Choosing a bank statement converter for Tally: a checklist for CA firms

Search for a bank statement converter and you'll find a dozen that look identical. Upload a PDF, get Excel or Tally XML back, a few hundred rupees for a bundle of pages. The landing pages make the same promises in the same order, and none of them give you a way to tell which one you can safely put in front of a client's books.

This is the checklist we'd use, built on one principle: prefer questions with answers you can verify over questions that require you to trust a claim.

Start with what you can actually check

Most vendor pages lead with a bank count — supports 140+ banks, 200+ formats detected. It's the first number you see and very close to the least useful, because there is no way for you to audit it from outside. You cannot tell whether “supported” means somebody ran real statements from that bank and confirmed the output, or whether the parser simply doesn't crash when handed the file.

Accuracy percentages have the same problem. 99.5% accurate invites the obvious follow-up: measured against what, across how many statements, from which banks, tested when? Without that context the number is decoration.

None of this means vendors are lying. It means you are being asked to trust something you have no way to test — and there are much better questions available.

Can the tool prove its own output?

This is the question that actually separates products, and it has a testable answer.

A bank statement carries its own proof. It states an opening balance, a closing balance, and a running balance on every row. Those figures let any tool — or any person with a spreadsheet — check an extraction against itself: apply each transaction in order to the opening balance and see whether you land on the stated closing figure. If you do, no rows are missing and no debit has been read as a credit. If you don't, the first row where the computed balance diverges is precisely where the error sits.

So ask: does the tool run that check, does it show you the result, and does it point at the specific row when the check fails? A tool that hands you a spreadsheet with no verdict has moved the work rather than removing it. You still have to confirm the output — you just have less to go on.

Ask, too, what happens when the tool is uncertain. Confidence scores surfaced per field are useful. Silent guessing is not. A converter that quietly produces a plausible wrong number is worse than one that says it couldn't read a cell, because the first kind of error reaches the client and the second doesn't.

The single best test: ask to run one of your own client statements through before you pay for anything. Pick an awkward one — a scan, or a statement with wrapped narrations. What comes back tells you more than any feature list. The specific things that go wrong in a conversion are worth knowing before you run that test, so you know what to look for.

What happens to your client's file?

You are uploading someone else's account numbers, balances and complete financial rhythm to a third party. That deserves more scrutiny than a feature comparison — we've set out the full version of this question, and what a good answer looks like, separately.

How long are files kept, and is that configurable? A default measured in hours is a very different posture from indefinite storage.

Are files encrypted at rest, and who holds the keys? “Bank-grade” and “military-grade” are marketing words with no fixed meaning. Ask what the actual mechanism is.

Who inside the vendor can see an uploaded file, and is that access logged?

Is there an audit trail on your side — who uploaded, who corrected, who exported, and when? If a client ever queries a figure, that record is what lets you answer.

Where is the data hosted, and are there sub-processors? A converter that quietly ships your file to a third-party OCR service has widened the circle without telling you.

What does deletion actually mean? Removed from the interface, or removed from storage and backups?

If a vendor can't answer these plainly on their site or over email, that itself is information. For what it's worth, our answers to all seven are published rather than available on request.

Does it fit a firm, or just a person?

Most converters are built for someone handling their own account. A practice handling thirty clients has different needs, and they're easy to overlook during a trial that only involves one file.

Look for batch handling — can you upload a folder or a ZIP rather than one file at a time? Can work be separated per client, so one client's data isn't sitting alongside another's? Can more than one person use the account with sensible roles, so a junior can prepare and a senior can review? Do the export formats match what your ledger actually ingests, rather than just generic CSV? And does the pricing model fit — per page, per seat, per client — against how your work actually scales?

A tool that's excellent for one statement and awkward for thirty will cost you more in workflow friction than it saves in typing.

The questions that matter less than they look

Supported bank counts. Covered above. Unverifiable, and structurally inflated across the whole category.

“AI-powered.” Nearly every tool in this space uses some form of machine reading. The label tells you nothing about whether the output is checked.

Processing speed. Conversion takes seconds either way. Your time goes on review, not on waiting.

Customer counts and logos. Pleasant to see, but a firm's satisfaction with a tool on their banks tells you little about yours.

The short version

Before you commit to a converter, get answers to these: Can I run my own statement through first? Does it verify the output against the statement's own balances, and show me where it failed? Does it flag uncertainty instead of guessing? How long are files kept and how are they protected? Is there an audit trail? Does it handle multiple clients and more than one user? Do the exports match my ledger?

Notice what's not on that list. Not one of those questions is about how many banks are supported — because every one of the questions above has an answer you can check for yourself, and that one doesn't.