Data Tools7 min read

Remove Duplicates Tool: Find and Delete Duplicate Records

Remove duplicate entries from your data files automatically. Define what makes records duplicates and let AI handle the rest.

What the Remove Duplicates Tool Can Do

Intelligently identify and remove duplicate records based on your specific criteria. Define what makes two records duplicates and the AI handles the detection and removal.

Exact Match Removal

Remove records that are identical across all columns or specific columns you define.

Custom Criteria

Define duplicates based on specific combinations of columns, like email + name, or phone + address.

Fuzzy Matching

Find near-duplicates with slight variations in spelling, formatting, or data entry differences.

Keep Preferences

Choose which duplicate to keep - first occurrence, last occurrence, or based on specific criteria.

How It Works

1

Upload Your File

Upload your data file with potential duplicates. The AI analyzes the structure and content.

2

Define Duplicate Criteria

Describe what makes records duplicates. Specify which columns to compare and matching rules.

3

AI Identifies Duplicates

The AI scans for duplicates based on your criteria and shows you what it found before removing.

4

Download Clean File

Get your file with all duplicates removed, keeping only the records you want.

Example Prompt:

Upload a CSV or Excel file and remove duplicates: Remove duplicates based on matching email addresses. When there are duplicates, keep the record with the most recent date in the Last Updated column.

The AI will identify records with the same email, compare their dates, and keep only the most recent one.

Common Duplicate Scenarios

Handle various types of duplicate data that occur in different business contexts.

Customer Databases

Clean up customer lists with multiple entries for the same person.

  • Same person registered multiple times with different email variations
  • Duplicate contact records from merged databases
  • Multiple entries with slight name spelling differences
  • Keep most complete or most recent customer record

Transaction Records

Remove duplicate transactions, orders, or financial records.

  • Duplicate order entries from system glitches
  • Multiple payments recorded for same transaction
  • Repeated invoice entries across different systems
  • Keep transaction with highest amount or most recent date

Inventory & Product Data

Clean up product catalogs with duplicate listings and entries.

  • Same product entered with different SKU variations
  • Duplicate product listings from multiple suppliers
  • Items with similar names but different descriptions
  • Keep product with most complete information or lowest price

Try It Now

Upload your file and describe what makes records duplicates.

Create Remove Duplicates Tool →

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