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n8n-nodes-csv-normalizer

v0.1.1

Published

Smart CSV/Excel normalizer for n8n workflows - auto-detect encoding, normalize headers, clean data

Readme

n8n-nodes-csv-normalizer

Smart CSV/Excel normalizer for n8n workflows.

n8n.io npm version

Features

  • Auto-detect file encoding (UTF-8, Latin-1, UTF-16)
  • Normalize headers to snake_case
  • Remove empty rows and columns
  • Trim whitespace from all fields
  • Convert dates to ISO format (YYYY-MM-DD)
  • Coerce numeric strings to numbers
  • Custom column name mappings
  • Support for both CSV and Excel files

Installation

In n8n (Community Nodes)

  1. Go to SettingsCommunity Nodes
  2. Click Install
  3. Enter n8n-nodes-csv-normalizer
  4. Click Install

Manual Installation

npm install n8n-nodes-csv-normalizer

Usage

Basic CSV Normalization

  1. Add "CSV Normalizer" node to your workflow
  2. Choose operation: Normalize CSV
  3. Paste or use expression for CSV data
  4. Configure options:
    • ✅ Normalize Headers
    • ✅ Trim Whitespace
    • ✅ Remove Empty Rows

Excel Normalization

  1. Add "CSV Normalizer" node
  2. Choose operation: Normalize Excel
  3. Connect a binary file input
  4. Configure normalization options

Example

Input CSV:

First Name,Last Name,  Email
  John  ,  Doe  ,[email protected]
  Jane  ,  Smith  ,[email protected]

Output JSON:

[
  {
    "first_name": "John",
    "last_name": "Doe",
    "email": "[email protected]"
  },
  {
    "first_name": "Jane",
    "last_name": "Smith",
    "email": "[email protected]"
  }
]

Options

| Option | Description | Default | | -------------------- | ---------------------------------- | ------- | | Normalize Headers | Convert headers to snake_case | true | | Remove Empty Rows | Remove completely empty rows | true | | Remove Empty Columns | Remove completely empty columns | false | | Trim Whitespace | Trim whitespace from all fields | true | | Detect Encoding | Auto-detect file encoding | true | | Normalize Dates | Convert dates to ISO format | false | | Coerce Numbers | Convert numeric strings to numbers | false | | Column Mappings | Map column names to new names | - |

License

MIT

Support

For issues and feature requests, please open an issue.