2026년 6월 30일

Data Normalizer

AI-powered tool to normalize and standardize data, fixing inconsistencies and errors automatically.
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개요
Data Normalizer는 무엇인가요?

DataNormalizer is an AI-powered tool designed to normalize and standardize data in seconds. It helps fix in

AI-powered tool to normalize and standardize data, fixing inconsistencies and errors automatically.

핵심 기능
AI-powered data normalization
Inconsistent spelling correction
Typos and formatting cleanup
Abbreviation standardization
CSV and Excel format support
주요 사용 사례
  • 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)
사용 방법
  • 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.
가격
Data Normalizer는 Freemium 가격 모델을 사용합니다. 가격과 기능은 시간이 지나며 바뀔 수 있습니다.
Free
$0
Up to 25 rows per file, Low processing priority, CSV format
1.000 Credits
$12
Unlimited rows, Fastest processing, CSV and Excel format, Free reprocessing on errors, 1 row = 1 credit
5.000 Credits
$29
Unlimited rows, Fastest processing, CSV and Excel format, Free reprocessing on errors, 1 row = 1 credit
10.000 Credits
$49
Unlimited rows, Fastest processing, CSV and Excel format, Free reprocessing on errors, 1 row = 1 credit
25.000 Credits
$99
Unlimited rows, Fastest processing, CSV and Excel format, Free reprocessing on errors, 1 row = 1 credit
100.000 Credits
$249
Unlimited rows, Fastest processing, CSV and Excel format, Free reprocessing on errors, 1 row = 1 credit
1.000.000 Credits
$990
Unlimited rows, Fastest processing, CSV and Excel format, Free reprocessing on errors, 1 row = 1 credit
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