Find, merge or remove duplicate records
Dedupe records without deleting useful data
Deduplication finds rows that refer to the same person, company, product, or account.
Choose the property that identifies the entity, such as an email, phone, company website, SKU, or a combination of fields. Datablist compares the values and groups the matching records.
The duplicate check is read-only. No row changes until you review the result and start a processing action.
Remove a redundant row when it adds nothing. Use Merge and preserve data when another row contains a phone number, source, note, status, or other value you need.
Suppress overlaps across several collections
Compare complete rows with All Properties, or select the fields that identify one entity. Exact catches identical values. Smart processors normalize emails, URLs, phone numbers, text, and business data before comparison.
Use Match across collections to compare an incoming lead file with a CRM export. Map columns with different names, then remove matched rows from the incoming collection while preserving the CRM.
Separate safe groups from matches that need review
Use two confidence thresholds to include broad candidates while keeping lower-confidence groups out of batch processing. Ready groups have a concrete result. Needs-review groups stay unchanged until you resolve the match, conflict, or selection rule.
Open Why matched to inspect the properties, algorithms, processors, and score ranges. Search every remaining group and sort by risk, confidence, or records affected. See the full Duplicate Finder documentation for every setting.
Choose what happens to each duplicate group
Merge equal and complementary records
Merge and preserve data selects one destination record, fills empty properties, applies your conflict rules, then deletes the secondary rows.
- Keep one copy when every record has the same value.
- Fill empty fields from complementary records.
- Combine text, keep the selected value, or use field survivorship rules for conflicts.
Resolve conflicts with field-level rules
Choose how each conflicting property survives. Combine distinct text values, keep the destination record's value, or select a value with a survivorship rule.
Paid plans can choose the newest, oldest, longest, shortest, highest, lowest, or most frequent value independently for each field while preserving the selected record ID.
Review exceptions one group at a time
Open the Merging Assistant when one group needs a decision that should not become a batch rule.
Choose the destination record, inspect every property, select the values to keep, or exclude a row from the duplicate group.
Process duplicate groups with custom AI rules
Review, export and undo duplicate changes
Download duplicate groups before processing when another person needs to review the matches.
After a merge or removal, Premium plans can download a change log with the deleted, updated, previous, and destination values.
Export the cleaned collection to CSV or Excel. Automatic duplicate operations also appear in History, where you can undo them.
When to use Data Deduplication?
- Mailing List Deduping
Over time, multiple sources will flow into your mailing list. With webinar participants, buyers, freemium users, etc. an email address can appear multiple times on your mailing list.
Duplicate email addresses impact your marketing campaigns with extra costs, spammy behavior, and the risk of user frustration if they keep receiving mailings after unsubscribing from a campaign.- How to dedupe email addresses
- Microsoft Excel Deduplication
Google Sheets, Microsoft Excel, and other spreadsheet tools offer basic deduplication features. They highlight duplicate values in a column or delete them. Use Datablist automatic merging and the manual Merging Assistant to deal with complex duplicate records.
Datablist opens CSV and Excel files alike.- How to dedupe a Excel file
- Lead and Prospect Deduplication Tool
In B2B marketing, the quality of your prospect database impacts the results of your campaigns. A dirty data list with duplicate leads increases storage cost, reduces lead tracking efficiency, and brings frustration to your sales team.
Manage your lead generation processes with Datablist. Or import your CRM data, or lead lists into Datablist to clean them.- How to deduplicate lead lists
- Deduplicate CSV files
Cleaning CSV data is time-consuming. Data engineers use programming languages like Python to parse and clean CSV data. Datablist offers a No-Code tool to perform data cleaning processes with your CSV files for non-technical users. Open CSV files with hundreds of thousands of rows and deduplicate records fast.
- How to dedupe a CSV file
Frequently Asked Questions
Yes. Anonymous visitors can run an Exact duplicate check. Creating a free account unlocks Smart comparison and the other Free-plan single-collection features. Fuzzy, phonetic, cross-collection, advanced survivorship, and AI processing require a paid plan.
Excel's Remove Duplicates command deletes repeated rows based on selected columns. Datablist first shows the duplicate groups. You can remove redundant rows or merge complementary values into one destination record. The preview warns when a Remove action would discard data.
The Free plan supports up to 1 million items per collection in browser storage. Paid plans support imports up to 2 million items per collection. Large local operations still depend on the browser and device.
Absolutely. Our tool uses advanced fuzzy matching algorithms, like Levenshtein and Jaro-Winkler distance, to identify similar records even with misspellings, typos, or minor formatting differences.
It's designed for that. You can enable "Multiple Value Matching" to treat each value within a cell (separated by a semicolon) as a separate entry for comparison. It finds a match if even one of the values is a duplicate.
Yes. Import each file into a separate collection, map their identifiers, and run Match across collections. Datablist can then remove matching rows from an incoming collection while preserving your reference list. Automatic cross-collection processing does not merge unique field values.
Not at all. Datablist is a completely no-code solution. The Duplicates Finder guides you through a simple, step-by-step process where you select your columns and matching rules from a user-friendly interface.
Custom with AI generates a group-processing workflow from a plain-language prompt. It can select a record, copy or normalize values, add fields, calculate group values, delete secondary rows, or skip a group. Review the generated explanation and preview before running it.
Datablist consolidates your data into a single master record. It automatically fills in missing information from other duplicates and gives you options for conflicting data: you can combine text from different rows or choose which value to keep. The redundant records are then deleted.
We offer several algorithms for different needs: 'Exact' for identical matches, 'Smart' for variations like word order or URL protocols, 'Phonetic' for names that sound alike, and 'Fuzzy Matching' for typos and misspellings.
Yes. After Datablist identifies all the duplicate groups, you can export them to a CSV or Excel file before making any changes. This file lists all duplicate items consecutively, with each group listed one after the other, making it easy to review them externally or process them with another tool.
After you finish merging, Datablist provides a downloadable 'Changes List'. This file acts as a log, detailing every record that was updated or deleted during the process. You can use this file to easily replicate the changes in your external system, like a CRM, ensuring your data stays perfectly in sync.
See Also
