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Merge Bank & Stripe Exports

Your bank shows a Stripe deposit while Stripe shows the individual payments behind it, minus fees. The dates may not match because payouts can arrive after the original charge date. PipeSheets standardizes both data sources so you can actually reconcile them.

Finally match those Stripe payouts to your bank deposits

What is Merge Bank & Stripe Exports?

Your bank shows a Stripe deposit while Stripe shows the individual payments behind it, minus fees. The dates may not match because payouts can arrive after the original charge date. PipeSheets standardizes both data sources so you can actually reconcile them.

  • Consistent MM/DD/YYYY dates: Aligns date formats so you can sort chronologically across sources
  • Plain numbers in both files: Strips $ signs and thousands separators so bank and Stripe amounts compare directly (for API-based Stripe files in cents, add a divide-by-100 step)
  • Human-readable descriptions: Cleans cryptic bank references and Stripe charge IDs into useful labels

Sources

Unified financial data for reconciliation

1Before

DateSourceDescriptionGrossFeesNet
01-17-2024ChaseSTRIPE TRANSFER 240115emptyempty$2,847.33
2024-01-15 14:32:05 UTCStripech_3abc12399.003.1795.83
2024-01-15 09:15:22 UTCStripech_3def45645.001.6143.39

2After

DateSourceDescriptionGrossFeesNet
01/17/2024BankStripe Payout (Jan 15)emptyempty2847.33
01/15/2024StripeCustomer Payment99.003.1795.83
01/15/2024StripeCustomer Payment45.001.6143.39

What Gets Fixed

Bank: 01-17-2024, Stripe: 2024-01-15 14:32 UTC
Consistent MM/DD/YYYY dates

Aligns date formats so you can sort chronologically across sources

Bank: $2,847.33, Stripe: 99.00 / 3.17 / 95.83
Plain numbers in both files

Strips $ signs and thousands separators so bank and Stripe amounts compare directly (for API-based Stripe files in cents, add a divide-by-100 step)

STRIPE TRANSFER 240115 vs ch_3abc123
Human-readable descriptions

Cleans cryptic bank references and Stripe charge IDs into useful labels

Bank net only, Stripe gross/fees/net
Consistent column structure

Standardizes columns so gross, fees, and net align for reconciliation

How It Works

Clean your data in three simple steps. No coding required.

1

Export from Stripe & Your Bank

Drop your file here

CSV or XLSX, up to 25MB free

data_export.csv

Download Stripe payouts from Balance → Payouts and your bank statement CSV

2

Clean Each File Separately

Quick Clean Pipeline
Trim whitespace
Standardize nulls
Remove empty rows
Normalize headers

Apply the Stripe cleanup (dates, columns) and Bank cleanup (date format, amounts)

3

Stack Them and Match

clean_data.csv
Ready
1,234
rows
8
columns
2.3s
time

Stack the cleaned files with Merge Files (or in Excel), sort by date, and match payouts to deposits

Matching Stripe Payouts to Bank Deposits, Step by Step

Reconciling Stripe against your bank is really one question asked over and over: does this deposit equal the net of that payout? It sounds trivial until you try it with raw exports - the bank file says 'STRIPE TRANSFER 240115' with a net amount, while the Stripe file has UTC timestamps, gross, fee and net columns, and charge IDs. Most reconciliation pain, including double counting revenue, comes from comparing files that were never made comparable.

Diagnosing the usual mismatches

Reconciliation symptoms, causes, and fixes

SymptomLikely causeFix
Deposit matches no single Stripe chargeA payout bundles many charges minus feesMatch the deposit to the payout's net total in Stripe's payout report, never to individual payments
Revenue counted twice in your booksCharges booked as income AND the deposit categorized as incomeBook gross charges plus fees from Stripe; mark the bank deposit as a transfer so it never hits revenue
Deposit smaller than expectedRefunds, disputes, or adjustments were netted into the payoutOpen the payout's detail in Stripe to see every charge, refund, and fee it contains
Dates off by two to seven daysPayout schedule lag between charge date and arrivalMatch on the payout arrival date, not the original charge dates

The workflow: clean both files, stack them, match by hand

The hard part is making two incompatible exports structurally identical. Once both files share the same columns, date format, and number format, PipeSheets' Merge Files stacks them into one file (or you paste one below the other in Excel or Google Sheets), and the matching becomes a sort and a scan:

Reconciliation workflow steps

  • Export the Stripe payout report (Balance → Payouts) and your bank statement CSV for the same period.
  • Build a Stripe pipeline: drop the ID and metadata columns, strip timestamps down to dates with a regex find & replace, rename columns to Date / Description / Net, and reorder them into that order.
  • Build a bank pipeline: fix the date separator with regex, convert parentheses negatives, strip $ and commas, and rename/reorder to the same Date / Description / Net structure.
  • Preview both outputs - the columns should now line up exactly - then download each as CSV.
  • On the Files page, select both cleaned files and choose Merge Files: pick Vertical (stack rows) and switch on Add Source File Column so every row says where it came from. Download the merged file, sort by date, and walk down the list matching each payout net to its bank deposit. (Pasting one file below the other in Excel and adding a Source column by hand works too.)
  • Save both cleanups. Next month, reconciliation is two uploads, one merge, and one download.

Anything that does not pair up after sorting is your exception list: a payout still in transit, a refund that shrank a deposit, or a stray non-Stripe transaction. That short list - not the hundreds of matched rows - is where your attention should go, and it is exactly what this workflow surfaces.

Frequently Asked Questions

Guides for Merge Bank & Stripe Exports

Clean Your Financial Data

Stop guessing which Stripe charges match which bank deposits. Standardize your data for proper reconciliation.

Get Started