Structured formula builder
Task, table context, target range, and function hint keep the request specific.
Text formula generator
Describe the text cleanup job, paste sample values, and get a formula for splitting names, extracting domains, joining fields, removing extra spaces, or replacing text.
Request
Guest mode includes 2 tries. Founding access is $9 for 500 runs per month in this browser.
Purpose-built inputs
Task, table context, target range, and function hint keep the request specific.
Generate a new formula, translate a pasted one, or diagnose common syntax issues.
Compatibility notes call out modern functions and platform-specific behavior.
The result is formatted for scanning and placed next to a copy button.
Common formulas
Build percent of total, percent change, discount, markup, tax, tip, and completion-rate formulas.
Scan common lookup, logic, text, date, and summary formulas with examples.
Create due dates, workday counts, month-end dates, date differences, and overdue checks.
Return matching rows for status, region, date, text, and threshold conditions.
Split, extract, join, trim, clean, and replace text from messy imported cells.
Block bad IDs, duplicate values, missing fields, and invalid entries with custom TRUE/FALSE rules.
Build QUERY formulas for filtering, selecting, sorting, grouping, and labeling Sheets data.
Create margin, average price, variance, and ratio formulas that use pivot source field names.
Highlight overdue rows, missing values, duplicates, and status changes with custom TRUE/FALSE rules.
Return matching values with separate lookup and return ranges.
Build flexible lookup formulas for left lookups, two-way lookups, and older Excel files.
Total rows that match status, date, category, customer, or region rules.
Count rows across multiple text, number, and date conditions.
Use case
Build formulas that transform messy imported text into useful fields without manual copy, split, or find-and-replace work.
Use this page when imported spreadsheet text needs to be split, cleaned, joined, extracted, or normalized. It is especially useful for email domains, product codes, first and last names, address fragments, labels, and copied CRM exports.
Do not rely on one perfect-looking sample. Text formulas can break when later rows contain missing delimiters, double spaces, punctuation differences, or values that look like numbers but are stored as text.
For email addresses in A2:A500, a Google Sheets formula can extract the domain after the @ symbol.
=REGEXEXTRACT(A2,"@(.+)$")
The formula reads the email address in A2, captures the text after @, and returns the domain so the formula can be filled down.
Upgrade when the work piles up
Try twice as a guest. Free accounts get 3 runs per week plus a monthly product email. Upgrade when formula work becomes a recurring part of the week.
500 formula runs per month in this browser, early access pricing, and account access as it ships. Stripe redirects you back after payment.
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