bo@example.test |
Highlighted records remain in the output for review.
- The two 001 records match after trimming, so only the exact duplicate is removed.
- Both 002 records remain: their email values conflict, and the tool does not choose the correct one.
- The blank email and
bo@remain unchanged. Fix them from verified information before importing.
AI-assisted creation. Fictional example; no customer results are claimed. Email syntax checks do not verify deliverability. UTF-8, up to 2 MB / 10,000 rows.
Keep conflicts visible
Find different records with the same identifier. Flag missing required values and basic email format issues. Nothing is guessed.
Export the evidence
Download cleaned CSV, a full issue log and JSON audit report. Exact decimal totals make changes in selected amounts visible.
WHAT YOU RECEIVE
Open a file.
Start checking.
An offline package; no hosted software account.
- CSV-Cleanup-Kit.html: the complete app with editable inline source.
- START-HERE.html: setup, workflow, privacy and limits.
- Fictional invoice example: CSV input and reusable JSON rules.
- Expected outputs: cleaned CSV, issue CSV and audit JSON for the example.
- Text export fallback: copy the complete output when a browser blocks downloads.
Why buy if there is a free demo?
The free demo handles comma-separated CSV, whitespace, exact duplicates and a numeric total. The toolkit adds a self-contained offline file, file import, semicolon / tab input, reusable rules, conflicting identifier flags, required-value checks, basic email format flags and an issue CSV. It includes a guide and expected sample outputs.
Does it change or upload my original file?
The tool reads your selected file in memory and exports a separate output. It has no network requests, analytics or external scripts. Keep your original export and review every exception before using the result.
Which files can it handle?
UTF-8 CSV / TSV up to 2 MB and 10,000 data rows, with unique nonempty headers. Choose comma, semicolon or tab. Numbers must use dot decimals, without grouping, currency symbols or exponents. Other formats need preparation before import.
Can I use this for accounting or verify email addresses?
It flags syntax and reports arithmetic under the rules you choose. It does not certify accounting or tax correctness, validate business meaning, confirm email deliverability or choose which conflicting record is right.
What has been tested?
Core checks cover parsing, exact decimals, duplicate and conflict handling, missing values, rule validation and guarded exports. The interface has been checked in the Codex in-app browser. Each product version lists its validation in the guide. No paid customer results or other browser compatibility are implied.