Intelligent Document Processing Services

KriraAI is an AI development company that builds custom intelligent document processing (IDP) solutions for enterprises and fast-growing businesses. Our document AI systems automatically capture, classify, extract and validate data from invoices, PDFs, scanned forms, handwritten documents, contracts, receipts and KYC documents, and send it straight into your business systems.

Intelligent document processing and document AI services.

What Is Intelligent Document Processing (IDP)?

Intelligent document processing (IDP) is an AI-driven technology that automatically reads, understands and extracts data from structured, semi-structured and unstructured documents, then validates it and sends it to business systems. Unlike basic OCR, which only converts images into text, IDP understands context. It knows which number is the invoice total, which date is the due date and which name belongs to the customer.

How Does Document AI Work?

KriraAI's document AI pipeline follows five steps:

Capture: Documents arrive from email, scanners, portals, mobile uploads or APIs in any format (PDF, JPG, PNG, TIFF, Word).
Classify: AI models identify the document type, such as an invoice, purchase order, bank statement, ID proof or contract.
Extract: Intelligent OCR, computer vision and NLP pull out key fields, tables and line items, even from scanned and handwritten documents.
Validate: Business rules, confidence scoring and human-in-the-loop review keep accuracy high.
Integrate: Clean, structured data flows into your ERP, CRM, accounting software, databases or AI agents through APIs.

Why Manual Document Processing Holds Your Business Back

Most organizations still depend on people to read documents and type data into systems. This creates problems that grow with every new document:

Slow turnaround

Invoices, claims and applications wait days in review queues.

Costly errors

Manual data entry introduces typos, missed fields and duplicate records.

High operational cost

Skilled teams spend hours on repetitive work.

Limited scalability

Volume spikes mean overtime, backlogs or new hires.

Compliance risk

Inconsistent processing makes audits harder.

If document handling is a manual, repeatable process in your business, there's a strong chance KriraAI can turn it into an AI system.

Our AI Document Processing Services

Document Data Extraction

We extract key-value pairs, tables, line items and free text from any document layout, using custom models trained on your real documents rather than rigid templates.

Intelligent OCR (AI OCR)

Our AI OCR reads low-quality scans, skewed images, multilingual text and handwriting, and understands what it reads. We've already built AI that evaluates thousands of handwritten exam scripts against official rubrics.

Document Classification

Mixed document batches are sorted automatically by type, so each document follows the right workflow without manual sorting.

Document Capture & Digitization

We digitize paper archives and incoming documents from every channel into searchable, structured digital records.

Secure Document Search with RAG

Using Retrieval-Augmented Generation (RAG), we build AI assistants that answer questions from your internal documents, with every answer grounded in verified sources. These can be deployed fully on-premise.

Data Validation & Human-in-the-Loop Review

Confidence scoring flags uncertain fields for quick human review, and every correction helps improve the model over time.

Document Automation & AI Agent Integration

We connect IDP output to your ERP, CRM and internal tools via APIs, and can pair it with AI agents that take the next action automatically, such as approving, routing or flagging documents.

Intelligent Document Processing Use Cases

Invoice Processing Automation

Capture vendor details, invoice numbers, tax amounts and line items with invoice OCR, then match them against purchase orders for faster accounts payable.

Extract Data from PDF & Scanned Documents

Convert native and scanned PDFs, including bank statements and reports, into structured Excel, JSON or database records.

KYC Document Verification

Extract and verify data from Aadhaar, PAN, passports and utility bills to speed up customer onboarding.

Receipt OCR & Expense Processing

Digitize receipts and expense claims for faster reimbursements and accurate reporting.

Contract Data Extraction

Identify parties, dates, renewal terms, obligations and clauses across large contract repositories.

Handwritten Document Processing

Read and evaluate handwritten forms, answer sheets and field records at scale.

Content & Document Quality Review

Automatically audit large documents, such as textbooks and manuals, for errors and compliance issues.

AI Document Processing for Every Industry

IDP vs Traditional OCR: What's the Difference?

Feature

Traditional OCR

Intelligent Document Processing

Output

Raw text

Structured, validated data

Understands context

Yes

Handles varied layouts

Needs fixed templates

Adapts to new layouts

Unstructured & handwritten documents

Poor

Strong

Learns over time

Yes

Validation & integration

Manual

Automated

In short, OCR reads text. IDP understands documents.

