Analyzer guide

Bank statement analysis, automated

Upload any bank statement PDF and get a structured analysis — categorised transactions, cash-flow signals, salary detection, and a lending-ready report — in under a minute.

Cash-flow signals

Average and end-of-month balance, inflow / outflow trend, negative-balance days, obligation-to-income ratio.

Income detection

Salary auto-detected with employer and cadence. Freelance and rental income separated from other credits.

Risk flags

Bounced cheques, EMI misses, high-value cash deposits, and running-balance mismatches surfaced automatically.

How the analysis works

  1. 1. Upload

    PDF, CSV or image of the bank statement — 1 to 12 months per file, up to 50 MB.

  2. 2. Extract

    Bank-specific parser plus OCR fallback pulls every transaction with date, amount, description, running balance.

  3. 3. Categorise

    Rule-based plus LLM-assisted categorisation, tuned per country (GST for India, VAT for UK/UAE/ZA, Schedule-C for US).

  4. 4. Score

    Cash-flow signals computed: salary, EMIs, bounce rate, volatility, average balance, negative-day count.

  5. 5. Report

    Downloadable JSON, PDF report, or Excel workbook with per-month sheets. API returns the same shape.

Who uses bank statement analysis

Lenders & NBFCs

Underwrite personal, SME and MSME loans in minutes with an API that returns a scorecard, not just data.

CAs & bookkeepers

Skip manual data entry — get categorised transactions and cash-flow snapshots ready for the ledger.

Finance teams

Monthly close, expense audit, and vendor-payment reconciliation from a single statement upload.

Why BankToBooks over spreadsheets or manual review

  • 200+ bank templates — India, US, UK, UAE, ZA, AU and more.
  • Running-balance reconciliation flags parser drift before you trust the numbers.
  • Salary and EMI detection out of the box — no custom rules to write.
  • One JSON shape across every bank so integrations stay simple.
  • Country-tuned categories: GST, VAT, Schedule-C, FBR, FIRS.
  • Free tier processes in the browser — nothing uploaded for anonymous users.

FAQs

What is bank statement analysis?

Bank statement analysis is the process of extracting transactions from a bank statement (PDF, CSV or image), categorising them, and computing behavioural signals — average balance, salary regularity, EMI load, bounced-cheque count, cash-flow volatility — that lenders, CAs, and finance teams use to make decisions.

How does bank statement analysis improve lending decisions?

Lenders score applicants on cash-flow signals derived from 3–12 months of statements: net inflow trend, salary consistency, obligation-to-income ratio, bounce rate, negative-balance days, and volatility. Automated analysis turns a 2-hour manual review into a 30-second report and removes human bias.

What signals does BankToBooks compute?

Average and end-of-month balance, salary detection with employer, recurring debits (EMIs, rent, subscriptions), inward and outward cheque returns, high-value transactions, cash deposits vs digital, GST outflows (India), UPI vs card mix, and negative-balance day count.

Is it accurate for scanned PDFs?

Yes. OCR handles image PDFs; running-balance reconciliation catches any parser drift and flags it before the report is generated.

Can I export the analysis?

Yes — download the full analysis as JSON, PDF report, or a structured Excel workbook with per-month sheets. API also available for lenders integrating into their loan-origination stack.

Related

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Upload a PDF and see the categorised transactions, cash-flow signals and downloadable report in under a minute.

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