Mystrika
Clean Spreadsheets cleans, standardizes, and parses messy customer data from spreadsheets in three easy steps. It handles addresses, names, emails, dates, and more with intelligent parsing and geocoding.
Clean Spreadsheets is a focused data cleaning and enrichment tool designed to turn messy spreadsheet data into clean, usable information in minutes. Positioned as a lightweight utility for go-to-market teams, it excels at parsing and standardizing complex data types like addresses, names, emails, dates, and currencies. Unlike broader data platforms, Clean Spreadsheets zeroes in on the specific pain point of spreadsheet hygiene, making it a practical addition to any sales or marketing stack that relies on accurate contact data.
The tool's core strength lies in its simplicity. Users upload a spreadsheet or CSV, select the data type and columns to clean, review a sample, and download the cleaned file -- all in three steps. Behind this straightforward interface, Clean Spreadsheets uses intelligent parsing to break down names into components (prefix, first, middle, last, suffix), geocode addresses to latitude/longitude, and correct email formats. It also enriches company data and applies multiple AI note algorithms in the Pro tier. The REST API extends these capabilities to automated workflows, allowing teams to clean data programmatically without manual file uploads.
Pricing follows a credit-based model with two tiers. The Basic plan costs $10 for 10,000 credits ($0.0010 per credit) and includes open-source address data, name parsing, email correction, and currency standardization. The Pro plan costs $50 for 10,000 credits ($0.0050 per credit) and adds proprietary address data, email verification, full company enrichment, and AI note algorithms. Every account receives 250 free Pro credits to start, and there is no monthly subscription -- you only pay for what you use. This makes it accessible for occasional cleaning tasks but potentially costly for high-volume needs.
Clean Spreadsheets is best suited for universities, agencies, startups, and small to medium businesses that regularly handle imported contact lists, event registrations, or CRM uploads. It shines when you need to quickly standardize a batch of international addresses, split full names into structured fields, or verify email formatting before a campaign. The tool integrates well as a data prep layer before data enters a CRM or email marketing platform, and the API allows engineering teams to embed cleaning directly into data pipelines.
That said, Clean Spreadsheets is not a replacement for a full data quality platform or a CRM. It does not offer deduplication, advanced analytics, or visualization. Its value is narrow but deep: if your primary challenge is cleaning and enriching spreadsheet data without writing code or hiring a data engineer, this tool delivers efficiently. The intermediate learning curve is manageable, and the free trial lets you test before committing.
Overall, Clean Spreadsheets earns its place as a practical, no-frills solution for spreadsheet data hygiene. It solves a common but frustrating problem with a clean user experience and transparent pricing. For teams that need to clean customer data in three steps and move on, it is a solid choice.
Features
- Clean, standardize, and parse data
- Clean and geocode worldwide addresses
- Upload spreadsheets or CSV files
- Choose data type and columns
- Download cleaned data files
- Secure and GDPR compliant
- Intelligent parsing for names, companies, dates, emails, phones, currency, notes
- REST API for programmatic cleaning
- Data encryption in transit and at rest
- On-premise installation option
Pricing
Pros
- Three-step process makes data cleaning fast and intuitive
- Handles a wide variety of data types including addresses, names, emails, and dates
- Free 250 Pro credits to start with no credit card required
- REST API enables automation and integration into existing workflows
- Strong data security and GDPR compliance
Cons
- Not a full CRM or analytics platform; limited to spreadsheet cleaning and enrichment
- Credit-based pricing can become expensive for very large datasets
- Intermediate learning curve for users unfamiliar with data cleaning concepts
Industries
Best For
Universities, agencies, startups, and small businesses needing quick spreadsheet data cleaning and enrichment.