AI Document Extraction System
A demonstration system that reads Thai–English scanned documents, extracts structured fields, and routes low-confidence items to human review.
This is a demonstration system, not a client deployment.
- Organization
- Document-intensive organizations
- Industry
- Financial services & government
01 / CHALLENGE
The Challenge
Scanned documents — application forms, official letters, supporting papers — arrive at organizations in volume every day, yet the data inside them still depends on staff reading and keying each record by hand.
Thai documents pose specific OCR challenges: no spaces between words, vowels above and below the line, and documents mixing Thai with English and complex tables. Generic off-the-shelf tools produce results too inconsistent for real work.
02 / APPROACH
Our Approach
We built a multi-stage pipeline: page-layout analysis first separates headings, tables, and paragraphs; OCR then reads the text; and a language model helps extract fields according to each document type’s template. Every value carries a confidence score.
Items below the confidence threshold enter a review screen showing the document image beside the extracted values for fast correction — and corrections are kept to improve the system. The demo was tested against a sample document set we prepared ourselves.
03 / FEATURE_SET
Key Features
Thai–English OCR
A pipeline designed specifically for Thai documents, including mixed-language pages.
Fields with confidence scores
Documents become structured data per document type, with per-field confidence.
Side-by-side review
Document image and extracted values in one screen for rapid correction.
API delivery
Confirmed data flows automatically into the organization’s downstream systems.
04 / PREVIEW
System Preview
