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In five minutes you will import a list of leads, clean up the messy company names, and export the result. You don't need any API keys, and it costs nothing.

⏱ About 5 minutes🔑 No keys neededUpdated October 2026

What you will do

Import 18 made-up solar installers, turn SUNBRIGHT ENERGY LLC into Sunbright Energy on every row, and download the cleaned list. The same steps work for any list and for every other kind of enrichment.

↓ Download sample-leads.csv

Open the app and choose how to start

Go to app.stacksushi.com. You will see the sign-in screen. You have two ways to begin:

1 Create account. Enter your email and a password. We send a confirmation link: click it, then sign in. Prefer no password? Choose Email me a sign-in link instead. Tables saved in an account are there on every device.
2 Continue without an account. Try the app straight away. Your tables are saved only in this browser. You can move them to an account later: the app offers a Move to my account button when you sign in.

The Stacksushi sign-in screen with the Create account tab and the Continue without an account link marked — The sign-in screen. Either choice works for this guide.

Tip

If you plan to keep your data, create an account. A table saved only in one browser is lost if you clear that browser's data.

Import a list

You start on the Your tables screen, which is empty the first time. Click 1 Import a CSV and choose sample-leads.csv. (No file handy? Try sample data loads a small example instead.)

The empty Your tables screen with the Import a CSV button marked — The first time you open the app there are no tables yet.

A new table opens, and a message confirms: Added 18 rows and 6 new columns. The first line of your file becomes the column names.

Look around your table

Each row is a lead and each column is a detail about it. Along the top you will see the table name, how many rows and columns it has, and whether it is saved. Under that is the toolbar: + Add enrichment, + Row, search, Filters, Columns and Views. Remove duplicates, Import CSV and Export CSV are on the right.

The imported table with 18 rows and the Add enrichment button marked — Your imported list. Names are in capitals, phone numbers are in every shape and company names carry LLC and Inc.

An enrichment adds a new column next to your data and fills it in. Your original columns are never changed. Click 1 + Add enrichment.

Pick an enrichment

A palette opens with everything you can add. Type in the 1 search box to find one fast, or browse the groups on the left:

Clean data: fixes names, companies, emails, phone numbers and web addresses. Free, instant and no keys.
Formulas: describe a change in plain English and a formula is written for you.
AI: ask a question about each row. Uses your own AI key.
Integrations: Apollo, Findymail, Prospeo and others. Add your key and go.
API & combine: call any API, look up another sheet, send rows elsewhere, or build an email waterfall.

The Add an enrichment palette with the search box and the Clean data group marked — The enrichment palette. 2 marks the **Clean data** group.

Open 2 Clean data and choose Clean company name. Cleaning runs in your browser, so nothing is sent anywhere.

Set it up

A panel slides in from the right. For a cleaning step there is almost nothing to decide:

1 Column name: what the new column will be called. Keep the suggestion or type your own.
2 Clean which column? Stacksushi guessed Company. Change it if it guessed wrong.
The Preview shows the first three rows before and after. Nothing has changed yet, so this is a safe place to check.
3 Click Create column.

The cleaning column panel with the column name, the source column and the Create column button marked — The preview shows *Sunbright Energy*, *Bright Path Solar* and *Raman Power* before you run anything.

Later

Run if… skips rows that don't match a rule, and Auto-update runs the column by itself whenever new rows arrive. Both are covered in the guide on running columns.

Run it

The Run window opens straight away. It asks two questions:

1 Which rows? Choose Test on 1 row, The first N rows, Selected rows or All rows. For a free cleaning step, pick All 18 rows.
Which cells? The default, Only empty cells, skips anything already filled, so running again never overwrites earlier results.

Click 2 Run.

The Run window with the All 18 rows choice and the Run button marked — The Run window. It also tells you how many cells will run.

Good habit

When a step uses your own AI or API key, start with Test on 1 row. You see the result and the cost of one row before you run a thousand.

Check the result

The new column fills in and its header says 18 filled. SUNBRIGHT ENERGY LLC is now Sunbright Energy, bright path solar, inc. is Bright Path Solar, and the sunrise solar co is Sunrise Solar. The original Company column is untouched.

The table with the new Clean_company_name column filled in and its header marked — The cleaned column sits beside the original.

Not happy with it? Click Undo last run at the top and the cells go back to how they were.

Export your list

Click 1 Export CSV at the top right. You get a CSV of the rows currently shown (all of them, unless you have filtered), including your new column. Open it in Excel, Google Sheets or upload it to your outreach tool.

The top of the table with the Export CSV button marked — Export CSV, top right.

Where to go next

You have used the whole loop: import → add an enrichment → run → export. Everything else in Stacksushi is a different enrichment in step 4. To get a feel for it, try these on the same table:

Clean email on the Email column. Row 12 holds not-an-email, so its result is left blank.
Phone (US format) on Phone turns five different layouts into (555) 010-0123.
Website → domain on Website turns https://www.sunbright.example/about into sunbright.example.
Clean person name on Name turns ALVAREZ, MARIA into Maria Alvarez.

More guides are on the way: finding things in a big table, AI and API columns, the work-email waterfall, API keys, and plans and billing.

Stuck, or something looks wrong? Email support@stacksushi.com and tell us what you clicked and what you saw. A screenshot helps a lot.