Proven Results from KriraAI Document AI Projects

Indian Navy, Secure Document Retrieval

Replaced manual document search with a fully on-premise AI assistant that grounds every answer in verified internal documents, with zero external data exposure.

Mittsure, Document Quality Review

Automated a five-specialist manual review chain, making the review cycle 99%+ faster, cutting costs by 75–80% and keeping missed defects under 1%.

Handwritten Exam Grading

Built an AI engine that scores thousands of handwritten answer scripts against an official rubric, reducing grading from weeks to minutes per paper.

PM KUSUM Scheme, Visual Verification

Replaced manual photo audits with AI verification that runs in under 40 seconds and detects pixel-level fraud.

"We were mainly concerned about AI accuracy for our use case. After testing, the solution achieved around 98% accuracy on our evaluated workflow." (Prashant Gupta, KriraAI client)

Explore Case Studies

How KriraAI Implements Intelligent Document

Processing

Discovery & AI Readiness Assessment

We audit your documents, data, workflows and systems.

Solution Architecture

Our research and engineering teams choose the right approach, whether a custom model, a cloud document AI service, an LLM pipeline or a combination.

Development & Training

We train and test the system on your real documents against business KPIs, not just model accuracy.

Integration & Deployment

We deploy into your existing tech stack via APIs, on cloud or on-premise, with monitoring from day one.

Optimization & Support

We monitor accuracy, retrain models and evolve the system as your document volume grows.

Document AI Technologies We Use

DevelopmentPyTorch

DevelopmentTensorFlow

DevelopmentHugging Face

DevelopmentKeras

Our in-house research team continuously tests new models for real-world accuracy and cost, so your IDP solution is built on what works today.

Why Choose KriraAI as Your Intelligent Document Processing Partner?

5+ years of AI delivery and 100+ projects delivered

Custom AI, not templates: every IDP system is built around your documents and workflows

Dedicated AI research team evaluating the latest models, RAG and fine-tuning techniques

Secure deployment on-premise or in your cloud, proven with defense-grade projects

Global delivery for clients across India, the USA and international markets

End-to-end ownership from strategy and development to integration and ongoing support

Ready to Automate Your Document Processing?

Stop losing time and money on manual data entry. KriraAI's research-backed engineering team will scope a custom intelligent document processing solution built around your documents, systems and goals.

Frequently Asked

Questions

Intelligent document processing (IDP) is an AI technology that automatically captures, classifies, extracts and validates data from documents such as invoices, forms, PDFs and contracts. It combines OCR, machine learning, computer vision and NLP to turn unstructured documents into structured data that business systems can use.

Document AI captures documents from any source, classifies them by type, extracts key fields and tables using intelligent OCR and NLP, validates the data with business rules and human review, and sends the clean data to ERP, CRM or other systems through APIs.

OCR converts images of text into machine-readable text but doesn't understand meaning. IDP uses AI to understand context, so it can identify specific fields like invoice totals or due dates, handle different layouts, validate data and integrate it into workflows automatically.

Yes. KriraAI builds AI OCR and computer vision systems that read scanned PDFs, mobile photos, low-quality images and handwriting. We have built AI that evaluates thousands of handwritten exam answer scripts automatically.

Accuracy depends on document quality and complexity. KriraAI tests every system against your real documents before go-live, and one client reported around 98% accuracy on their evaluated workflow. Confidence scoring and human review further improve accuracy for critical fields.

IDP can process invoices, receipts, purchase orders, bank statements, KYC documents, insurance claims, medical records, contracts, application forms, answer sheets, logistics documents and most other business documents, whether structured, semi-structured or unstructured.

Yes. KriraAI deploys document AI into your existing tech stack through APIs and can connect it to ERP, CRM, accounting and internal tools, or to AI agents that automatically take the next action on each document.

Yes. KriraAI builds fully on-premise document AI systems for organizations with strict data security needs. For the Indian Navy, we delivered a secure on-premise AI document assistant with zero external data exposure.

Most KriraAI AI projects take 4 to 16 weeks from discovery to deployment, depending on document variety, integrations and accuracy goals, followed by ongoing optimization.

Cost depends on document volume, number of document types, accuracy requirements, deployment model and integrations. KriraAI provides a transparent, scope-based quote after understanding your requirements, so you only pay for what your business needs.