State Bank of India
Strongest bank in the approved runtime dataset today.
These ratings are based on real app support, not guesses. We combine dedicated parser rules, basic fallback handling, and approved community samples already bundled into SpendSense Pro.
Bank ratings here depend on approved JSON dataset support first. If a bank has no approved dataset coverage yet, it shows 0/10.
| Bank | Rating | Support basis | Needs more samples | What works now |
|---|---|---|---|---|
Bank of Baroda | 10/10 | Approved dataset | Yes | UPI, common bank debits, common bank credits, NEFT and IMPS patterns |
ICICI Bank | 10/10 | Approved dataset | No | UPI, bank debits, bank credits, credit card spends, credit card payment receipts |
State Bank of India | 10/10 | Approved dataset | No | UPI, bank debits, bank credits, credit card alerts, credit card payments |
HDFC Bank | 9/10 | Approved dataset | Yes | UPI, bank credits, bank debits, credit card payments, setup alerts |
Axis Bank | 8/10 | Approved dataset | Yes | credit card spends, credit card payments, cashback credits, common transfer alerts |
IDFC FIRST Bank | 8/10 | Approved dataset | Yes | UPI, bank debits, income credits, card spends, interest and cashback credits |
Indian Bank | 7/10 | Approved dataset | Yes | common transfer patterns, community-approved message families |
Punjab National Bank | 6/10 | Approved dataset | Yes | common bank alerts, common transfer messages |
Kotak Mahindra Bank | 5/10 | Approved dataset | Yes | common bank alerts, common UPI and card-linked messages |
Canara Bank | 4/10 | Approved dataset | Yes | UPI, bank debits, bank credits, card-linked alerts |
Union Bank of India | 4/10 | Approved dataset | Yes | common bank alerts, common transfer messages |
Airtel Payments Bank | 0/10 | Basic app support | Yes | wallet-style credits, merchant spends, card-style alerts |
AU Small Finance Bank | 0/10 | No approved dataset yet | Yes | common bank alerts, common transfer messages |
Bandhan Bank | 0/10 | No approved dataset yet | Yes | common bank alerts, common transfer messages |
Bank of India | 0/10 | No approved dataset yet | Yes | common bank alerts, common transfer messages |
Central Bank of India | 0/10 | No approved dataset yet | Yes | common bank alerts, common transfer messages |
Federal Bank | 0/10 | Basic app support | Yes | common bank alerts, common transfer messages |
IDBI Bank | 0/10 | Basic app support | Yes | common bank alerts, common transfer messages |
IndusInd Bank | 0/10 | Basic app support | Yes | common bank alerts, common transfer messages |
RBL Bank | 0/10 | Basic app support | Yes | common bank alerts, common transfer messages |
UCO Bank | 0/10 | No approved dataset yet | Yes | common bank alerts, common transfer messages |
Yes Bank | 0/10 | Basic app support | Yes | common bank alerts, common transfer messages |
After banks, these are the credit-card issuers and card parsers that work best in the app right now.
| Credit card | Rating | Support basis | Needs more samples | What works now |
|---|---|---|---|---|
ICICI Bank Credit Card | 9/10 | Dedicated parser rules | No | card spends, UPI-on-card alerts, payment receipts, statement and service ignores |
SBI Card | 9/10 | Dedicated parser rules | No | card spends, payment receipts, cashback and reward credits, promo ignores |
Axis Bank Credit Card | 8/10 | Dedicated parser rules | No | card spends, payment receipts, cashback credits, card-offer ignores |
HDFC Bank Credit Card | 8/10 | Dedicated parser rules | No | card spends, payment receipts, settings change ignores, bill reminders |
IDFC FIRST Credit Card | 8/10 | Dedicated parser rules | Yes | card spends, payment receipts, rewards and cashback, interest-style credits |
OneCard | 7/10 | Generic card parser | Yes | card spends, payment receipts, subscription and emandate alerts |
Slice Card | 7/10 | Generic card parser | Yes | card spends, custom approved exact matches |
Generic Credit Card SMS | 5/10 | Generic card parser | Yes | common card spends, basic payment alerts, card-ending patterns |
If your bank is weak, missing, or needs more samples, the fastest path is still the contribution site. If that does not work for you, email us privacy-safe anonymized samples directly.
This is the preferred route because it is already built for approved sample review.
Please mail only privacy-safe, anonymized SMS samples and mention the bank or credit card name clearly.
The bank table above is approved-dataset first. The sections below still show the broader app view, including card support and shared rail support.
Bank-level support based on dedicated parser rules, fallback logic, and approved community samples already bundled into the app.
Strongest bank in the approved runtime dataset today.
Very strong approved-dataset coverage for common HDFC flows.
ICICI has deep approved-dataset coverage and strong code support behind it.
Good approved coverage and strong parser behavior on common IDFC FIRST patterns.
Axis is supported through approved dataset coverage plus dedicated parser rules.
Very strong approved-dataset coverage. Long-tail Bank of Baroda wording still needs a dedicated parser later.
PNB now has approved-dataset support, but still needs more samples for stronger confidence.
Indian Bank has meaningful approved-dataset presence, but still needs more breadth.
Kotak has some approved-dataset support, but not enough yet to call it strong.
Union Bank has limited approved-dataset support right now.
Canara has approved support, but currently on a narrow set of confirmed families.
The app has code-based fallback for some Yes Bank messages, but no approved JSON dataset support yet.
IndusInd still only has basic app support until approved samples are added.
Federal Bank still depends on built-in app logic because there is no approved JSON dataset support yet.
IDBI has code fallback support, but no approved JSON dataset support yet.
RBL only has basic app support until approved samples are added to the dataset.
Bank of India is not yet represented in the approved JSON dataset.
Central Bank of India is not yet represented in the approved JSON dataset.
UCO Bank is not yet represented in the approved JSON dataset.
AU Small Finance Bank is not yet represented in the approved JSON dataset.
Bandhan Bank is not yet represented in the approved JSON dataset.
Airtel Payments Bank has code-level handling, but not approved JSON dataset coverage yet.
Issuer-level card support for spends, receipts, cashback, and common card-only service messages.
SBI Card is one of the best-supported card issuers in the app right now.
ICICI credit-card messages are strong on both actual spends and non-transaction service noise.
HDFC card support is strong for common spend and payment flows.
Axis card alerts are solid, especially on payment receipts and cashback-style messages.
Strong for the common families already seen, but more card samples still help edge cases.
OneCard works on the patterns already taught to the app, but the coverage is still community-shaped rather than fully bank-specific.
Slice is supported through a mix of generic parsing and curated exact approved examples.
If your issuer is not listed above, the app still tries generic card parsing. It works often, but not perfectly.
Shared detection layers that help the app understand transfers even when the bank itself is not yet first-class.
UPI is a core strength of the app, but weird bank-specific wording still benefits from community samples.
UPI AutoPay has explicit handling for mandate-style messages and should stay out of your expense feed when appropriate.
IMPS works through generic transfer parsing today. Reliability improves when we also have bank-specific formats.
NEFT is supported well on common patterns, but banks still phrase these alerts differently enough that more samples matter.
RTGS is recognized, but still relies mostly on the shared transfer parser.