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AI Invoice Digitalization Built for Financial Accuracy

FinControl uses advanced OCR, structured data extraction, and dedicated AI infrastructure to transform invoices into reliable, accounting-ready data.

From Document to Structured Financial Data

Invoices arrive in different formats, layouts and languages.
FinControl converts them into structured, validated data in seconds.

Supported formats:

Whether invoices are digital or scanned, FinControl extracts and structures the information consistently.

What Data is Extracted

FinControl automatically detects and structures:

Supplier Information

Invoice Details

Financial Values

Accounting Fields

OCR + AI + Validation Layer

FinControl does more than simple text recognition.

Step 1

OCR (Optical Character Recognition)

Step 2

AI-based field identification

Step 3

Data structuring

Step 4

Confidence Scoring

Step 5

Critical field validation

Low Confidence Detection

Unlike basic OCR tools, FinControl identifies when extraction may be unreliable. FinControl converts them into structured, validated data in seconds.

Critical fields can be defined, such as:

If too many critical fields are missing or low-confidence, the system triggers an alert.
Automation with built-in caution.

No Public AI Processing

FinControl does NOT send invoice data to public AI platforms.

Processed on dedicated FinControl GPUs

Controlled LLM infrastructure

No OpenAI or external public engines

Secure processing environment

Human-in-the-Loop Control

AI assists your accounting team — it does not replace it.

Reviewed

Edited

Confirmed

Corrected

Built for Real Accounting Systems

The extracted data is structured specifically for:

Business Impact

Companies using FinControl digitalization achieve:

50–80% reduction in manual entry
Fewer typing errors
Faster invoice processing
Structured financial data
Improved compliance readiness