Parse HDFC Bank Statements in Seconds
Instantly convert HDFC Bank pdf savings and current account statements into clean, structured data. DigiParser understands regional formats, narration styles, and reward summaries so finance, lending, and compliance teams never re-key transactions again.
99.7%
Accuracy
Neural OCR trained on bank-grade statements
INR
INR ready
Detects currency symbols, decimals, and localized number formats
PDF savings and current account statements • Corporate account statements via NetBanking Corporate
Formats
Map statements to normalized CSV, Excel, or JSON outputs
Why teams choose DigiParser for HDFC Bank
Optimized templates capture every nuance of HDFC Bank statements — from narration aliases to localized balance calculations.
Supports Indian date formats and language-specific narration fields.
Captures GST, TDS, and TCS references that appear on statements.
Recognizes UPI, IMPS, NEFT, and RTGS descriptors for payment tracking.
Built for PDF savings and current account statements, Corporate account statements via NetBanking Corporate, Credit card statements
DigiParser normalizes headers, balances, and narration fields so every statement cycles into your downstream systems without manual effort.
Supported Source Files
Upload historical PDFs, combined family statements, or treasury exports in one workflow.
- PDF savings and current account statements
- Corporate account statements via NetBanking Corporate
- Credit card statements
- Download e-statements from NetBanking > Enquire > Download Account Statement.
- Corporate clients can pull statements in PDF or CSV via NetBanking Corporate.
- Set e-mail alerts to ingest statements immediately after cycle generation.
Data Points Captured
Extract a consistent, analytics-ready dataset for finance, risk, and operations.
- Account holder and branch identifiers
- Account number or IBAN / routing details
- Statement opening and closing balances
- Statement period start and end dates
- Transaction dates and posted timestamps
- Narration / description fields
- Debit, credit, and running balances
- Fees, taxes, and interest accruals
- Channel indicators (ACH, card, wire, cash)
- Rewards, points, or loyalty summaries
Automation Use Cases
Pipe parsed data into the systems your lending, treasury, and finance teams already use.
- Auto-tag GST reference IDs for indirect tax reconciliation.
- Monitor UPI collections for digital payment analytics.
- Feed cash credit account activity into working capital dashboards.
Risk & Compliance Guardrails
Configure triggers that surface suspicious activity or missing documentation instantly.
- Highlight large cash deposits crossing RBI thresholds.
- Monitor outward remittances requiring Liberalised Remittance Scheme checks.
- Verify TDS deductions credited back to accounts.
Connect HDFC Bank data to your stack
Send parsed transactions and balances to ERP, FP&A, analytics, or compliance systems with native integrations, API, webhooks, or secure file delivery.
Answers for HDFC Bank teams
Everything you need to operationalize HDFC Bank statement parsing across finance, lending, and compliance teams.
How do I download HDFC Bank statements for parsing?
Log into HDFC NetBanking and open the statements or documents area for the account you want to process. Download the pdf savings and current account statements for the period you need. Once saved to your secure storage, drop the file into DigiParser or forward it to your automation inbox to start extraction immediately.
Can DigiParser handle HDFC Bank pdf savings and current account statements and corporate account statements via netbanking corporate?
Yes. DigiParser reads pdf savings and current account statements as well as corporate account statements via netbanking corporate when they are available. The parser normalizes headers, balances, and narration fields so you can export consistent CSV, Excel, or JSON output for every statement cycle.
What information is captured from HDFC Bank statements?
Every transaction is extracted with date, description, debit or credit amount, running balance, and detected channel. We also capture summary sections like interest, fees, and rewards so your finance, compliance, and analytics teams get a complete dataset with no manual re-keying.
Is HDFC Bank data secure inside DigiParser?
Absolutely. DigiParser uses SOC 2 controls, role-based access, and encrypted processing pipelines. Statements are processed in isolated environments and can be purged automatically based on your retention policy. Only the structured output you approve is shared with downstream systems.
Ready to automate HDFC Bank statement processing?
Join thousands of teams that rely on DigiParser for precise, secure bank statement extraction. Start with 100 free documents and launch your workflow in minutes.