Document AI & Knowledge Systems
Document Extraction & Classification
AI models that identify what each document is and pull out the specific fields you need, returning clean, structured data ready for your applications, databases or downstream workflows.
Overview
Why it matters
for your business.
Mixed bundles of files are hard to work with. A single loan application might contain ID proofs, bank statements, salary slips and property papers in one PDF. We build extraction and classification components that split bundles, label each document type and capture defined fields such as names, dates, amounts, PAN or GSTIN numbers and line items.
Unlike a full processing workflow, this service focuses on the extraction engine itself, delivered as an API or module your team or platform can call. We define field schemas with you, assemble a labelled test set and report field-level accuracy honestly. Confidence scores accompany every value so your application decides what to trust and what to send for review.
What's included
- Document taxonomy and field schema definitions
- Classification model for your document types
- Field extraction with confidence scores
- Document splitting for multi-document bundles
- REST API returning structured JSON output
- Field-level accuracy report on labelled test set
Outcomes
What changes
for your business.
Ideal for
- Fintech and lending platforms
- SaaS products adding document upload features
- Back offices sorting mixed incoming paperwork
Structured data on demand
Unstructured files become consistent JSON your developers can store, search and process immediately.
Automatic sorting
Incoming documents are labelled by type, so each one reaches the right queue or team.
Known reliability
Field-level accuracy figures and confidence scores show where automation is safe and where review is needed.
How we deliver
A clear, accountable
process.
Every engagement follows the same disciplined approach, adapted to the size and urgency of your project.
- 01
Identify
We find the use cases and processes where AI or automation clearly pays off, and estimate the impact.
- 02
Prototype
A proof of concept on your own data shows what works before you commit to a full build.
- 03
Deploy
We integrate with your systems, add guardrails and human review, and train your team.
- 04
Monitor & improve
Accuracy, cost and usage are tracked, and the solution is tuned as your data and needs change.
Ways to work with us
- Fixed-price projectsDefined scope, milestones and deliverables.
- Implementation & integrationOne-time technology deployment and integration.
- Time & materialFlexible delivery based on actual effort and resources.
- Monthly managed servicesRecurring application, IT, marketing or infrastructure support.
FAQ
Common
questions.
Something else on your mind? Ask us directly.
How many sample documents do you need to train extraction?
It depends on variety. Pre-built models for invoices, receipts and IDs may need only a small test set. Custom document types typically need a few dozen labelled examples per layout to start, with more improving reliability. We advise once we see your samples.
Can extracted data include tables and line items?
Yes. Table and line-item extraction is supported for invoices, statements and similar documents, though complex or multi-page tables are harder. We validate totals against line items where possible and flag inconsistencies for review.
Let's talk about Document Extraction & Classification.
Tell us what you need and get a clear plan and proposal, free and with no obligation.