AU Small Finance Bank Bank Statement Analyzer for Indian Lenders
AU Small Finance Bank statements — digital PDFs from AU 0101 and NetBanking — are ingested by TransactIQ's AU Small Finance parser and turned into a structured credit report with channel mix, FOIR, EMI affordability, fraud signals, and India-tuned risk flags.
How TransactIQ reads AU Small Finance Bank statements
Four ingest paths cover the realistic ways a AU SFB statement reaches a lender's desk — net-banking download, branch scan, password-locked PDF, or a bundle of months uploaded at once.
Digital PDFs
Statements downloaded from AU Small Finance Bank net banking or the mobile app are parsed instantly with a dedicated parser — no OCR step needed, text extraction runs directly on the PDF layer.
Scanned and photocopied PDFs
Faded scans, camera photos from branch walk-ins, and low-resolution copies are routed to an automated OCR pipeline. If a page is too degraded, the system falls back to a premium cloud OCR service so the transaction table still comes out clean.
Password-protected PDFs
If the customer shares the password, it is used directly. If not, the system tries common derived-password patterns from the applicant's PAN, phone, name, and date of birth. This is posture, not a recipe — exact candidates are not published.
Multi-statement uploads
Upload several PDFs for the same applicant at once. TransactIQ deduplicates overlapping transactions, auto-corrects reverse-chronology statements, and stitches the result into one combined view the credit officer reads end-to-end.
What the AU SFB report covers
Every TransactIQ run on a AU SFB statement produces one structured Excel workbook (JSON available for system-to-system integration) with an Index sheet that links to every section below.
Monthly income and expense matrix; channel split across UPI, NEFT, IMPS, RTGS, ACH/NACH, card, cheque and cash; income classification (salary, business revenue, interest, one-time receipts); 24-category expense tagging; top counterparties per month; average balance on 1st, 14th and last of every month; balance distribution showing what share of days the account held at least a given amount.
Fixed Obligation to Income Ratio month by month; Net Business Credit (deposits net of self-transfers and cash self-deposits); EMI continuity with dropped-EMI bounce-signal detection; EMI Affordability Calculator with pre-computed Personal Loan and Home Loan tables across tenure and rate bands; five variable-EMI structures from conservative through seasonal; investment-activity share of income.
Month-on-month spending-pattern shift with classified flags; 0-100 behavioural stability score; salary consistency across months; hidden-income and hidden-obligation detection; PDF tampering signals including metadata, creation/modification date drift, balance-chain verification and digit-distribution anomalies; 10 India-tuned risk word lists covering gambling, predatory lending, crypto, luxury overspending, financial distress, over-leverage, and more.
AU Small Finance Bank-specific notes
AU Small Finance Bank has a strong auto-loan and MSME franchise. Digital statements from AU 0101 and NetBanking are clean and consistently formatted. Auto-loan and MSME NACH narration is dense; retail accounts show active UPI and credit-card traffic. The dedicated parser handles the current statement layout cleanly.
- • AU 0101 and NetBanking PDFs are parsed directly from the text layer — digital statements need no OCR step.
- • Scanned AU SFB statements are routed through the OCR pipeline with premium cloud OCR fallback for degraded scans.
- • Password-protected downloads are supported via customer-supplied password or derived candidates from the applicant's profile fields — posture only, exact candidates are not published.
- • Auto-loan and MSME accounts at AU SFB carry heavy NACH narration — EMI-continuity, dropped-EMI and business-versus-personal classification surface restructured obligations and real business flow cleanly.
- • Retail AU SFB accounts carry active UPI and credit-card traffic — Paytm, PhonePe, Razorpay, BharatPe, CRED and other Indian counterparties are recognised by name.
Built for Indian banking
TransactIQ is tuned end-to-end for Indian realities — payment rails, holiday calendar, counterparty names, and regulatory terminology.
- → UPI, NEFT, IMPS, RTGS, NACH and ECS are first-class — channel recognised from description alone.
- → 150+ RBI-notified bank holidays for 2019–2026, plus 2nd and 4th Saturdays and Sundays — NEFT/RTGS/cheque on closed days flagged.
- → Indian date and number formats native — DD-MM-YYYY, lakh-crore grouping, abbreviated month names.
- → Paytm, PhonePe, Razorpay, BharatPe, CRED, Swiggy, Zomato, Ola, Uber, Flipkart, Amazon, Dream11, Zerodha, Groww and hundreds more recognised by name.
- → SARFAESI, NPA, GST, TDS and other RBI/statutory terms parsed and classified correctly.
Who uses TransactIQ on AU SFB statements
NBFCs, HFCs and digital lenders
Credit managers get the same 100+ indicators on every applicant regardless of which bank issued the statement — consistent underwriting, no analyst-to-analyst variation.
Chartered accountants and forensic auditors
Reconstruct transaction trails, flag potentially tampered statements, and triage which accounts warrant deeper review.
Insolvency professionals (RP/IP)
Track fund flow across months, surface related-party transactions, and identify unusual outflows ahead of creditor meetings.
AML and investigation teams
Flag structuring, round-tripping, and suspicious counterparty activity that would take weeks to surface manually.
See a TransactIQ demo on AU Small Finance Bank statements
Upload a handful of real AU SFB files and see the full structured report — channel mix, FOIR, EMI affordability, fraud and tampering signals, India-tuned risk categories.
Request a demo