Document AI

Extract, classify, and route documents so teams stop retyping what is already on the page.

Close-up of a tidy desk with receipts, documents, and office stationery for business organization.
Photo by https://kaboompics.com/ on Pexels
Overview

Beyond scanning into a folder

Intelligent document processing is useful when people spend hours reading invoices, forms, contracts, or KYC packs and typing the same fields into another system.

WhiteGuava builds pipelines that extract those fields, classify the document, and push structured data into your workflow. That can use a specialised engine such as Google Document AI or Azure Document Intelligence when it fits, or a custom model and LLM extraction layer when your layouts are messy.

This applies just as well to a Word document AI workflow, contracts and forms that arrive as .docx rather than scans, as it does to PDFs and images. The extraction target matters more than the file format.

What We Build

What the system does

Extraction and classification

Identify the document type, pull the fields you care about, and flag low-confidence values for review instead of silently guessing.

Connected to operations

Output lands in your dashboard, ERP, or approval flow. A JSON dump that nobody uses is not a finished project.

Human review where it matters

Finance and compliance teams still need an audit trail. We add queues for exceptions rather than pretending every page is perfect.

Built for your document mix

Invoices, statements, IDs, and internal forms rarely look like the samples in a vendor demo. We tune the pipeline on your real files.

Choosing the right extraction engine

Google Document AI, Azure Document Intelligence, or a custom LLM-based extractor, the choice depends on your documents, not a fixed default.

Beyond PDFs and scans

Word documents, spreadsheets, and mixed-format submissions are handled with the same extract-classify-route pipeline as scanned paperwork.

Who This Is For

Where document AI is used

Finance teams processing invoices

Extracting line items and totals from supplier invoices and pushing them into your accounting or ERP system automatically.

Compliance and KYC review

Pulling structured fields from ID documents and forms while keeping an audit trail for anything a person needs to verify.

Operations teams buried in forms

Application forms, claims, and internal requests that currently get manually retyped into a system of record.

FAQs

Frequently Asked Questions

Google Document AI is one engine we can use. Many projects need a custom pipeline, review UI, and integration with your systems. We choose the extractor based on your documents, not a vendor default.
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