Data Cleaner is a modern web-based platform designed to automate and simplify data cleaning tasks for individuals and businesses. Instead of manually fixing messy datasets, you can use Data Cleaner�s AI-enhanced tools to detect and correct common data issues like duplicates, missing values, inconsistent formats, and outliers. Its intuitive interface makes it accessible even for non-technical users, while advanced options cater to data scientists and analysts who need precise control. Whether working on CRM data, academic research, or preparing inputs for machine learning models, Data Cleaner saves significant time. It helps ensure your data is accurate, standardized, and ready for deeper analysis, decision-making, or direct reporting. 
    Data Cleaner Review Summary   Performance Score
 A
 Content/Output Quality
 Clean, Standardized, Analysis-Ready
 Interface
 Clean and User-Friendly
 AI Technology
    - Data Normalization
  - Duplicate Detection
  - Outlier Identification
  
   Purpose of Tool
  Automate data cleaning for accurate, consistent, and reliable datasets 
 Compatibility
 Web-Based
 Pricing
  Free access with paid plans starting at $9/month 
     Who is Best for Using Data Cleaner?
   -  Data Analysts: Quickly clean and organize datasets for reliable analysis, reporting, and predictive modeling without manual intervention. 
  -  Marketers: Ensure lead lists, CRM records, and customer databases are clean, accurate, and ready for targeted campaigns. 
  -  Researchers: Prepare survey results, scientific datasets, and experimental data for accurate statistical analysis and visualization. 
  -  Small Business Owners: Manage customer databases, vendor lists, and sales records with minimal errors and consistent formatting. 
  -  Machine Learning Engineers: Preprocess training datasets to remove noise, fix missing values, and normalize features automatically. 
  
    Data Cleaner Key Features    Duplicate Data Removal 
  Missing Values Identification and Filling 
 Outlier Detection and Management
  Format Standardization (Dates, Numbers, Text) 
  Data Normalization for Analysis 
 Batch Processing for Large Files
  Customizable Cleaning Rules 
  Export Cleaned Data in Multiple Formats 
  No-Code Interface for Non-Technical Users 
     Is Data Cleaner Free?
 Data Cleaner offers a free plan with basic features. Paid plans unlock advanced functionality:
   -  Free Plan � $0/month: Basic duplicate removal, Limited dataset size, Export cleaned data 
  -  Standard Plan � $9/month: Larger datasets up to 100,000 records, Format standardization tools, Missing value imputation, Outlier detection features 
  -  Pro Plan � $29/month: Unlimited dataset size, Batch data cleaning workflows, Custom rule creation, Priority support 
  
  Data Cleaner Pros & Cons
      Simplifies complex data cleaning tasks for beginners and experts alike 
  Handles large datasets with batch processing capabilities 
  Supports custom rule creation for specialized cleaning workflows 
  No technical skills required to start cleaning data quickly 
  Affordable plans suitable for individuals and businesses 
        Some advanced features require a paid subscription 
  Limited integration options with third-party tools 
  No real-time collaboration on datasets yet 
  Free plan has record count limitations 
  Outlier detection may need manual review for sensitive datasets