DOCUMENT INFERENCE AI OCR

Document AI Without Additional Training

Predefined document types can be processed without retraining the model. The system adapts to certain layout and field-name changes, separates pages, identifies document types, and extracts required fields based on meaning.

NO ADDITIONAL TRAINING

Adapt to Changing Documents Without Retraining

Document types and extraction fields are defined during initial deployment. Pre-agreed document types then adapt to certain layout and field-name changes without retraining the model.

Document inference AI that classifies documents and adapts to varying terminology and formats without additional training

Apply Without Repeated Training

Process defined document types without repeated model training when formats change partially.

Automatic Document Classification

Separate pages and determine document types by analyzing their structure and content.

Meaning-Based Field Extraction

Interpret context and connect synonyms or abbreviations to a common business meaning before extracting required fields.

Adaptive Processing

Adapt to layout and field-name changes, with configuration adjustments for major structural changes.

Document inference AI workflow covering preprocessing, page separation, document classification, and field extraction

INFERENCE PROCESS

From Preprocessing to System Integration

Document inference AI supports image correction, document classification, meaning-based extraction, validation, and system integration across the entire workflow.

Document inference AI process from image preprocessing and classification to extraction, validation, JSON generation, and integration

No Document-Specific Retraining

Reduce retraining for every new document format
Adapt to changes in layout and field names
Process portrait, landscape, and multi-page documents

Automatic Image Preprocessing

Correct tilted or captured documents
Handle distortion, glare, and partial image issues
Manage preprocessing and validation errors separately

DOCUMENT TYPES

Use Across Diverse Business Documents

In workflows with diverse or frequently changing formats and extensive manual classification or entry, identify documents and extract required fields with less document-specific training.

Trade and Logistics

Classify and extract fields from PO, SR, Invoice, Packing List, B/L, and Arrival Notice documents.

Accounting and Tax

Process tax invoices, transaction statements, vouchers, card receipts, and tax notices.

Financial Documents

Identify key information in vouchers, bank receipts, and financial application forms.

General Business Documents

Recognize forms such as applications, contracts, and certificates and structure their business fields.

OPERATION

Designed for Real Operations

Support high-volume processing, data security, diverse input formats, and real-time monitoring.

Concurrent Processing

Use multi-threaded processing to handle multiple documents and reduce workflow bottlenecks.

ZDR(Zero Data Retention)

Customer content is not retained during external inference processing, subject to policy exceptions.

Multiple File Formats

Process PDF, JPG, JPEG, PNG, BMP, TIF, TIFF, and multi-page PDF files.

Real-Time Monitoring

Review document processing stages, results, and errors from a dashboard.

Structured Output

Generate validated data as JSON or another format ready for downstream systems.

Deployment Tailored to Your Environment

Deploy within the customer's environment and tailor integration with data input and output systems such as ERP, groupware, and RPA to operational requirements.

DEMO VIDEO

Document Inference AI OCR Demo

See how images are preprocessed, documents are classified, and required fields are extracted without training for each document type.

Explore OCR without document-specific training.

Using sample documents, we assess classification, meaning-based extraction, and system integration without separate model training.