
What is DataNormalizer?
DataNormalizer is an AI-powered tool designed to normalize and standardize data in seconds. It helps fix inconsistent data, spelling mistakes, and abbreviations automatically. It cleans up inconsistent spelling, typos, and formatting in data, supporting both CSV and Excel formats.
How to use DataNormalizer?
Users can upload their data files (CSV or Excel) to the DataNormalizer platform. The AI will then automatically clean and normalize the data, correcting typos, inconsistencies, and formatting errors. The processed data can then be downloaded.
DataNormalizer’s Core Features
AI-powered data normalization Inconsistent spelling correction Typos and formatting cleanup Abbreviation standardization CSV and Excel format support
DataNormalizer’s Use Cases
- Fixing data errors from manual input
- Standardizing inconsistent formatting (e.g., Coop vs Co-op)
- Correcting shortcuts (e.g., Limited vs Ltd.)
- Fixing spelling mistakes (e.g., serbices vs services)
- Standardizing inconsistent capitalization (e.g., Apple vs APPLE)
- Handling synonym variations (e.g., Attorney vs Lawyer)
- Resolving number formatting discrepancies (e.g., 1,000 vs 1000 vs 1k)
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