DataNormalizer
Automatically clean and standardize inconsistent data entries

Target Audience
- Data analysts
- Business operations teams
- Data migration specialists
Hashtags
Overview
DataNormalizer uses AI to fix common data entry errors in spreadsheets and CSV files. It corrects typos, standardizes formats, and resolves inconsistencies like 'Coop' vs 'Co-op'. Saves hours of manual cleanup work for businesses and analysts working with messy data. Essential for preparing datasets for analytics or system migrations.
Key Features
AI Error Correction
Fixes typos and spelling mistakes automatically
Format Standardization
Converts varied formats to consistent styles
Synonym Resolution
Recognizes equivalent terms like 'Attorney'/'Lawyer'
Bulk Processing
Handles datasets up to millions of rows
Multi-Format Support
Works with CSV and Excel files seamlessly
Use Cases
Prepare datasets for analytics
Fix inconsistent customer data
Clean migration-ready spreadsheets
Correct CSV formatting errors
Pros & Cons
Pros
- AI-powered error detection for complex inconsistencies
- Scalable processing for enterprise-level datasets
- Flexible usage-based pricing model
- Supports both CSV and Excel formats
Cons
- Free plan limited to 25 rows per file
- No native integration with databases/cloud storage
- Limited to structured data formats (CSV/Excel)
Pricing Plans
Free
Free testingFeatures
- Up to 25 rows per file
- CSV format
- Low processing priority
1.000 Credits
one-timeFeatures
- Unlimited rows
- CSV/Excel format
- Fastest processing
Pricing may have changed
For the most up-to-date pricing information, please visit the official website.
Visit websiteFrequently Asked Questions
What file formats does DataNormalizer support?
Supports CSV and Excel formats
Is there a free version?
Yes, free plan allows processing up to 25 rows per file
How does credit pricing work?
1 credit = 1 row processed, with bulk discounts available
Reviews for DataNormalizer
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