Free · No signup · Runs in your browser

Clean CSVHeaders

Normalize messy column names to a consistent case style, trim stray whitespace, and suffix duplicates — entirely in your browser.

01 · How it works

Three steps, then done.

Upload a CSV, pick a naming style, and the tool rewrites only the header row. Every cell of data is left untouched.

1

Load your CSV

Drop in any CSV file. Parsing happens locally in your browser — nothing is uploaded to a server.

2

Pick a header style

Choose snake_case, camelCase, Title Case, lowercase, or UPPERCASE. Toggle whitespace trimming and duplicate suffixing to fit your schema.

3

Export clean headers

Download a CSV with normalized column names. The data rows are byte-for-byte identical to what you put in.

02 · Why ours

Why clean your CSVheaders

Inconsistent column names break joins, imports, and scripts. A single normalization pass makes a file safe to load anywhere.

  • 01

    Reliable imports

    Databases and BI tools choke on spaces, punctuation, and mixed case. snake_case or lowercase headers import cleanly into Postgres, BigQuery, and pandas.

  • 02

    No duplicate collisions

    Two columns named "Date" silently overwrite each other in many parsers. Automatic _2 suffixing keeps every column addressable.

  • 03

    Consistent across files

    Apply the same style to every export so downstream scripts can rely on one predictable naming convention instead of guessing.

  • 04

    Private by design

    The transform runs 100% client-side. Your column names and data never leave the browser tab.

"Rewrites only the header row — every data cell comes out byte-for-byte identical to what you put in."
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03 · FAQ

clean headers questions.

Does cleaning headers change my data?
No. Only the header row is rewritten. Every data row is copied through unchanged, including values that look like the old header names.
With duplicate suffixing enabled (the default), the first occurrence keeps its name and later duplicates get _2, _3, and so on, so every column stays uniquely addressable.
The tool splits on whitespace, punctuation, and camelCase boundaries, so "firstName", "First Name", and "first-name" all normalize to first_name.
No. A header that normalizes to nothing is replaced with a safe placeholder of "column" so the output always has a valid, non-empty header for every field.
Never. Parsing, renaming, and export all happen locally in your browser. No file or column name is ever sent to a server.
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