Small, one-off service · AI-assisted scripts, human-reviewed exceptions
Turn messy CSV contact lists into clean, auditable data.
For small businesses, research teams, and spreadsheet users who need consistent data before a CRM import. No subscription, no long-term commitment.
Typical tasks: align column headers, normalize email and phone formatting, identify exact duplicates, flag unclear or conflicting records, export a clean CSV and a separate review log. Your source files are never overwritten.
Ask for a one-time quote →Use the short English-language scope form; no customer file is uploaded. After submitting, save the private request ID and retrieval code to check your response in the support portal. Automatic email replies are not provided. Please do not paste personal/customer records in your initial request.
Want to check the scope first? Use our free, private CSV preflight checker to count formatting issues locally, without uploading contact records.
What can be delivered
Agreed fields in the requested order, consistent encoding and formatting, with verified row counts.
Duplicates, invalid entries, and mismatched contact information flagged for your decision, not silently guessed or deleted.
Source-file checksums, per-row decisions, and a clear summary of accepted and rejected records.
A real test of a synthetic example
Using only invented test records, we ran the offline CSV cleaner with 8 input rows:
| Result | Rows | What happened |
|---|---|---|
| Accepted | 4 | Included in the clean three-column output |
| Exact duplicate | 1 | Identified without duplicating an output contact |
| Invalid | 2 | Rejected with a reason in the audit log |
| Conflict / manual review | 1 | Not automatically merged |
Synthetic internal example only. It is not a completed client project, testimonial, or guarantee. The current prototype processes authorized CSV exports offline; direct Google Sheets and old XLS integrations are not included. Additional source formats must be agreed and tested separately.
Download a fully synthetic before/after sample
See exactly how duplicate entries, invalid rows and ambiguous contacts are handled. This is invented demonstration data, not a client project.
Download example pack (ZIP) View row-by-row audit (JSON)
Includes two input CSV files, four-row cleaned CSV, audit JSON and a README with limitations. All sample addresses use example.com/example.org and fictional phone numbers. For Excel, import phone numbers as text to preserve the + country prefix. No customer records or paid results are shown.
Small-project process
- Send a private inquiry with approximate row count, file types, target column names, and your country/phone rules without sharing records.
- We agree in writing on a one-time fixed scope, price, confidentiality rules and the permitted transfer method before you share any data.
- We run format and duplicate checks, manually review a sample, and deliver an import CSV plus an exceptions summary for acceptance.
Time and price: depends on file count, data quality and format. An uncomplicated CSV under 1,000 rows may take approximately 1–3 working days after scope agreement; any price is individually quoted. No payment link is active on this page and no transaction is processed here.
Data handling and limitations
- Only submit data you are legally authorized to share. Do not submit payment cards, identity documents, health data, passwords, or other sensitive data via the inquiry form.
- Automation is used for repeatable formatting; human review is required for ambiguous contacts. It cannot confirm whether a phone number or email address is actually reachable.
- No mass mailing, unsolicited outreach, purchased contact lists, scraping private data, or promises of ongoing maintenance.
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Plainsheet · Service information dated 2026-11-08. This page is an invitation to discuss a job, not a contract or proof of previous paid work.