AI-Powered Bank Statement Processing

Stop reading bank statements line by line. Let AI extract what matters.

Automatically extract, validate, and analyze bank statement data across any format or bank — with 99%+ accuracy. No manual parsing, no spreadsheet gymnastics, no IT dependency.

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HDFC_Statement_Mar2026.pdf
Approved
ICICI_Statement_Mar2026.pdf
Processing
SBI_Statement_Mar2026.pdf
Flagged

Bank Statement Analysis Is Holding Your Team Back

Whether you're underwriting loans, onboarding customers, or auditing finances — manually combing through bank statements is slow, error-prone, and completely unscalable.

Hours Lost Per Application

Analysts spend 45–90 minutes per applicant manually reading statements, categorizing transactions, and computing cash flow metrics — creating massive processing queues.

Inconsistent Categorization

Different analysts classify the same transactions differently — salaries, EMIs, and credits get miscategorized, leading to unreliable risk assessments and poor lending decisions.

Slower Decisions, Lost Revenue

Every day a loan or credit decision is delayed is a customer lost to a faster competitor. Manual statement analysis is the single biggest bottleneck in financial decisioning.

Impossible to Scale

Doubling application volume means doubling headcount — there's no way to absorb growth without proportionally growing your ops team, and that's simply not sustainable.

Key Capabilities

Everything your team needs to go from a stack of PDFs to clean, categorized, decision-ready financial data.

Any Bank, Any Format

HDFC, ICICI, SBI, Axis, Kotak, and 200+ banks worldwide — Docstruct reads every statement format without needing a custom template per bank.

Automated Transaction Categorization

Every debit and credit is automatically classified — salaries, EMIs, utilities, transfers, bounced cheques — giving you instant, consistent cash flow intelligence.

Multi-Month & Multi-Account Support

Process 12 months of statements across multiple accounts in a single workflow — Docstruct stitches them together into a unified financial picture.

Fraud & Anomaly Detection

Automatically surface round-trip transactions, sudden balance spikes, salary irregularities, and other patterns that signal manipulation or elevated risk.

Instant Financial Summaries

Get auto-computed metrics out of the box — average monthly balance, income stability score, obligation-to-income ratio, and net cash flow — without touching a formula.

LOS & Underwriting System Integration

Push structured statement data directly into your Loan Origination System, CRM, or risk model via API — closing the loop from document to decision instantly.

From Raw Statement to Decision-Ready Data

See exactly how Docstruct parses every transaction, computes financial metrics, and surfaces risk signals — all with confidence scoring and human-in-the-loop review where it counts.

Document Review

HDFC_Statement_Jan-Mar2026_ACC8821.pdf

Fields: 10/10 verified
ICICI Bank
DateDescriptionTypeAmount
Mar 01SALARY CREDIT - INFOSYSCredit+₹82,500.00
Mar 04EMI AUTO-DEBIT - HDFC HOMEDebit-₹24,300.00
Mar 10UPI - AMAZON SHOPPINGDebit-₹3,840.00
Mar 15NEFT TRANSFER - HDFC FDDebit-₹10,000.00
Mar 28CHEQUE BOUNCE - ECS RTNBounce-₹500.00

Extracted Fields

Account Holder
MS. PRIYA KRISHNAMURTHY
Account Number
XXXXXXXX8821
Bank & Branch
HDFC Bank, Koramangala
Statement Period
Jan 1, 2026 – Mar 31, 2026
Opening Balance
₹1,14,280.00
Closing Balance
₹98,640.00
Avg. Monthly Credits
₹83,200.00
Total EMI Obligations
₹27,800.00 / month
Obligation-to-Income
33.4%
Cheque Bounces (90d)
1

Turn bank statements into decisions — in seconds, not days.

Set up your first bank statement verification workflow in under 15 minutes. Works across every major bank, every format, out of the box.

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