Intelligent Document Processing Services
AI that reads invoices, contracts, forms and ID documents, pulls out the fields you need and sends them to your systems.
OZRIT builds document AI that replaces manual data entry. It reads documents in many layouts, checks what it extracted against your rules, and sends only the uncertain items to a person, so volumes grow without the team growing with them.
Tell us what you need
A consultant replies within one business day. No sales deck.
- 17+years building softwareFounded in Hyderabad in 2009
- 500+in-house engineersFull-time, not freelancers
- ISO/IEC 27001:2022certifiedFor information security
- 98%client retentionLong-term partnerships
Intelligent document processing, explained
Every document your team retypes is a small delay and a small chance of error, every single day.
Intelligent document processing, often shortened to IDP, combines optical character recognition with language and layout models to turn unstructured documents into structured data. It handles invoices, purchase orders, contracts, bank statements, claim forms, identity documents and scans that arrive as photographs or PDFs, in layouts nobody standardised.
Accuracy comes from the whole pipeline, not one model. It starts with cleaning the image, then reading the text, finding the fields, validating them against rules and master data, and routing low-confidence results to a review screen. OZRIT builds the review screen too, so corrections are quick and the system learns from them.
We prove the approach on a sample of your real documents, report accuracy field by field, and then connect the output to your ERP, accounting or case-management system. The aim is a straight-through rate you can measure, with humans handling only what genuinely needs them.
- OCR and layout understanding
- Field and table extraction
- Document classification
- Contract and clause analysis
- Identity and KYC document checks
- Validation and matching
Intelligent document processing services
The pipeline from a scanned page to a clean record in your system.
OCR and layout understanding
Reliable text reading from scans, photos and PDFs, including tables, stamps and handwriting where legible.
Field and table extraction
Pull header fields, line items and totals from invoices, purchase orders and statements.
Document classification
Sort mixed batches into types, such as invoice, contract, ID or claim, and route each correctly.
Contract and clause analysis
Extract parties, dates, obligations and clauses, and flag terms that differ from your standards.
Identity and KYC document checks
Read ID documents, compare details across documents and flag mismatches for review.
Validation and matching
Check extracted values against rules, master data and purchase orders before anything is posted.
Human review workflow
A fast review screen for low-confidence fields, with corrections feeding back into improvement.
ERP and system integration
Send clean data to accounting, ERP, CRM, loan or claims systems through APIs or file exports.
How we build a document AI workflow
Six steps from a pile of documents to measured straight-through processing.
Prove and automate
Proof in 2 to 4 weeks
- 1
Collect representative documents
We gather a sample that covers your suppliers, formats, languages and awkward cases.
- 2
Define fields and rules
We agree which fields matter, how they are validated and what counts as acceptable accuracy.
- 3
Build and test extraction
We build the pipeline and measure accuracy field by field on documents it has not seen.
- 4
Add validation and review
We add rules, matching and a review screen so uncertain items reach a person quickly.
- 5
Integrate with your systems
We connect the output to your ERP, accounting or case system and test the whole flow.
- 6
Monitor and improve
We track straight-through rate and errors, and retrain as new document formats appear.
Document AI use cases
Where intelligent document processing returns time fastest.
Accounts payable
Capture supplier invoices, match them to purchase orders and prepare them for posting.
Banking and lending
Read statements, payslips and ID documents to speed up onboarding and credit decisions.
Insurance claims
Extract details from claim forms, reports and bills, and route cases by type and risk.
Legal and contracts
Pull key terms from contracts and compare them with your standard positions.
Logistics and trade
Process bills of lading, delivery notes, customs forms and packing lists.
Healthcare administration
Digitise referrals, lab reports and insurance forms, with review for sensitive fields.
Intelligent document processing for your industry
The same build applies across sectors, but the data, rules and risks differ. These are the industries where we are asked for it most.
Fintech app development
Fraud signals, credit scoring, document checks and support assistants for lenders, payments and banks.
Logistics app development
Route planning, ETA prediction, proof-of-delivery checks and exception alerts for fleets and supply chains.
Healthcare app development
Record summaries, triage support, scheduling and personalised plans for providers and health-tech teams.
Retail and eCommerce app development
Product search, recommendations, demand forecasting and support assistants for stores and marketplaces.
Education app development
Tutoring assistants, content generation, assessment help and engagement analytics for learning platforms.
Real estate app development
Lead qualification, property search, valuation support and document handling for developers and brokers.
