Data Cleaning Documentation for Google Sheets

Flookup Data Wrangler operates through the sidebar and AI-powered guidance.
Data Processing Functions cover fuzzy matching, deduplication, text standardisation, column profiling, enrichment, comparison and conditional formatting. They also bundle into one-click Workflow Templates for reconciliation and consolidation. You can also train Flookup to learn from examples.
Schedule Functions automate recurring workflows at 15-minute, hourly or daily intervals. Auto-chaining handles large datasets across execution windows.
Sheets AI Assistant adds AI-powered guidance in three modes. Recommendation Mode suggests formulas and cleaning steps. Execution Mode runs multi-step workflows automatically. AI Enrichment Mode adds AI context to any column at a flat cost of 10 credits.


Data Processing Functions

Open via Extensions > Flookup Data Wrangler > Data Processing Functions. Pick a function, configure parameters and process your data directly. All plans include these tools. Data Nova unlocks unlimited rows per run.
One-click Workflow Templates bundle these functions into ready-made reconciliation and consolidation jobs for Data Nova users.

Last updated: August 2026