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Document Intelligence

Document AI Workbench

OCR + RAG — search and extract intelligence from your enterprise documents

Semantic SearchThai + EnglishRole-Based AccessAudit TrailMulti-Source

Problems We Solve

Four enterprise document problems that Document AI Workbench is purpose-built to solve.

Vast document libraries, slow information retrieval

Departments hold thousands of files but must open them one by one to find information — wasting hours every week.

Traditional OCR lacks contextual understanding

Basic OCR converts images to text, but cannot understand document structure, tables, form fields, or semantic meaning.

Knowledge trapped in PDFs, Word files, and purchase orders

Policy docs, manuals, purchase orders, and contracts hold critical data, but no system surfaces it on demand.

Need AI that answers questions from internal documents

Teams want to ask "What does our contract with Supplier A say about penalty clauses?" and get a direct answer, not just search results.

Platform Capabilities

A complete capability set for end-to-end document intelligence — from ingestion to Q&A.

Multi-format document support

PDF, Word, Excel, PowerPoint, images, and scanned documents — all ingested into a unified pipeline.

OCR + layout analysis

Understand document structure beyond raw text — tables, forms, invoices, headers, and column-level extraction.

RAG pipeline — semantic search

Search by meaning, not just keywords. The system understands intent and returns answers with cited source passages.

Multi-language support

Thai and English documents handled natively across OCR, indexing, and Q&A — answer in either language.

Multi-source storage connectors

Connect to SharePoint, Google Drive, local file servers, and S3 without migrating your files.

Role-based access control

Define who can see which documents — the RAG engine respects access permissions per user and group.

Full audit trail on every query

Every query, user, accessed document, and response is logged immutably for compliance and security review.

Structured data extraction

Extract specific fields — amounts, dates, party names — from invoices and contracts automatically.

How the RAG Pipeline Works

From document to OCR to embeddings to vector search to cited Q&A — in seconds.

STEP 01
Upload / Connect
PDF, Word, Excel, scanned
STEP 02
OCR + Parse
Layout, tables, forms
STEP 03
Embed + Index
Vector semantic index
STEP 04
Q&A + Cite
Answer with source citation

Pilot Pricing

Start with a time-boxed Pilot to prove value before expanding scope.

Document AI Pilot Package
Contact for Pricing

Price varies by document volume, storage types connected, and access control complexity.

What's included

  • Ingestion pipeline for up to 3 document types
  • OCR + layout analysis engine
  • RAG Q&A interface (web + API)
  • Thai + English language support
  • Role-based access control configuration
  • Connector to 1 source (SharePoint or Google Drive)
  • Audit trail dashboard
  • Training session + user guide

Ready to let AI answer questions from your documents?

Document AI Workbench turns your hard-to-search document library into an instantly queryable knowledge system — with enterprise-grade access control and a full audit trail.

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