Data Editing & Cleanup Tools
Env Editor
Edit .env files with validation, sorting, and warnings. Add, remove, rename variables. Browser-based, no uploads. Perfect for managing config files securely.
Csv Column Editor
Reorganize CSV columns with drag-drop reordering, remove unwanted columns, rename headers. Fast data cleaning in your browser. No uploads needed.
Csv Diff
Compare two CSV files side-by-side with cell-level highlighting. Detect added, removed, and modified rows instantly. Export diff reports as HTML or CSV.
Csv Editor
Edit CSV files with visual table interface. Add, delete, edit rows and columns. Sort data, adjust values. Browser-based with no uploads needed.
Json Editor
Edit JSON data with tree navigation and text editing. Add, delete, modify properties. Validate syntax in real-time. Works offline in your browser.
Spreadsheet Data Organization
CSV files from exports and database dumps often need reorganization before use. Columns may be in the wrong order, headers unclear, or unnecessary data included. Our data editors let you restructure CSV files without opening spreadsheet software.
Column Reorganization
Drag columns to new positions, matching the layout you need for imports or analysis. Visual column cards show sample data, making it easy to identify and arrange fields correctly. Changes preview instantly so you see results before downloading.
Header Renaming
Click column headers to rename them inline. Fix abbreviations, clarify meanings, or standardize naming conventions. Renamed headers are immediately reflected in the preview and exported CSV.
Column Filtering
Remove unwanted columns by unchecking them. This is faster than selecting and deleting in spreadsheet software, especially for large files with many columns. Keep only the data you need.
Data Preparation Workflows
Common use cases include:
- Import preparation: Reorder columns to match database or CRM import templates
- Report cleanup: Remove internal IDs, timestamps, and system columns before sharing
- Data consolidation: Standardize column names across multiple exports
- Privacy protection: Remove sensitive columns (emails, phone numbers) from shared datasets
Format Preservation
Values in cells remain unchanged during reorganization. Numbers, dates, quoted text, and special characters are preserved exactly. Only column order and header names are modified.