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Document AI

Document AI that turns documents into structured data

Document AI (Intelligent Document Processing) combines OCR and AI to read, classify and extract data from documents. Many processes still start with invoices, purchase orders, forms or import documents; Document AI turns them into structured data that is validated before it enters your systems.

OCR & Intelligent Document Processing

  • OCR & data extraction
  • Automatic document classification
  • Human review before data enters the system
  1. 01Incoming documents
  2. 02OCR
  3. 03Classification & extraction
  4. 04Validation
  5. 05ERP / target system

Business problems

Business problems we solve

Document data is retyped

Staff copy numbers, dates, amounts and line items from documents into systems one by one.

Input errors are hard to catch

Small mistakes in amounts or document numbers only surface during reconciliation.

Volumes spike in busy periods

Document backlogs hold up payments and reporting.

What we build

What we build

  • 01

    Intelligent Document Processing

    An end-to-end flow from incoming documents to extraction, validation and storage in your systems.

  • 02

    OCR & Data Extraction

    Read text from scanned documents and photos, including tables.

  • 03

    Document Classification

    Recognize document types automatically and route them to the right process.

  • 04

    Structured Data Extraction

    Turn document content into structured fields such as numbers, dates, amounts and line items.

  • 05

    Human-in-the-loop review

    A verification interface for data with low confidence scores.

Example applications

Example applications

  • Invoice to ERP

    Vendor invoice data is extracted and matched against purchase orders before posting.

  • Import documents

    Data from invoices and packing lists helps prepare customs documents.

  • Forms & applications

    Data from scanned forms enters the system without retyping.

Architecture & approach

Architecture & approach

Every field has a confidence score; only uncertain data is reviewed by people.

  1. 01

    Collect samples

    Real document samples for every type and format variation.

  2. 02

    Extraction & rules

    OCR, field extraction and business validation rules such as PO matching.

  3. 03

    Review

    Staff verify low-confidence data through a review interface.

  4. 04

    Integration

    Validated data is sent to the ERP or target system through an API.

Technology & integration

Technology & integration

  • Python
  • OCR
  • LLM API integration
  • Validation rules
  • REST API
  • ERP integration

Deployment

Deployment models

Option Description Best for
Cloud Document processing on cloud servers with controlled storage.
  • Fluctuating document volumes
On-premise Processing on internal servers for documents that must not leave.
  • Financial & confidential documents

FAQ

Frequently asked questions

What if the extraction is wrong?
Every field has a confidence score. Data below the threshold is routed to staff for verification before it is saved.
Can it read photographed documents?
Yes, as long as the text is legible. Photo quality affects accuracy, so we recommend capture guidelines for users.

Ready to discuss your requirements?

Tell us about your context and goals. We will help map the solution, priorities and an initial estimate.