What is CSV / TSV Cleaner?
CSV / TSV Cleaner normalizes, previews, and converts comma-separated and tab-separated data. Tabular data is one of the most common formats developers work with — exported from databases, spreadsheets, analytics tools, and logging systems — and it often arrives with inconsistent delimiters, broken quoting, or mixed line endings.
The tool auto-detects whether your data uses commas or tabs as delimiters, normalizes the formatting, and provides a clean table preview. It also converts CSV/TSV to JSON arrays of objects, which is useful when you need to transform data for APIs or configuration files.
How to Use CSV / TSV Cleaner
Paste your CSV or TSV data into the input editor. The tool auto-detects the delimiter and shows a preview table. Toggle options for header row treatment, whitespace trimming, and line ending normalization.
View the cleaned output as normalized CSV/TSV or convert it to a JSON array where each row becomes an object with column headers as keys. Copy the result to your clipboard for use in code, API requests, or configuration files.
Common Use Cases
- Data pipeline debugging: Inspect and normalize CSV exports from databases or ETL pipelines to identify quoting or delimiter issues.
- API payload preparation: Convert CSV data to JSON arrays for use in REST API request bodies or configuration files.
- Log analysis: Clean and preview tabular log exports to quickly identify patterns or anomalies in the data.
- Spreadsheet cleanup: Normalize data copied from spreadsheets that has inconsistent quoting, extra whitespace, or mixed delimiters.
- Data migration: Preview and validate CSV data before importing it into a new system or database.