Category
GTM Data Orchestration
Key features
Name and company name parsing
Address cleaning and geocoding
Phone, date and currency standardization
01 — Overview
What is
Clean Spreadsheets
Clean Spreadsheets automatically cleans, standardizes and splits messy data in spreadsheets, including names, company names, addresses, phone numbers, emails, dates and currencies, and can geocode worldwide addresses. You upload an Excel, CSV or text file, pick the data type for each column and download the cleaned output, or call the same cleaning through a REST API. RevOps and marketing teams use it to tidy lead and customer lists before CRM imports or outreach.
02 — Who it’s for
Ideal Customer Profile
Suited to small businesses, startups, agencies and operations teams that regularly handle messy contact or customer lists and want them cleaned without manual work.
03 — Capabilities
Key Features
Name and company name parsing
Address cleaning and geocoding
Phone, date and currency standardization
Keyword extraction from text fields
Excel and CSV file upload
Confidence score per value
REST API
05 — Similar tools
Alternatives
06 — FAQ
Frequently Asked Questions
What is Clean Spreadsheets used for?
It cleans and formats hard to handle data in spreadsheets, such as names, company names, addresses, phone numbers, dates and currencies, and splits each value into its components.
Can Clean Spreadsheets geocode addresses?
Yes. It cleans worldwide addresses, splits them into parts and geocodes them, with a more detailed option for higher accuracy and extra enrichment.
What file types does Clean Spreadsheets accept?
You can upload Excel, CSV or text files, and each cleaned column can be downloaded on its own or as part of the full file.
Does Clean Spreadsheets have an API?
Yes. A REST API accepts POST requests over HTTPS with your API key and returns the cleaned value, its components and a confidence score for each record.