The short answer

The Barclays file has 6 columns, dates written as DD/MM/YYYY and one signed amount column. The CSV written for Wave has the columns Date,Description,Amount. So the date is rewritten as MM/DD/YYYY, the amount is written as one signed number, and the text columns are moved as in the table below.

Paid profile. The free manual column mapper works for any bank, this one included, but the free version writes only the first 25 converted rows of a file. The 9 USD one-time licence adds the ready-made Barclays profile (one of the 35 paid profiles) and removes the 25-row limit. The column table on this page is free to read and can be used to fill in the manual mapper.

Open the converter

The converter runs in your browser. Your file is not uploaded.

What the Barclays CSV looks like

Note kept with this layout in the profile data: Six columns with a header row. Column 5 (imported as a tag by the source) is treated as a transaction type label.

What Wave accepts

The file the converter writes for Wave: Date,Description,Amount
Wave columnRequired by WaveFilled from the Barclays file
Daterequiredcolumn 2
Descriptionrequiredcolumn 6
Amountrequiredcolumn 4

From a web search excerpt of the vendor's help page (the page itself refuses automated reading; re-check it in a browser): "To import properly, your CSV file must have three or four columns: date, amount of the transaction (all in one column, or one column each for deposits and withdrawals), and description."

Column-by-column mapping

Every column of the Barclays file, left to right, and where it ends up in the Wave file.

ColumnHeader textWhat it holdsWhere it goes in the Wave file
1not given by the sourceNot usedNot copied
2not given by the sourceTransaction dateDate, rewritten as MM/DD/YYYY
3not given by the sourceAccount or card identifierNot copied
4not given by the sourceAmount, signed (negative is money out)Amount, sign kept (money out is negative)
5not given by the sourceTag or type labelNot copied
6not given by the sourceDescriptionDescription

Pitfalls for Barclays to Wave

Dates

Amounts and their direction

Other Wave import rules

Before and after: an invented example

Invented sample data. These four rows were made up for this page. They are not from a real Barclays export and hold no real account, name or balance.

The source gives column positions only, so the headings below are the column number and what the column holds, not the bank's header text. The 1 unused column of the file is left out of the table.

Before: rows laid out like the Barclays file
2: transaction date3: account or card identifier4: amount5: tag or type label6: description
04/03/20240000-4.50sampleCOFFEE CORNER MAIN ST
05/03/202400002500.00samplePAYROLL EXAMPLE CO
07/03/20240000-1234.56sampleRENT MARCH
11/03/2024000015.25sampleREFUND EXAMPLE SHOP
After: the same rows as a Wave file (Date,Description,Amount)
DateDescriptionAmount
03/04/2024COFFEE CORNER MAIN ST-4.50
03/05/2024PAYROLL EXAMPLE CO2500.00
03/07/2024RENT MARCH-1234.56
03/11/2024REFUND EXAMPLE SHOP15.25

Do it by hand in a spreadsheet, free

These steps need no tool from this site. The cell references follow the column positions of the profile above; if your spreadsheet uses semicolons between formula arguments, replace the commas.

  1. Open the Barclays CSV in a spreadsheet program through its import dialog. Set the date column (column 2) to Text so the program does not reinterpret it, and leave the amount columns as numbers.
  2. Row 1 is the header and the transactions start in row 2.
  3. Date: rewrite column B from DD/MM/YYYY to MM/DD/YYYY (04/03/2024 becomes 03/04/2024). In a new column, for the first transaction: =MID(B2,4,2)&"/"&MID(B2,1,2)&"/"&MID(B2,7,4) This formula reads the date by character position, so it only works while the dates are text and every date has a two-digit day and month. Fill it down.
  4. Amounts: column D is already signed the way Wave wants (money out negative). Copy it as it is.
  5. Text columns: fill Description (from column 6). Where several bank columns feed one column, join them with a separator such as " - ".
  6. Apply Wave's own rules from its help page: Keep only the date, amount and description columns; delete any other columns. The description column can be empty, but if filled it must contain words, not only numbers. Remove special characters such as #, &, $ and * from the file. Files with more than 100 rows tend not to upload; split them into files of no more than 100 rows each.
  7. Keep only the new columns, put the header row Date,Description,Amount on top, save the sheet as a comma-separated CSV, and compare the dates, the direction of the amounts and the number of rows with your statement in Wave's import preview.

Or use the converter

Load the file, choose the Barclays profile in the bank list and the target Wave, read the preview, then download. The conversion runs locally in your browser: the file is not uploaded, and only the licence key is sent for unlocking.

Paid profile. The free manual column mapper works for any bank, this one included, but the free version writes only the first 25 converted rows of a file. The 9 USD one-time licence adds the ready-made Barclays profile (one of the 35 paid profiles) and removes the 25-row limit. The column table on this page is free to read and can be used to fill in the manual mapper.

Open the converter Licence terms

Where this layout comes from

No bank supplied or approved this layout. It was copied on 5 October 2026 from a public open-source importer file kept by volunteers: firefly-iii/import-configurations, file gb/barclays/default.json

The lines used from the source: "headers": true, "date": "d/m/Y", roles: _ignore, date_transaction, account-number, amount, tags-comma, description

The Wave rules come from the vendor's own help pages: support.waveapps.com/hc/en-us/articles/208621626-Upload-a-bank-or-credit-card-statement-in-csv-format (named as text, not linked), support.waveapps.com/hc/en-us/articles/208622596 (named as text, not linked). The official page refuses automated fetches (HTTP 403 or a script-only page), so the rules were read from web search excerpts of that same official URL on the checked date. Re-check in a browser before relying on a detail.

Bank formats change. Banks alter their CSV exports without notice and vendors change their import rules, so this mapping can be out of date. If the preview looks wrong, use the manual column mapper.

Related pages

Barclays to other apps

The Barclays guides for YNAB, QuickBooks Online and Xero, in the bank list

Other United Kingdom exports to Wave

All banks and apps