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.

⭐ Data Normalizer key features & benefits

Data Normalizer offers a variety of features and benefits that make it a top choice for various users. These are some of the key features:

  • ✔ī¸ Normalize Data in Excel.
  • ✔ī¸ Normalize Data in Python.
  • ✔ī¸ Normalize Data in SQL.
  • ✔ī¸ Normalize Data in Login.
  • ✔ī¸ Fuzzy Match Levenshtein distance Model Fuzzy Search.

⚙ī¸ Data Normalizer use cases and applications

  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.

🙋‍♂ī¸ Who uses Data Normalizer?

Data Normalizer is used by and benefiting different user groups including but not limited to some of the following users:

Data analysts
Data scientists
Business analysts
Data engineers

💰 Data Normalizer Pricing

Data Normalizer offers a Freemium pricing model. You can use the tool for free with some restrictions and limitations and upgrade to a paid plan when you are ready.

Data Normalizer pricing packages

  • Basic plan plan : $0
  • 1.000 credits plan : 9$
  • 2.500 credits plan : 19$
  • 5.000 credits plan : 34$

** Pricing packages are subject to change. Always verify pricing information here

ℹī¸ Find more & support

Data Normalizer provides an API that developers can use for programmatic access which makes it easy to integrate it with other tools or within your own applications.

You can also find more information, get support and follow Data Normalizer updates on the following channels:

How do you rate Data Normalizer?

5 1 ratings

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