Convert an IDFC First Bank Statement to Excel
IDFC First statement layout, the dense UPI narrations, and how to get a clean categorised Excel file from a busy account.
IDFC First accounts tend to be busy. They are popular as primary UPI accounts, which means a month can easily carry 400 or 500 transactions, most of them small.
Volume changes what matters
On a 40-transaction statement you can eyeball the output and spot a problem. On a 500-transaction statement you cannot, and that changes the calculation entirely: verification stops being a nice-to-have and becomes the only thing standing between you and a quietly wrong file.
It also makes description quality matter more. Four hundred rows of raw UPI strings are unusable for any kind of analysis.
What a UPI narration actually contains
A typical IDFC UPI row packs the payment mode, a 12-digit reference, the counterparty's VPA, their bank, and often a trailing block of placeholder zeros into one field. Only two of those are useful in a spreadsheet: who you paid, and how.
The converted file keeps the narration whole, exactly as IDFC printed it, so it still matches the PDF. For analysis, a few formulas pull out the parts worth grouping on. Keep the reference as text when you do — a 12-digit reference is a number waiting to be misread as an amount by whatever tool you use next.
| Narration fragment | What it is | What to do with it |
|---|---|---|
| UPI/P2A | Payment mode | Pull into its own column to pivot on |
| 512345678901 | Reference number | Keep as text, never as an amount |
| name@okhdfcbank | Counterparty VPA | The part to group and categorise on |
| 000000 | Placeholder padding | Ignore it |
Verifying a high-volume statement
With hundreds of rows, do both checks and trust neither alone. The balance chain confirms every amount was read correctly. The comparison against printed totals confirms none were skipped. A high-volume statement can lose twenty rows without looking any different.
Building a UPI categorisation table
Because VPAs are stable — the same shop uses the same handle every time — a lookup table works well on UPI-heavy statements. Twenty or thirty entries typically covers most of the volume.
| VPA fragment | Category |
|---|---|
| @okhdfcbank | Bank transfer |
| zomato | Food delivery |
| irctc | Travel |
| bses / adani | Utilities |
| @paytm | Wallet top-up |
Excluding transfers before totalling spend
The most common analysis error on a UPI-heavy statement is counting transfers to your own accounts as spending. On an account used for both, that can inflate an apparent monthly outgoing considerably.
Identify your own VPAs and account transfers first, exclude them, and then total. The remainder is actual expenditure.
Frequently asked questions
Can I categorise UPI transactions automatically?
Yes, with a lookup table in Excel. Counterparty VPAs are consistent, so a SEARCH for each VPA inside the narration categorises most recurring payments.
Why does my monthly spending look so high?
Transfers to your own accounts and wallet top-ups are probably being counted as spending. Exclude them before totalling.
How many pages is a busy IDFC month?
A heavy UPI account often runs 15–25 pages a month, so a year of history is roughly 180–300 pages. That fits inside the Starter plan's 500 pages a month.
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Convert a statement now
Bank Statement PDF to Excel, or see every format. More in the guides.