CSV Header Editor
Headers like 'First Name ', 'LAST_NAME', and 'e mail' breaking your imports? Rename, normalize case, trim spaces, and convert to snake_case or camelCase across all headers at once.
CSV Header Editor
Edit CSV headers inline, bulk rename (find/replace), case normalization, snake_case/camelCase conversion
Drag and drop a CSV file here, or click to browse
or paste CSV data below
How to use CSV Header Editor:
- Upload a CSV file or paste CSV data
- Edit headers inline in the text inputs
- Use case conversion buttons for bulk formatting
- Use find/replace for bulk renaming
- Supports regex patterns for advanced replacements
- Click "Apply Header Changes" to generate output
What This Tool Does
This tool lets you edit CSV column headers quickly. Click any header to edit it inline, apply bulk case transformations (lowercase, uppercase, snake_case, camelCase), or use find/replace with regex support to rename multiple columns at once.
Header Editing Options
Inline editing: Click any header cell, type the new name, press Enter to save.
Case conversion: Transform all headers to:
- lowercase — all lowercase
- UPPERCASE — all uppercase
- Title Case — First Letter Capitalized
- camelCase — first lowercase, rest capitalized
- PascalCase — All Words Capitalized
- snake_case — lowercase with underscores
- kebab-case — lowercase with hyphens
Find and replace: Search for text or patterns in headers and replace them. Supports regex for advanced patterns.
Case sensitive: Toggle case sensitivity for find/replace operations.
Example: Case Conversion
Input CSV headers:
First Name,Last Name,Email Address,Phone Number
Convert to snake_case:
first_name,last_name,email_address,phone_number
Example: Find and Replace
Input CSV headers:
user_id,user_name,user_email,created_at,updated_at
Find "user_", replace with "customer_"
customer_id,customer_name,customer_email,created_at,updated_at
Example: Regex Replace
Input CSV headers:
col_1, col_2, col_3, total_amount
Regex find: "col_(\d+)", replace: "field_$1"
field_1, field_2, field_3, total_amount
When to Use This
Database imports: Rename columns to match your database schema before importing.
API compatibility: Adjust header names to match API field requirements.
Code generation: Convert headers to camelCase or snake_case for use as variable names.
Clean up exports: Fix messy headers from legacy systems with spaces, special characters, or inconsistent casing.
Standardization: Apply consistent naming conventions across multiple CSV files.
Case Conversion Guide
snake_case: Best for database columns, Python variables, Unix conventions.
camelCase: Standard for JavaScript, Java, and many programming languages.
PascalCase: Used for C# classes, TypeScript types, and Go structs.
kebab-case: Common in URL slugs, CSS classes, and HTML attributes.
lowercase: Simple normalization for case-insensitive systems.
Regex Replace Tips
Capture groups: Use parentheses () to capture parts of the match, reference with $1, $2, etc. in replacement.
Common patterns:
^s+|s+$ - Trim leading/trailing spaces [^w] - Any non-word character ([a-z])([A-Z]) - CamelCase boundary d+ - Numbers
Test first: Preview changes before applying to ensure the regex works as expected.
Limitations
Large files: Works best with files under 50MB. Very large files may cause slow rendering.
Many columns: Files with thousands of columns may be unwieldy to edit manually.
Frequently Asked Questions
Does this modify the data rows?
No. Only header names change. All data rows remain exactly the same.
Can I undo header changes?
Use the reset button to restore original headers before exporting. Once exported, changes are permanent.
What if two headers become the same name?
The tool allows duplicate headers, but this may cause issues in downstream tools. Ensure header names remain unique.
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