Document Intelligence · OCR

FinOS eDocAIReduce document processing from hours to seconds — OCR, extract, validate and generate.

AI-powered document intelligence — OCR, classification, data extraction and auto-generation of reports turning unstructured documents into actionable data.

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One engine · four AI modules

OCR EngineHandwritten + Printed

ClassificationAuto-categorize

Data ExtractionStructured fields

Auto-ReportPDF · Excel · JSON

See eDocAI in action

A short demo of the document processing pipeline end-to-end.

Key Features

A complete pipeline from raw scan to structured output — with a human-in-the-loop fallback for edge cases.

Smart OCR

High-accuracy text extraction from scanned, photographed or digital documents
Handles skewed, low-resolution and handwritten content

Auto Classification

Automatically categorizes documents (ID, contract, invoice, financial statement, etc.)
Configurable classification rules per business

Structured Data Extraction

Extracts key fields (names, dates, amounts, account numbers) into JSON
Custom extraction models per document type

Validation Engine

Cross-validates extracted data against business rules and reference databases
Flags inconsistencies for human review

Report & Proposal Auto-Generation

Generates filled templates (loan proposals, risk reports) from extracted data
Reduces manual drafting time by 80%+

Human-in-the-Loop

Low-confidence extractions routed for manual review via web UI
Feedback loop continuously improves model accuracy

Process · 7 steps

How It Works

A 7-stage pipeline from upload to structured output — with optional template generation.

Start

Ingest

Upload

Document uploaded via API, SDK, or web UI.

Uploaded via API/SDK/web

Classify

Auto-classification identifies document type.

Auto-classified

OCR

OCR engine extracts text from the document.

OCR text extraction

Extract

NLP models extract structured fields.

NLP field extraction

Validate

Validation rules applied to flag inconsistencies.

Validation rules applied

Output

Structured JSON returned via API/webhook.

Structured JSON returned

Generate

Optional auto-generation of output document from template.

Doc generated from template

Done

Use Cases

Loan Application Processing

The Challenge

Credit officers at Vietnamese banks manually key data from pay slips, bank statements and ID documents into core banking systems — a process that takes 30–60 minutes per application and introduces transcription errors that delay credit decisions. Document backlogs at peak periods stretch approval times to several days, eroding customer satisfaction and competitive position.

How eDocAI Helps

eDocAI automatically ingests uploaded applicant documents, runs OCR and structured-field extraction in seconds, and cross-validates figures against business rules before delivering a clean JSON payload to the loan origination system. Credit officers receive a pre-filled proposal template ready for review, eliminating re-keying entirely.

Business Impact

↓ 90%Reduction in manual data-entry time per application

<30 secEnd-to-end document processing per applicant file

↑ 3×Daily throughput per credit officer

Frequently Asked Questions

Yes — with lower accuracy than printed text. Continuously improving.

Ready to implement eDocAI?

Talk to our team about your integration plan — we'll respond within 1 business day.

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