DataDoctor

Runs entirely in your browser — no uploads, no saved snippets, no public links.

Paste a file, inspect the issues, export reviewed output.

Google Contacts cleanup

Google Contacts CSV Cleaner

Check contact CSVs for missing identity, duplicate contacts, invalid emails and phone values before import.

Paste contacts CSV, load the contacts sample, or upload a local file.

Next workflow

Continue the preflight

HubSpot CSV Import Checker

Check contact email identity for CRM import.

Mailchimp CSV Checker

Review email-list import readiness.

CSV Cleaner

Export a cleaned contacts file.

After the tool runs

Google Contacts CSV Cleaner review guide

Use the tool above first. The supporting notes below help you interpret the result, fix the right issues in the right order, and choose the next DataDoctor tool without pushing SEO content above the actual task.

Best input

cleaning Google Contacts CSV exports before reimporting or merging address books.

Output to keep

Keep a before/after import file plus a short list of rows changed for the target platform.

Next check

Run a generic CSV data quality check before final upload when the platform-specific checker passes.

What it checks

Google Contacts CSV Cleaner for real data work

Google Contacts CSV Cleaner focuses on the rules a real platform usually enforces: required headers, identity fields, duplicate keys and value formats.

  • Contact identity
  • Duplicate email, phone or name keys
  • Email format
  • Phone format

Fix these first

Common errors to review before downstream work

Most failures come from small file issues that become expensive only after an API call, import job or spreadsheet cleanup. Fix blocking errors first, then re-run the same tool before moving forward.

  • Rows with no name or contact method
  • Duplicate contact keys
  • Invalid phone characters
  • Email columns from Google export variants

Recommended workflow

Run the check in this order

Use the report to fix platform-blocking issues first. After those pass, run broader CSV checks for blanks, type drift and suspicious rows before uploading.

  1. Step 1

    Paste the contacts CSV

  2. Step 2

    Run the cleaner check

  3. Step 3

    Review duplicate contact groups

  4. Step 4

    Fix missing identity and invalid contact methods

How to interpret a passing result

A pass means this specific preflight did not find the issues listed above. It is not a guarantee that the target system will accept every row, field, custom mapping or account-specific rule.

Platform presets catch common import rules, but account-specific mappings, custom fields and plan-specific limits can still reject rows.