OCR & document extraction

Turn Vietnamese and English documents into validated, structured data.

We build production workflows that turn invoices, forms, contracts, IDs, tables, and scanned PDFs into data your team can review, integrate, and operate. We work on Azure Document Intelligence, Amazon Textract, or Google Document AI, or build a custom extraction stack when your documents demand it.

Vietnamese + English
Validated outputs
Layouts, fields + tables
Workflow

From document to usable data.

A measurable pipeline with explicit validation and exception handling.

  1. 01

    Ingest

    Accept documents through upload, batch storage, or API.

  2. 02

    Recognize

    Read text, language, layout, and document structure.

  3. 03

    Extract

    Map fields, key-value pairs, and tables into a stable schema.

  4. 04

    Validate

    Apply confidence thresholds, rules, and human review.

  5. 05

    Deliver

    Send structured results to APIs, databases, exports, or business systems.

Use cases

Built around the documents your team actually handles.

Invoice and receipt processing
Forms and application intake
Contract and policy extraction
Identity and onboarding documents
Tables and scanned reports
Legacy archive digitization
Production capabilities

Extraction is only useful when the output can be trusted.

Quality targets are agreed against representative documents, not read off a demo.

  • Vietnamese and English recognition
  • Layout-aware OCR and document classification
  • Field, key-value, and table extraction
  • Confidence scoring and exception queues
  • Human-in-the-loop validation
  • API, database, and export integration
  • Evaluation datasets and measurable quality thresholds
  • Security, audit, and data-retention controls

Results depend on document type, scan quality, handwriting, layout variation, and the validation standard your process requires. We make those constraints measurable before rollout.

Engagement

A working pipeline your team can own.

Typical delivery: 3–6 weeks after a short fit call, depending on document variety, integrations, and acceptance criteria.

  • Representative-document assessment and extraction schema
  • Working OCR and structured-extraction pipeline
  • Validation rules, confidence thresholds, and exception handling
  • Quality evaluation results against an agreed test set
  • Integration code and deployment configuration
  • Architecture notes, runbooks, and team handoff

What documents are slowing your team down?

Bring representative files, required outputs, and the system they need to reach.

Tell us about your documents