The recurring problem
Why make this a workflow?
Exported data often contains whitespace, duplicates, mixed case, blank rows, tracking parameters, or malformed values. One-off spreadsheet cleanup is difficult to reproduce and review.
Operations & migration
Replace fragile copy-paste sequences with a repeatable pipeline: import locally, select values, normalize, validate, deduplicate, compare, and export in the target format.
The recurring problem
Exported data often contains whitespace, duplicates, mixed case, blank rows, tracking parameters, or malformed values. One-off spreadsheet cleanup is difficult to reproduce and review.
Inspectable pipeline
Read TXT, CSV, or JSON in the browser and inspect the row count before processing.
Extract the required field, trim whitespace, normalize case, and remove empty values.
Filter values using deterministic patterns appropriate to emails, URLs, IDs, or allowed codes.
Keep stable first occurrences and compare against a suppression, existing, or reference list.
Download a reviewed TXT, CSV, or JSON result without uploading the source dataset.
Input sketch
[email protected] [email protected] invalid@localhost [email protected]
Reviewed output
[email protected] [email protected] 2 unique valid-looking addresses
See which operation changed the count rather than hiding logic in a formula chain.
Share the cleanup method while excluding contact or customer data.
Apply the same verified sequence to the next export.
Extract one column from CSV, TSV, semicolon, or pipe-delimited data online. Select by header name or column number with quoted-field support.
Extract email addresses from pasted text, logs or HTML. Lowercase and remove duplicates, then copy or download a clean list without uploading your source text.
Remove duplicate lines from a list while preserving the original order. Ignore case, trim whitespace, and clean empty lines instantly in your browser.
Compare two lists online. Find common items and values missing from either list, ignore case, and copy the results for Excel columns, names, IDs or URLs.
Yes. Studio reads supported files locally and can extract or process values without an upload.
No. It removes matching list values; entity-resolution and record merging need explicit business rules.
Yes. Export or share a Recipe containing only operations and options, then provide the dataset separately through an approved channel.
Load the recommended deterministic steps, inspect every option, and run them against your own browser-local data.
Load this RecipeYour privacy choices
Core list tools run locally. Optional providers load only after you choose. We never send your list contents, outputs, filenames, or recipe data to analytics.
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