Document AI and Intelligent Processing
Behind most slow processes is a pile of documents that someone retypes. Document AI reads them, checks them against what you already know, files what is certain and shows a person only what is not.
In short. Document AI and Intelligent Processing is one of Matrida Infotech's AI services. Invoices, claims, contracts and forms read, checked against your rules and filed into your systems, with uncertain fields sent to a person. Typical stack: Vision-language models · OCR engines · Azure Document Intelligence · AWS Textract · schema validation.
Sound familiar?
- Staff retype data from PDFs, scans and emails all day
- Documents arrive in dozens of layouts
- Errors are found after payment or filing
- Volume spikes mean backlogs
Capabilities
- Document classification
- Field extraction
- Table and layout understanding
- OCR with confidence scores
- Validation against your systems
- Exception queues
What we build
- Classification and extraction for your document types, including messy scans and mixed layouts
- A confidence score on every field, with a threshold you set
- Checks against your own data: supplier lists, policy numbers, totals that must add up
- An exception queue that shows the source with the doubtful field highlighted
- Straight-through filing into your ERP, claims or case system
What you get
- Working pipeline for your document types
- Accuracy report on your own documents
- Exception queue and reviewer guide
- Monitoring of straight-through rate
Tools and frameworks
- Azure Document Intelligence
- AWS Textract
- Google Document AI
- Tesseract
- Unstructured
- Pydantic
Where it fits: Financial Services, Healthcare, Manufacturing, Logistics & Supply Chain.
Questions
How accurate is it?
It depends on the documents. We measure field-level accuracy on a sample of yours before building the full pipeline, and set the confidence threshold so errors go to a person instead of into your systems.
What about handwriting and poor scans?
They are harder. Low-confidence reads are flagged rather than trusted silently, and we tell you early which document types are worth automating first.
Can it handle new layouts without retraining?
Modern models cope with many unseen layouts, but not all. We test on layouts the system has not seen and plan for the ones that fail.
Related services
AI Agent Development
We build AI agents that complete multi-step work inside your systems, with guardrails, human approval and full audit logs.
Learn more →RAG & Enterprise Knowledge Assistants
Private assistants that answer from your documents with citations, permission-aware retrieval and measured accuracy.
Learn more →Generative AI Application Development
Customer-facing and internal LLM products, from document drafting to AI copilots inside your SaaS.
Learn more →Planning Document AI? Tell us the workflow.
Say what is going wrong today. We reply with how document ai and intelligent processing would handle it, a rough scope and the first thing to build.
- You would get: working pipeline for your document types
- You would get: accuracy report on your own documents
- You would get: exception queue and reviewer guide