# Data Cleaner

Clean and standardize data by fixing spelling errors, standardizing formats, removing duplicates, and filling missing values

> Canonical page: https://elysiatools.com/en/tools/data-cleaner

- **Category:** Data Processing

- **Keywords:** data, clean, standardize, format, spell, fix, normalize, duplicate, missing

## Overview

The Data Cleaner is a powerful utility designed to streamline your data management by automatically fixing spelling errors, normalizing formats, removing duplicates, and filling in missing values to ensure your datasets are consistent and ready for analysis.

## Inputs

- **Input Data** (textarea): Enter your data to clean, one record per line...
- **Input Format** (select)
- **Fix Spelling Errors** (checkbox)
- **Standardize Data Formats** (checkbox)
- **Remove Duplicate Records** (checkbox)
- **Fill Missing Values** (checkbox)
- **Trim Whitespace** (checkbox)
- **Remove Empty Records** (checkbox)
- **Custom Separator** (text): Custom separator for CSV/TSV/SSV formats
- **Output Format** (select)
- **Text Case Style** (select)
- **Date Format Standardization** (select)
- **Number Format Standardization** (select)

## When to use

- When preparing raw datasets for import into spreadsheets or database systems.
- When merging multiple data sources that contain inconsistent formatting or duplicate entries.
- When cleaning up exported logs or lists that require standardized text casing and date formats.

## How it works

- Paste your raw data into the input field and select the appropriate input format (e.g., CSV, JSON, or line-by-line).
- Toggle the specific cleaning options you need, such as removing duplicates, trimming whitespace, or fixing spelling errors.
- Configure your preferred output settings, including text case styles, date formats, and number standardization.
- Click process to generate your cleaned data in your chosen output format, such as a formatted table or JSON.

## Use cases

- Standardizing customer contact lists by normalizing phone number formats and removing duplicate entries.
- Cleaning up messy survey results by fixing spelling errors and converting all text to a consistent case.
- Preparing financial data exports by standardizing decimal separators and filling in missing values for accurate reporting.

## Frequently asked questions

### Can I process CSV files with this tool?

Yes, select 'CSV' as your input format and specify a custom separator if your file uses something other than a standard comma.

### Does the tool automatically detect date formats?

Yes, the tool includes an 'Auto Detect' feature for date standardization, or you can manually select a specific format like YYYY-MM-DD.

### Will this tool remove empty rows from my data?

Yes, by enabling the 'Remove Empty Records' option, the tool will automatically filter out blank lines or rows from your input.

### Can I change the casing of my text data?

Yes, you can use the 'Text Case Style' setting to convert your data to lowercase, uppercase, title case, or sentence case.

### Is my data stored on your servers?

No, this tool processes your data locally in your browser to ensure your information remains private and secure.

## Related tools

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## Samples

- [Duplicate Line Samples](https://elysiatools.com/en/samples/text-duplicate-line-samples): Sample files with various types of duplicate lines for testing duplicate removal tools
- [Regex Replace Samples](https://elysiatools.com/en/samples/regex-replace): Collection of common and useful regex replacement patterns for text transformation and data cleaning
- [Windows String Processing - C# Samples](https://elysiatools.com/en/samples/windows-string-processing-csharp): Comprehensive C# string processing examples for Windows platform including string manipulation, splitting, joining, regex operations, and text analysis
- [CSV Samples](https://elysiatools.com/en/samples/csv-samples): Sample CSV files with various data types, sizes, and complexity levels