RowLoom - 2026 Pricing, Features, Reviews & Alternatives

RowLoom is a web-based CSV data cleaning and reformatting utility that transforms inconsistent, messy CSV exports from suppliers, banks, and clients into properly formatted datasets. The tool removes irregular formatting, normalizes data types, and addresses extraneous whitespace and structural inconsistencies. It operates entirely online without requiring software installation or development of macros, enabling immediate data cleaning capabilities with minimal IT infrastructure overhead.

Two operation modes support distinct user workflows. Quick Clean mode accepts a CSV upload, applies column specific cleaning operations, and returns a cleaned file without account creation or saved configurations. Uploaded files in this mode are retained for two hours and then automatically deleted. Saved Schema mode permits registered users to define reusable target schemas that specify expected column structures and formatting rules. These schemas can include custom mappings, column splits, column merges, and are automatically applied to future imports of similarly structured files.

Column level operations include trimming whitespace, enforcing decimal precision for numeric values, standardizing date formats, formatting phone numbers, stripping currency symbols, normalizing boolean representations, and performing custom value mappings. Splitting a single source column into multiple target fields and combining two source columns into one field address cases such as separating debit and credit amounts. Rows that fail validation are omitted from the output while a detailed report lists each skipped row with failure reasons.

Anonymous users can process files up to two megabytes or five thousand rows while registered accounts support files up to five megabytes or ten thousand rows. Users may migrate a Quick Clean setup into a Saved Schema by creating a free account and preserving the initial configuration. The platform functions as a standalone transformation utility without direct integrations or API access. All file processing is conducted on demand through the web interface with defined retention windows to prevent indefinite storage of source data.