Re:Cap (re-cap.com) vs Zera Books: Accuracy Comparison

Trained on 3.2M+ financial documents including 2.8M bank statements and 847M individual transactions. Zera AI dynamically processes any bank format worldwide without template setup.

Extraction errors average under 0.4% per document. Review exceptions instead of verifying every transaction line by line.

Purpose-built OCR for financial documents handles low-resolution scans, photographed statements, and image-based PDFs. Recognizes MICR lines, table structures, and financial typography with high fidelity.

Process every client statement regardless of source quality. No more manual re-entry for scanned or photographed documents.

Zera AI identifies multiple bank accounts within a single statement PDF and separates transaction streams into individual files — one per account, correctly labeled with account numbers.

Process a combined statement and receive separate, accurate files for checking, savings, and credit card. Zero manual splitting required.

Bank statements, financial statements (P&L, balance sheets, cash flow), invoices (line items, tax amounts, PO matching), and checks (MICR extraction) — all processed at the same 99.6% accuracy standard.

Handle every document type in one platform without compromising accuracy or switching between tools.

Beyond extraction, Zera AI assigns transaction categories based on patterns from millions of real accounting workflows. Categories match standard charts of accounts for QuickBooks, Xero, and Sage.

Start with 85-90% categorization accuracy on first use, improving to 95%+ as the AI learns your specific client patterns.

Zera Books flags potential duplicate transactions during extraction — critical when clients provide overlapping statement periods or when multiple formats of the same statement are uploaded.

Prevent double-counting before data enters your accounting software. Catch errors at extraction, not reconciliation.