100% local and secure
Your data stays on your device and is never sent to our servers.
Find duplicate lines, count occurrences and export a clean summary. Processing stays local in your browser.
Analyze a list to find repeated lines, count occurrences, and quickly identify the values that appear most often. It is useful before data cleanup, deduplication, or quality checks on lists copied from spreadsheets or exports.
Your data stays on your device and is never sent to our servers.
Clean, structure, and transform your data with rules tailored to the format being processed.
CSV, XLSX, and other tabular formats depending on each tool’s capabilities.
Get a clean, ready-to-use result in seconds without installing software or configuring a complex workflow.
Guide
Add one item per line in the input area.
The tool groups identical lines and counts how many times each one appears.
Identify the most frequent duplicates and reuse the summary for cleanup or validation.
Analysis counts and highlights repetitions without changing the source list. Removal creates a deduplicated list.
That depends on the processing rules. Normalize case first if you want variants such as 'Paris' and 'paris' grouped together.
Yes, when they are pasted as one item per line. For multi-column tables, use a dedicated tabular-data tool instead.
No. Analysis runs locally in your browser.
Put cleaning, validation, filtering, merging, comparison and conversion in a sensible order, and learn when a reusable pipeline is better than isolated tools.
Learn how tabular data is structured, how CSV, Excel, JSON and TSV differ, and how to choose the right format before cleaning, converting or automating a workflow.
Learn a practical order for removing empty rows, trimming values, standardizing headers, checking identifiers and validating a CSV or Excel dataset.
Learn how to compare two versions of a table using a stable key and distinguish added, removed and modified records.
Recommended workflow
Discover tools that naturally fit before, after, or alongside this one.
Remove duplicates, empty rows and unnecessary spaces.
Remove duplicate CSV rows using the columns you choose as matching criteria.
Filter CSV rows by column using text, exact values, or numeric conditions.