CSV Deduplicator
Remove duplicate CSV rows using the columns you choose as matching criteria.
Tag
Discover 25 resources related to data.
Remove duplicate CSV rows using the columns you choose as matching criteria.
Split a CSV file into smaller files using the size or groups you choose.
Compare two CSV files to quickly identify rows and values that differ between them.
Merge multiple CSV files into one table while keeping columns aligned consistently.
Filter CSV rows by column using text, exact values, or numeric conditions.
Sort CSV rows by a selected column in ascending or descending order.
Select the CSV columns you want to keep in the final result.
Rename one or more CSV columns without changing the row data.
Analyze CSV columns and quickly get useful statistics about your data.
Convert JSON data to YAML or YAML data to JSON directly in your browser.
Convert JSON data to XML or XML data to JSON directly in your browser.
Convert tabular text between comma-separated and tab-separated formats.
Merge multiple lists into one set of lines ready to copy or reuse.
Split a long list into evenly sized groups using the number of items you choose.
Convert CSV data to JSON or JSON to CSV while preserving useful structure.
Compare two lists to identify shared items and values that differ between them.
Sort list items alphabetically, numerically, or using the ordering option you choose.
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 when to filter rows, sort records, keep only useful columns and rename headers so a CSV is easier to analyze, merge or export.
Learn how to align headers, verify schemas and combine several CSV or Excel files while avoiding duplicated or shifted columns.
Discover when to split a large table by row count or by a column value, and how to preserve a useful structure in every output file.
Learn how to compare two versions of a table using a stable key and distinguish added, removed and modified records.
Understand delimiters, encodings, types, nested JSON and spreadsheet features before converting data between CSV, Excel, JSON and TSV.
Put cleaning, validation, filtering, merging, comparison and conversion in a sensible order, and learn when a reusable pipeline is better than isolated tools.