Pricing
Free Plan
Coming Soon
Clean up to 200,00 rows of data per year. Great for businesses, professionals, and data teams testing out our service, or just beginning to clean and transform data for various use cases.
- Features
- Limited to 200,00 rows of data per year
- Clean, format, and normalize various types of data commonly found in CRM and ERP software, marketing automation software, ecommerce software, data warehouses, data analytics, BI, and more
- Clean data based on data type (e.g. person names, company names, job titles, email addresses, URLs, address data, currency and number data, text string data, and more)
- Find duplicate rows or records in your data based on one or multiple data fields, and exact or fuzzy matching
- Identify common errors in your data based on data type, such as mailing addresses with incorrect ZIP codes, or email addresses that are invalid
- Quickly and easily import your data in CSV format
- Choose which fields to clean and which fields to ignore
- Ensure your data stays private by processing data locally on your device with our desktop-only app. Your data remains on-device at all times, and is never shared with cloud providers, third parties, or our team.
- Available for Windows, MacOS, and Linux
- Process data quickly, with fast turn-around times on all lists of data
- Save your team time and effort by automating data cleansing tasks across different business areas, such as analytics, marketing, sales, operations, and more
Professional Plan
Coming Soon
Clean an unlimited number of rows of data per year. Designed for businesses and professionals that understand the value of data cleansing and improving data quality across their organization.
- Features
- Unlimited rows of data per year
- Clean, format, and normalize various types of data commonly found in CRM and ERP software, marketing automation software, ecommerce software, data warehouses, data analytics, BI, and more
- Clean data based on data type (e.g. person names, company names, job titles, email addresses, URLs, address data, currency and number data, text string data, and more)
- Find duplicate rows or records in your data based on one or multiple data fields, and exact or fuzzy matching
- Identify common errors in your data based on data type, such as mailing addresses with incorrect ZIP codes, or email addresses that are invalid
- Quickly and easily import your data in CSV format
- Choose which fields to clean and which fields to ignore
- Ensure your data stays private by processing data locally on your device with our desktop-only app. Your data remains on-device at all times, and is never shared with cloud providers, third parties, or our team.
- Available for Windows, MacOS, and Linux
- Process data quickly, with fast turn-around times on all lists of data
- Save your team time and effort by automating data cleansing tasks across different business areas, such as analytics, marketing, sales, operations, and more