DDebitMap

30-DAY DEBIT FORECAST

Know what will debit
before it does.

DebitMap finds repeated payments hidden in transaction messages. Every prediction shows its evidence. No bank login needed.

17 financial messages read4 recurring patterns foundRaw text not stored

Likely in the next 30 days

₹16,647.82
SAMPLE INBOX
Commitments4
Next debit20 Jul
High confidence4

UP NEXT

Netflix18 Jul to 22 Jul
₹649

YOUR COMMITMENT CALENDAR

What is likely to hit next

JUL20

Netflix

Entertainment · monthly

₹649–₹699expected
HIGH · 99%↑ PRICE UP 8%Window: 18 Jul22 Jul
Why DebitMap thinks this is recurring +
  • 4 matching debits found
  • 100% interval consistency
  • Mandate or recurring-payment language detected
  • Latest amount changed +8%
JUL25

Bajaj Finance EMI

EMI · monthly

₹12,500expected
HIGH · 99%Window: 23 Jul27 Jul
Why DebitMap thinks this is recurring +
  • 4 matching debits found
  • 100% interval consistency
  • Mandate or recurring-payment language detected
AUG1

Tata Power

Utilities · monthly

₹2,140–₹2,475expected
HIGH · 99%↑ PRICE UP 10%Window: 30 Jul3 Aug
Why DebitMap thinks this is recurring +
  • 4 matching debits found
  • 100% interval consistency
  • Latest amount changed +10%
AUG7

Airtel

Utilities · monthly

₹1,178.82expected
HIGH · 99%Window: 5 Aug9 Aug
Why DebitMap thinks this is recurring +
  • 3 matching debits found
  • 100% interval consistency
  • Mandate or recurring-payment language detected

TEST THE ENGINE

Use messages you control.

Paste dated financial messages or upload a CSV. The browser sends nothing to storage. Closing the page clears the session.

01 OTP and personal messages are rejected02 Only debit patterns enter the forecast03 Every result includes its evidence

FORMAT: YYYY-MM-DD | SENDER | MESSAGE

or

NO BLACK BOX

Three steps. Visible logic.

1

Filter

The phone keeps OTPs and conversations out. Only likely financial alerts move forward.

2

Extract

Rules and a small financial language model identify amount, merchant, account, and payment type.

3

Forecast

Calendar intervals, amount variation, and mandate language create an explainable confidence score.

DATASET

Built around FinEE, an Apache 2.0 dataset with 152,000+ Indian banking messages. Most records are synthetic, so DebitMap does not present benchmark results as proof of production accuracy.

View dataset ↗