One Engine. Every Step From Document to Data.
Sevikr AI combines document understanding, schema intelligence, confidence scoring, automated cross-field validation, human review and multi-target structured delivery into a unified data processing layer.
The Sevikr AI Platform Infrastructure Map.
Click any core platform module below to inspect its operational architecture, validation behavior, and downstream delivery specs.
AI Extraction Core
Multi-Modal AIGoogle Gemini multi-modal AI extracts metadata, line-item arrays, multi-currency values, and multi-language PDF text without rigid templates.
From Unstructured File to Verified Business Payload.
An 8-stage architectural workflow designed to process multi-page invoices, receipts, purchase orders, and medical claims with zero data loss.
Multi-Format Archive Upload
Upload bulk ZIP archives or single multi-page PDFs up to 20 GB with zero pre-sorting.
Gemini Vision Parsing
Multi-modal AI parses document layout, bounding boxes, nested tables, & context.
Header & Line-Item Fields
Extract invoice numbers, vendor details, tax IDs, and line-item table arrays.
Schema Type Enforcement
Normalize values to Text, Currency, Date (YYYY-MM-DD), and Number data types.
Field Confidence Heatmaps
Assign field confidence scores: High (≥95%), Review (70–95%), Low (<70%).
Cross-Field Math Rules
Verify Subtotal + Tax = Total math consistency & cross-field integrity.
HITL Dual-Pane Inspector
Operators review low-confidence exceptions side-by-side with raw crop bounds.
Multi-Target Sync
Deliver verified payloads into Excel, Google Sheets, Webhooks, or REST APIs.
Rigid Automation vs. Intelligent Extraction.
How Sevikr AI's multi-modal understanding layer fundamentally differs from legacy template-based document tools.
Turn Your Business Documents Into Business-Ready Data.
Upload invoices, purchase orders, identity files, and shipping bills. Sevikr AI extracts the exact fields you need, verifies mathematical integrity automatically, and delivers clean structured data.