Confidential Bank Statement OCR — 100% Local In-Browser Extractor
Direct Summary: Extract transactions, account numbers, dates, debits, credits, and closing balances from PDF or image bank statements entirely in your local browser via WebAssembly (WASM). No financial records, account credentials, or transaction payloads ever leave your device or touch external servers.
| Component | Amount / Value | Statutory Basis / Notes |
|---|---|---|
| Data Security Model | 100% In-Browser WASM Sandbox | Zero network transmission of document bytes |
| Supported Input Types | PDF, PNG, JPG, JPEG, WEBP | Multi-page rasterization at 200 DPI |
| Export Formats | Plain Text (.txt), CSV Table (.csv), JSON (.json) | Instant copy & download |
| Table Extraction Heuristic | Spatial Bounding Box Clustering | Reconstructs date, description, debit, credit cells |
| Memory Lifecycle | Auto-Revoke on Unmount | Garbage collection purges memory buffers |
Live Interactive Customizer
Auto-seeded with scenario parameters100% In-Browser Sovereign OCR Sandbox
Zero Server Uploads • Client-Side WebAssembly (WASM) • Safe for Bank Statements, Passports, Invoices & Confidential Contracts
Drag & Drop Your Document or Image Here
Supports Multi-page PDF, PNG, JPG, JPEG, and WEBP (Up to 50MB)
Why is client-side OCR critical for bank statements?
Bank statements contain sensitive PII including account numbers, home addresses, employer deposits, and financial net worth. Cloud OCR tools upload and store these files on third-party servers. Ambiakshi Document OCR executes 100% in your browser's WebAssembly sandbox, ensuring complete confidentiality.
Can I export bank statement tables into Microsoft Excel or Google Sheets?
Yes. The built-in spatial reconstruction heuristic clusters detected words into structured rows and columns, enabling one-click download as a `.csv` file ready for Excel import.
Does this tool work with password-protected bank PDFs?
For password-protected PDFs, first unlock the file using our client-side PDF Security Studio, then load the unlocked PDF into Document OCR.