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Your data stays on your device and is never sent to our servers.
Analyze CSV data to detect structural inconsistencies, irregular columns, and common errors before reusing or importing the file.
Validate a CSV file locally and detect malformed rows, problematic headers, or unclosed quoted fields before importing it.
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.
Fonctionnement
The tool parses CSV records using the selected or automatically detected delimiter while preserving quoted fields and embedded line breaks. It then compares column counts, reviews headers, and reports structural inconsistencies without modifying the original data.
Find malformed rows before importing data into a CRM, ERP, or spreadsheet.
Validate file consistency before transforming, merging, or deduplicating it.
Locate unclosed quotes, missing columns, or duplicated headers quickly.
Guide
Paste the CSV or provide the information required by the tool.
Choose the columns, rules, or options that match your objective.
Check the report, then copy or download the generated data.
No. Parsing, comparisons, and transformations are executed locally in your browser.
Yes. The CSV engine supports delimiters inside quoted fields and multiline quoted content.
Yes. When a new CSV is produced, it can be copied or downloaded directly from the page.
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.
Understand how to define a reliable duplicate key, distinguish exact and business duplicates, and validate a CSV before and after deduplication.
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 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.