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From Manual Invoices to automation with 99.9% extraction accuracy: How Iyuno Reclaimed 250+ Finance Hours with AI

Overview

Iyuno is a global leader in localization, dubbing, and media services.

Sector

Manufacturing

Team size

2500+

Location

Global

Established

2002

Funding

Public

Core features

Invoice Processing automation

Problem

Iyuno's finance team was drowning in manual invoice processing. With ~400 invoices arriving monthly as PDFs in inconsistent formats, staff spent hours extracting PO numbers, amounts, and invoice numbers by hand.

Problem

Approach

N-square AI deployed a production-grade invoice extraction engine with dual-OCR strategy, LLM validation, and spatial intelligence. The system preserves layout context through bounding-box alignment, enabling precise extraction.deployed a production-grade invoice extraction engine with dual-OCR strategy, LLM validation, and spatial intelligence. The system preserves layout context through bounding-box alignment, enabling precise extraction.deployed a production-grade invoice extraction engine with dual-OCR strategy, LLM validation, and spatial intelligence. The system preserves layout context through bounding-box alignment, enabling precise extraction.deployed a production-grade invoice extraction engine with dual-OCR strategy, LLM validation, and spatial intelligence. The system preserves layout context through bounding-box alignment, enabling precise extraction.