Data Normalizer

Fix Manual Input Errors

Data Normalizer automatically corrects typos, shortcuts, and different spellings that result from manual data entry. It handles inconsistent formatting (Coop vs Co-op), shortcuts (Limited vs Ltd.), spelling mistakes (serbices vs services), inconsistent capitalization (Apple vs APPLE), synonym variations (Attorney vs Lawyer), and number formatting discrepancies (1,000 vs 1000 vs 1k).

Achieve consistent, error-free data without manual review.

Normalize Data in Seconds with AI

The tool uses AI to clean up inconsistent data and automatically correct errors that machines typically cannot recognize. It processes rows quickly, delivering results in seconds, and has already handled more than 10,000,000 rows.

Save time and resources by automating data normalization at scale.

CSV and Excel Format Support

Data Normalizer supports both CSV and Excel formats for paid plans, while the free plan includes CSV format. This allows you to upload and process your data files directly without needing to convert them.

Work seamlessly with your existing data files in common formats.

Pay-As-You-Go Credit System

The tool offers a free plan with up to 25 rows per file and low processing priority. Paid plans start at $12 for 1,000 credits (1 row = 1 credit), with options up to 1,000,000 credits for $990. All paid plans include unlimited rows, fastest processing, CSV and Excel support, and free reprocessing on errors.

Scale your data normalization needs with flexible, affordable pricing.

Enterprise Plans and Student Discounts

Data Normalizer offers enterprise plans and student discounts, which can be requested by contacting hi@data-normalizer.com. This makes the tool accessible for both large organizations and individual learners.

Get tailored pricing and support for your specific needs.

API for Integration

Data Normalizer provides an API, allowing you to integrate its data normalization capabilities directly into your own applications and workflows. This enables automated data cleaning within your existing systems.

Streamline your data pipelines with programmatic access.

• AI-Powered Data CleaningDataNormalizer uses AI to automatically correct typos, shortcuts, spelling mistakes, inconsistent capitalization, synonym variations, and number formatting discrepancies. It handles manual input errors that machines typically can't recognize, such as 'Coop vs Co-op', 'Limited vs Ltd.', 'serbices vs services', 'Apple vs APPLE', 'Attorney vs Lawyer', and '1,000 vs 1000 vs 1k'.
• Flexible Pricing with Free TierStart for free with no credit card required. The free plan allows up to 25 rows per file with CSV format. Paid plans start at $12 for 1,000 credits (1 row = 1 credit), with options up to 1,000,000 credits for $990. All paid plans include unlimited rows, fastest processing, CSV and Excel format support, and free reprocessing on errors.
• Proven Scale and ReliabilityDataNormalizer has processed more than 10,000,000 rows, demonstrating its ability to handle large datasets. The tool delivers results in seconds, making it suitable for both small tests and enterprise-scale data normalization tasks.
• API and Enterprise OptionsDataNormalizer offers an API for integration into your own workflows. Enterprise plans and student discounts are available by contacting hi@data-normalizer.com, providing flexibility for organizations with custom needs.

• Limited Format Support on Free PlanThe free plan only supports CSV format and limits files to 25 rows. If you need Excel format or larger files, you must upgrade to a paid plan. This may not be suitable for testing with real-world datasets that are larger or in Excel format.
• Credit-Based Pricing ModelPricing is based on credits where 1 row = 1 credit. While the cost per credit decreases with larger packages, you must estimate your row volume carefully. There is no mention of a subscription model, so you pay per credit block, which may not be ideal for ongoing or unpredictable data volumes.
• No Explicit Data Security or Compliance DetailsThe website does not provide information about data security measures, GDPR compliance, or where data is stored. If you handle sensitive data, you should contact the company to clarify these aspects before using the service.
• Limited Integration and Export OptionsThe site mentions API access but does not list specific integrations with other tools (e.g., CRM, databases). Also, the free plan only supports CSV, and paid plans add Excel, but there is no mention of other export formats like JSON or SQL. Verify if your required formats are supported.

Fix Manual Entry Errors

DataNormalizer automatically corrects typos, shortcuts, and spelling inconsistencies from manual input, such as 'serbices' to 'services' or 'Ltd.' to 'Limited'.

Standardize Formatting

Normalize inconsistent formatting like 'Coop' vs 'Co-op', capitalization differences ('Apple' vs 'APPLE'), and number formatting discrepancies ('1,000' vs '1000' vs '1k').

Handle Synonym Variations

Resolve synonym variations in your data, such as 'Attorney' vs 'Lawyer', to ensure consistent terminology across your datasets.

Process Large Datasets

With support for over 10,000,000 rows processed and credit-based pricing (1 row = 1 credit), DataNormalizer handles unlimited rows with fast processing for CSV and Excel files.

Sign up for a free account and connect your cloud storage bucket.

Select a template rule set or create a custom rule using the low‑code editor.

Run a test job on a sample file and review the quality dashboard.

Schedule regular cleaning jobs or integrate the API into your ETL pipeline.