DPIIT Recognised · DIPP265941 · Made in India

PDF Bank
Statement
Parser

Upload any Indian bank statement PDF — get instant transaction extraction, Excel export, loan eligibility, ITR data, and AI-powered insights. Built for CAs, DSAs & NBFCs.

Text + Scanned PDFs · Rs 49 · 30+ banks

Live Analysis Preview
847
Transactions
Rs 4.2L
Avg Monthly
23s
Parse Time
98%
Accuracy
Supported Banks
SBI HDFC ICICI Axis Kotak PNB BOB Canara +22 more
Bank-specific pages SBI HDFC ICICI Axis Kotak PNB Bank of Baroda Canara Union Bank +21 more
Process

Three steps to complete financial clarity

01

Upload Your PDF

Upload any Indian bank statement PDF — any format, any bank, password-protected statements supported. No manual data entry needed.

02

AI Auto-Analyses

Our AI + OCR engine auto-detects the bank format and extracts every transaction with category, type, and balance — in under 30 seconds.

03

Export & Decide

Download Excel, view loan eligibility report, ITR summary, compliance flags — or chat with AI directly about the statement data.

Everything you get after analysis

📊

Excel Export

All transactions in structured Excel — date, narration, debit, credit, running balance. Ready for Tally import or client handoff.

🏦

Loan Eligibility

Auto-calculated EMI capacity, FOIR, net monthly income from 3–12 months of data. Instant underwriting for DSAs and NBFCs.

📋

ITR Summary

Income classification — salary, freelance, interest. Deductible expenses under 80C, 80D. ITR form suggestion included.

🤖

AI Chat on Statement

Ask natural questions — "show all UPI credits above Rs 10,000" or "what is the average salary received?" — and get instant answers.

🔍

Transaction Search

Filter by keyword, amount range, date range, credit/debit type. Find any transaction in seconds across months of data.

🛡️

Compliance Flags

High-value transaction alerts, STR candidates, structuring suspects, Form 61A requirement check — all auto-detected.

Audience

Built for financial professionals

🧾

Chartered Accountants

Analyze client bank statements 10x faster. Auto-generate ITR summaries, audit reports, and compliance checks — for every client, every quarter.

CA Use Cases →
🤝

DSAs & Loan Agents

Verify income, calculate FOIR, assess loan eligibility in seconds before submitting to lenders. Reduce rejection rates significantly.

DSA Use Cases →
🏢

NBFCs & Lenders

Automated underwriting — extract 12-month income trends, EMI obligations, risk flags, and credit profile without manual review.

NBFC Use Cases →
Rs 49
Per bank statement parse
  • Full transaction extraction
  • Excel download
  • Loan eligibility report
  • ITR summary
  • AI chat on your data
  • All 30+ banks included
  • Compliance flags
Start Analyzing

Simple,
honest pricing

No monthly subscriptions. No seat licenses. No hidden charges. Pay only when you analyze — ideal for CAs with varying monthly client volumes and DSAs who need occasional assessments.

🔒

No Data Storage

PDFs are processed and immediately discarded. Zero permanent retention.

🛡️

HTTPS Encrypted

All connections secured. Data never leaves our servers unencrypted.

🇮🇳

DPIIT Recognised

DIPP265941 · StartInUP certified · Incorporated under MCA India.

Under 30 Seconds

Results in under 30 seconds. No waiting, no delays, no manual steps.

FAQ

Frequently asked questions

What does a PDF bank parser do differently from a PDF reader?
A PDF reader lets you view the document. A PDF bank parser understands the financial structure inside — it identifies transaction tables, separates debit from credit columns, handles multi-line narrations, and outputs clean structured data ready for analysis.
Why do generic PDF-to-Excel tools fail on Indian bank statements?
Generic tools extract raw text without understanding bank table structure — resulting in garbled rows, merged columns, and missing transactions. AarogyamFin's bank-specific PDF parser is trained on 30+ Indian bank formats and correctly handles each layout.
Can the PDF parser handle bank statements that are image-embedded inside a PDF?
Yes. AarogyamFin detects when a PDF contains embedded images (common in scanned BOB and PNB statements) and automatically applies OCR to extract text before parsing the transaction table.
Does the PDF bank parser retain the original narration text?
Yes. The full narration/description text from the bank statement is preserved in the Excel output — including UPI reference IDs, NEFT/RTGS transaction codes, and cheque numbers — useful for audit trails and dispute resolution.
How do NBFCs verify the PDF bank parser output before using it in credit decisions?
NBFCs cross-check the parsed transaction count and total debit/credit sums against the closing balance in the original PDF. AarogyamFin's output includes these totals, making verification quick and reliable.

Ready to analyze your
first statement?

Join CAs, DSAs and NBFCs saving hours every week with AarogyamFin. Upload your first bank statement and get results in under 30 seconds.

Rs 49/parse · DPIIT Recognised · No subscription