Created by developers from team Browserling. Load your text in the input form on the left and you'll instantly get text with no duplicate lines in the output area. Then you can use a customized approach to deduplication to merge records that are missing the phone number. World's simplest browser-based utility for removing repeated lines from text. Now, Insycle will only use first name and last name to identify the duplicates, but the phone number field will be included in the report for those contacts. ![]() Duplicate Lines Remover Online works well on Windows, MAC, Linux, Chrome, Firefox, Edge, and Safari. ![]() Users can also remove duplicate text data from File by uploading the file. Click on the URL button, Enter URL and Submit. Remove the phone number field, and add Phone Number Exists as the last rule in Step 4. This tool allows loading the text data URL, which loads text and remove duplicate lines. But sometimes, the phone number field may be empty. Then, the field will be included in the report generated for you to review and identify when duplicates weren't merged due to a missing field.įor example, in Step 1 you may have the matching fields: first name, last name, phone number. You can work around an empty matching value by removing that condition/field from Step 1 and adding it in Step 4. Remember that a single-table deduplication rule allows you to deduplicate records from the same data entity type (for example, contacts against contacts). Data deduplication is a specialized data compression technique that reduces storage needs by eliminating redundant data and storing only one unique instance. If the value for the matching fields listed in Step 1 are blank, Insycle will not include those records in the deduplication. Insycle requires the values to match Step 1. While similar matching is a great way to catch more duplicates, you need to be careful about which fields you use it for. However, using similar matching on a First Name field would be more likely to catch duplicate records that have typos, ![]() There may be other fields where similar matching can produce unwanted results. But you have to be thoughtful about how it is used, or you risk matching non-duplicate records and merging them together.įor example, if you used similar matching on a phone number, colleagues of a contact might be mistakenly identified as a duplicate because they have a similar number. Like adding new matching fields, similar matching can be a great way to detect more duplicates. This can help you to account for differences in formatting and typos. Similar match will detect matches that are two keystroke deviations away from each other, like: Insycle's Merge Duplicates module gives you two options for matching fields-exact match and similar match.
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