The technology behind our document AI
We combine OCR engines, layout models and language models, chosen for accuracy on your documents and for privacy.
OCR and layout
Reading the page
- Tesseract
- PaddleOCR
- AWS Textract
- Azure Document Intelligence
- Google Document AI
Models
Chosen per task, cost and privacy need
- OpenAI GPT
- Anthropic Claude
- Google Gemini
- Meta Llama
- Mistral
- Hugging Face models
Workflow and integration
From page to system
- FastAPI
- Node.js
- PostgreSQL
- Redis
- REST APIs
- SFTP and webhooks
Cloud and deployment
In your cloud account or ours
- AWS Bedrock and SageMaker
- Azure OpenAI and ML
- Google Vertex AI
- Docker
- Kubernetes
What decides the cost of document AI
Document projects are priced by how varied the documents are and how strict the accuracy must be.
Variety of layouts
Many suppliers and formats need more testing than a few consistent templates.
Document quality
Poor scans, photographs and handwriting reduce accuracy and need extra handling.
Accuracy and review rules
Stricter targets mean more validation and a larger review workflow.
Languages and scripts
Additional languages and scripts add tuning and test data.
Integration scope
Each system that receives the data adds mapping and testing.
Volume and hosting
Document volume, speed needs and private deployment affect infrastructure cost.
Security and privacy in Intelligent document processing
A security or compliance team will ask where the data goes, who can see it and how quality is checked. These are the safeguards we build into every project.
Where your data lives
Models can run in your own cloud account or on private endpoints, with provider settings that stop your data being used for training. You choose the region.
Access control
Assistants respect the permissions of the person asking. Someone who cannot open a document cannot get its content through a chat window either.
Testing before launch
We build an evaluation set from your real cases and measure accuracy, safety and cost before and after every change, not just once at launch.
Certification and ownership
OZRIT is ISO/IEC 27001:2022 certified for information security. You own the code, prompts, models you commission and your data.
All eight AI safeguardsCertifications and AI frameworks we work to
Intelligent document processing: frequently asked questions
Straight answers on cost, timelines, data, security and ownership.
What is intelligent document processing?
It is the use of OCR, layout analysis and language models to read documents and turn them into structured data, with validation and human review for uncertain results. It goes beyond basic OCR by understanding fields, tables and meaning.
How is IDP different from OCR?
OCR turns an image into text. Intelligent document processing also works out which text is the invoice number, the total or the contract date, checks it against rules and routes doubtful items for review. The output is data your systems can use, not a block of text.
How much does document AI cost?
The cost depends on the variety of documents, their quality, the accuracy needed and the systems to connect. A discovery sprint from $1,000 tests the approach on your own documents and ends with a scoped quote.
How accurate is document extraction?
Accuracy depends on the document type and quality. We measure it field by field on your documents, and design a review step so that low-confidence fields are checked by a person before they reach your systems.
How long does it take to build?
A proof on a sample of your documents usually takes 2 to 4 weeks, and a first live workflow typically takes 6 to 10 weeks. Many layouts or complex integrations add time, which we plan before starting.
Can it read handwriting and poor scans?
It can read legible handwriting and improve many poor scans with image cleaning, but accuracy is lower than for clean print. We test on your real documents and send doubtful fields to review.
Does it work with Indian languages and mixed-language documents?
Yes, within the limits of the OCR and language models available for each script. We test on your documents, report accuracy by language and add review steps where accuracy is lower.
Can it connect to our ERP or accounting software?
Yes. We send extracted and validated data through APIs, file exports or database connections to ERP, accounting, CRM, loan or claims systems, and we can match invoices to purchase orders before posting.
Is our document data kept private?
We can run extraction in your own cloud account or on-premise, mask sensitive fields, limit retention and control access by role. OZRIT is ISO/IEC 27001:2022 certified for information security.
Do we still need people to review documents?
Fewer, and for the right items. Clear documents flow straight through, while low-confidence fields and rule failures go to a quick review screen. The share that flows straight through is a measure we report.
Test document AI on your documents
Send a sample of the documents you process and tell us what you need out of them. We will say what accuracy is realistic and what a first workflow would involve.
What happens next
- 1An AI consultant reads your note and may reply with a few questions.
- 2We hold a call to understand the problem, your data and the systems involved.
- 3If AI fits, we propose a discovery sprint or a scoped pilot with clear success measures.