Contact reconciliation
Evaluate name, email and phone columns together when no single field is complete enough.
Private • Fast • Browser-based
Match records across multiple columns
Import two tables, pair the corresponding columns and choose a data type for each field. All selected fields are evaluated together with field-level similarity details.
✓ No server upload✓ CSV & Excel✓ No signup
A
Table A
B
Table B
Matching settings
Comparison type
Ways to use it
Resolve everyday list work faster
Cross-system matching
Pair differently named columns from two exports and review likely record matches.
Lead deduplication
Combine company, contact and email evidence to review likely duplicate leads.
Roster alignment
Match people across exports using name and another available contact field.
How it works
Results in three steps
- 1Add your listsPaste them or select columns from files.
- 2Choose matching rulesTune normalization and threshold for your data.
- 3Review and exportCheck categories and download CSV or Excel.
Frequently asked questions
What to know
How are multiple columns combined?
Selected fields are normalized by type and scored together; identifiers, email and phone receive stricter treatment.
Can the column names differ?
Yes. You explicitly pair each column from Table A with its counterpart in Table B.