How We Processed 600 Real Tax Invoices in 4.5 Minutes Using a Dual-Engine Gemini AI & Vertex AI Architecture

Manual data entry remains the single biggest bottleneck for Certified Public Accountants (CPAs) and SMEs in Latin America and the Caribbean. In the Dominican Republic, preparing the monthly DGII Form 606 (Purchases), Form 607 (Sales), and IT-1 (VAT/ITBIS) declarations for a mid-sized business with 600 monthly receipts typically consumes 15 hours of manual typing and tax ID validation.

At DiGitax Suite (Corporate Profile — DiGitax LLC), we engineered a dual-engine AI document processing pipeline that cuts those 15 hours down to 4 minutes and 31 seconds with 100% field extraction accuracy—while keeping daily AI ingestion free for accountants.

Here is the architecture and the full benchmark data from our 600-Invoice AI Case Study (Gemini AI vs. Vertex AI). Most accounting scanners fail in production for two reasons:

B02), and duplicate PDFs. If an OCR tool blindly dumps all of that into the ledger, the accountant spends more time cleaning up the mess than typing it manually.0 Credits vs. 6 Credits/doc) Instead of forcing every document through an expensive enterprise endpoint, DiGitax routes documents across two specialized engines backed by a Unified Non-Expiring Prepaid Credit Wallet:

Declarados vs. Descartados Before any extracted document touches the General Ledger, it passes through our 4-Filter DGII Validation & Depuration Pipeline:

Fiscal & Accounting Track (Left Rail): Procesados → Contabilizados → RNC Activo) and voucher sequence ( NCF Serie B / e-CF Serie E under Control & Depuration Track (Right Rail):

Pendientes → Incidencias → [RNC + NCF] duplicates are automatically diverted to