XLSX CSV Detect Normalize

Auto-detect CSV delimiter/encoding (UTF-8/GBK), normalize the table, and import to XLSX/CSV

Normalize messy CSV before spreadsheet import.

  • Detects encoding (UTF-8/GBK) and delimiter automatically
  • Normalizes rows to a consistent column count
  • Exports normalized CSV, XLSX, or both

Example Results

1 examples

Detect and Normalize to CSV+XLSX

Auto-detect delimiter/encoding and export normalized CSV+XLSX with manifest

xlsx-csv-detect-normalize-example1.zip View File
View input parameters
{ "sourceFile": "/public/samples/csv/sample-utf8.csv", "sourceEncoding": "auto", "outputMode": "both", "outputDelimiter": "," }

Click to upload file or drag and drop file here

Maximum file size: 100MB Supported formats: text/csv, text/tab-separated-values, text/plain

Key Facts

Category
Conversion & Encoding
Input Types
file, select, text, checkbox
Output Type
file
Sample Coverage
4
API Ready
Yes

Overview

The XLSX CSV Detect Normalize tool streamlines data preparation by automatically identifying file encodings and delimiters, ensuring your messy datasets are cleaned and converted into consistent, ready-to-use spreadsheet formats.

When to Use

  • •When you encounter 'mojibake' or garbled text caused by incorrect file encoding like GBK or UTF-8.
  • •When your CSV file has inconsistent column counts that break standard spreadsheet imports.
  • •When you need to quickly convert raw, non-standard delimited data into a clean XLSX or standardized CSV format.

How It Works

  • •Upload your source CSV or TSV file to the tool.
  • •The system automatically detects the character encoding and delimiter, or you can manually override these settings.
  • •Configure your output preferences, such as trimming whitespace or defining a custom sheet name.
  • •Download your normalized data as a clean CSV, an XLSX file, or a ZIP package containing both.

Use Cases

Fixing legacy data exports that use non-standard delimiters or outdated character encodings.
Preparing raw system logs or database dumps for analysis in Excel.
Standardizing inconsistent CSV files from multiple sources into a uniform format for team collaboration.

Examples

1. Fixing Garbled Chinese Characters

Data Analyst
Background
A legacy system exported a report in GBK encoding, which appeared as garbled text when opened directly in Excel.
Problem
The file encoding was not recognized by standard spreadsheet software.
How to Use
Upload the file, set Source Encoding to 'GBK', and select 'XLSX Only' as the output mode.
Outcome
The tool correctly decoded the characters and provided a clean XLSX file with readable text.

2. Standardizing Inconsistent CSVs

Background
A CSV file contained rows with varying numbers of delimiters, causing data to shift into the wrong columns during import.
Problem
The file structure was malformed and inconsistent.
How to Use
Upload the file, enable 'Trim Whitespace', and ensure 'Treat First Row as Header' is checked.
Outcome
The tool normalized the row structure, resulting in a perfectly aligned table ready for spreadsheet analysis.

Try with Samples

csv, xlsx, xls
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FAQ

Does this tool support GBK encoding?

Yes, the tool supports automatic detection of GBK and UTF-8 encodings to ensure your data displays correctly.

Can I convert a CSV directly to XLSX?

Yes, you can select 'XLSX Only' in the output mode to convert your CSV file into a standard Excel workbook.

What happens if my CSV rows have different column counts?

The tool normalizes the data structure to ensure every row aligns with the header, preventing import errors in Excel.

Can I change the delimiter in the output file?

Yes, you can choose from common delimiters like commas, semicolons, tabs, or pipes for your output CSV.

Is there a limit to the file size I can upload?

The tool supports files up to 100MB for processing.

API Documentation

Request Endpoint

POST /en/api/tools/xlsx-csv-detect-normalize

Request Parameters

Parameter Name Type Required Description
sourceFile file (Upload required) Yes -
sourceEncoding select No -
outputMode select No -
outputDelimiter select No -
sheetName text No -
trimWhitespace checkbox No -
includeHeader checkbox No -

File type parameters need to be uploaded first via POST /upload/xlsx-csv-detect-normalize to get filePath, then pass filePath to the corresponding file field.

Response Format

{
  "filePath": "/public/processing/randomid.ext",
  "fileName": "output.ext",
  "contentType": "application/octet-stream",
  "size": 1024,
  "metadata": {
    "key": "value"
  },
  "error": "Error message (optional)",
  "message": "Notification message (optional)"
}
File: File

AI MCP Documentation

Add this tool to your MCP server configuration: 

{
  "mcpServers": {
    "elysiatools-xlsx-csv-detect-normalize": {
      "name": "xlsx-csv-detect-normalize",
      "description": "Auto-detect CSV delimiter/encoding (UTF-8/GBK), normalize the table, and import to XLSX/CSV",
      "baseUrl": "https://elysiatools.com/mcp/sse?toolId=xlsx-csv-detect-normalize",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}

You can chain multiple tools, e.g.: `https://elysiatools.com/mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp`, max 20 tools.

Supports URL file links or Base64 encoding for file parameters.

If you encounter any issues, please contact us at [email protected]