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What is Data Normalizer?

DataNormalizer is an AI tool designed for efficient data normalization. It enables users to clean inconsistencies in data within seconds using AI technology. With a capacity to process 100 rows for free upon signup, the tool offers 200 credits to streamline the normalization process.

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⭐ Data Normalizer Core features

  • ✔️ Normalize Data in Excel
  • ✔️ Normalize Data in Python
  • ✔️ Normalize Data in SQL
  • ✔️ Normalize Data in Login
  • ✔️ Fuzzy Match Levenshtein distance Model Fuzzy Search

⚙️ Data Normalizer use case ideas

  1. Efficiently clean and standardize large datasets in Excel using DataNormalizer's AI technology, saving time and ensuring data consistency across all rows and columns.
  2. Streamline the data cleaning process in Python by leveraging DataNormalizer to quickly identify and resolve inconsistencies, improving data quality and accuracy in scripts and applications.
  3. Normalize and standardize database records in SQL effortlessly with DataNormalizer, ensuring seamless integration and consistency in data-driven operations and analytics.

🙋‍♂️ Users of this tool

Data analysts
Data scientists
Business analysts
Dbas
Data engineers

💰 Data Normalizer Pricing

Prices are subject to change. Always verify pricing information.

Basic plan

$0

1.000 credits

9$

2.500 credits

19$

5.000 credits

34$
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❓ Data Normalizer FAQ

DataNormalizer is an AI tool that swiftly cleans data inconsistencies using AI technology. It supports normalization in Excel, Python, SQL, and more, with a capacity to process 100 rows for free.
Getting started with Data Normalizer is easy! Simply visit the official website and sign up for an account to start.
Data Normalizer uses a Freemium pricing model , meaning there is a free tier along with other options.
The typical users of Data Normalizer include:
  • Data analysts
  • Data scientists
  • Business analysts
  • Dbas
  • Data engineers
Yes, Data Normalizer provides an API that developers can use to integrate its AI capabilities into their own applications.
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