Live demo environment · credentials on request

From transactions to insights, instantly.

FinSight reads an Indian bank statement PDF, extracts and categorizes every transaction, flags risk, and returns a decision-ready underwriting report.

How it works
app.finsight.in / statements / STM-4471-AX
APPROVE
Suggested decision
FOIR within policy · stable salary credits · no fraud signals
2 flags to review
Avg Income
₹1.84L
FOIR
38%
Surplus
₹71.5K
ABB
₹2.14L
DateDescriptionAmountConf.
04 MarSalary · ACME TECH PVT LTD+1,84,20098%
07 MarEMI · HDFC Home Loan−42,00097%
11 MarUPI · cash deposit cluster−18,50064%
15 MarNEFT · rent transfer−28,00095%
Closing balance · 6 mo
Risk flags
3 high-value cash deposits before EMI dates
View evidence →
Round-tripping · ₹50,000 in/out same day
View evidence →
Natively parses statements from India's major banks
HDFCICICIAxisBank of BarodaKotakIndusIndSBIPNB+ any scanned statement via VLM
How it works

Four steps from PDF to underwriting call.

The analyst stays in control throughout — FinSight does the reading, categorizing, and math; the underwriter makes the decision.

01

Upload

Drop a statement PDF. Extraction runs asynchronously while you queue the next file.

02

Extract

Every transaction is parsed, categorized, and confidence-scored — UPI, NEFT, cash, EMIs and all.

03

Review

Low-confidence rows queue for one-keystroke analyst review. Approve, recategorize, undo — fast.

04

Decide

FOIR, surplus, ABB and fraud flags roll up into an Approve / Refer / Reject suggestion, fully cited.

Outcomes

Built for the volume underwriters carry.

0 min
Average time to a decision-ready report
Down from hours of spreadsheet work
0%
Transaction extraction accuracy
Across natively-supported banks
0%
Numbers backed by evidence
Click any figure to see the source rows
0
Banks parsed natively
Scanned & unknown statements handled via VLM
Security & compliance

Handled the way a bank expects.

FinSight was built for the controls a lender's risk team asks about on day one — not bolted on after a pilot.

Data residency · INServer-side keysAudit logPII maskingRBAC

RBI-aligned handling

Processed within Indian data residency; retained only as long as your policy requires.

Keys never in the browser

Credentials injected server-side. The client talks only to a hardened proxy.

Full audit trail

Every extraction, edit and decision emits an immutable event — who, what, when, why.

PII redaction

Account numbers and identifiers masked in the UI and exports unless explicitly revealed.

FAQ

Questions risk teams ask first.

HDFC, ICICI, Axis, Bank of Baroda, Kotak, IndusInd, SBI and PNB have dedicated parsers tuned to each bank's format. Scanned statements — and any statement we can't parse digitally — are handled through the VLM extractor.

A scanned statement falls through to the VLM extractor, which reads it like a person would. A digital statement from an unrecognized bank is flagged and rejected rather than silently mis-parsed — so an analyst is never handed numbers we aren't confident in.

Always. FinSight only ever offers a suggestion. Every category, flag, and the Approve / Refer / Reject tendency can be changed by the analyst, with one-keystroke review and full undo.

Most statements reach a decision-ready report in well under ten minutes. Extraction runs asynchronously, so analysts queue files and work the review queue while jobs complete.

Indian data residency, server-side API keys, PII redaction by default, role-based access, and an immutable audit trail on every action.

See FinSight on your own statements.

We're running guided demos for lending and credit teams. Request access and we'll set you up with test credentials and sample statements.

Talk to the team