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MULTI-MODAL VISION PARSING

Read Documents Like a Human. Return Data Like a System.

Extract structured metadata and nested line-item tables from multi-page PDFs, low-resolution scanned receipts, and international invoices without building rigid coordinate templates.

Multimodal AI Vision Schema Intelligence Math Integrity Rules Human Review Inspector High-Volume Batch Queue Multi-Target Exports

Multi-Currency International (.PDF)

International EU Invoice
Gemini Vision Active
INPUT STREAM SOURCEglobal_invoice_fr_99.pdf
Euro Tech Solutions SASPage 1 of 1
VISION BOUNDING BOX LOCATED99.4% Match
INVOICE NUMBER: EU-FR-9912
Model: Gemini 2.0 FlashLatency: 0.19s
EXTRACTED KEY-VALUE DATA
INVOICE NUMBER
EU-FR-9912
99.1% Match
VAT NUMBER
FR12345678901
97.8% Match
NET AMOUNT
€12,000.00
98.9% Match
VAT AMOUNT (20%)
€2,400.00
99.4% Match
✓ 100% Schema Validation Passed
DOCUMENT UNDERSTANDING CAPABILITIES

Built for Real-World Business Records.

No coordinate templates required. Google Gemini multi-modal vision models analyze spatial document structure and context automatically.

MULTI-MODAL AI

Header Metadata Extraction

Extract invoice numbers, vendor details, buyer orgs, GSTIN/VAT IDs, dates, currencies, and payment terms.

Multi-modal Vision Enabled
NESTED TABLES

Itemized Table Parsing

Extract line item descriptions, quantities, unit prices, discounts, line totals, and subtotal arrays.

Multi-modal Vision Enabled
MULTI-CURRENCY

Multi-Language & Currency

Process international bill formats, currency symbols (₹, $, €, £), and multi-lingual invoice text.

Multi-modal Vision Enabled
ALL FORMATS

PDF, PNG, JPG, TIFF, BMP

Support native vector PDFs, multi-page document archives, low-resolution scans, and mobile photos.

Multi-modal Vision Enabled
ENTERPRISE DOCUMENT INTELLIGENCE

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.

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