AI OCR & document intelligence.
Turn invoices, prescriptions, KYC documents, claims and forms into clean structured data. We combine modern vision models with validation logic and human-review queues — self-hosted, so documents with personal and financial data never leave your infrastructure.
Battle-tested domain
Our PharmaOS platform handles prescriptions, inventory and billing in production — document intelligence with real compliance stakes.
From paper and PDFs to structured data.
Invoice & receipt extraction
Vendor, line items, taxes, totals — extracted, validated against POs and posted to your accounting or ERP automatically.
Prescription & medical documents
Handwriting-tolerant extraction for pharmacy and healthcare workflows, with strict validation and human-review queues for low-confidence fields.
KYC & identity documents
IDs, proofs of address and registration documents parsed and cross-checked — onboarding that takes minutes, not days, on infrastructure you control.
Tables, forms & contracts
Complex layouts, multi-page tables, checkboxes and signatures — structure preserved, clauses and key terms surfaced.
Validation & exception handling
Business-rule checks, duplicate detection and confidence scoring — clean data flows through, exceptions queue for a human, everything is logged.
ERP & workflow integration
Extraction is half the job; we post results into your ERP, accounting, WMS or custom systems — or chain into AI agents that run the whole workflow.
Why 2026 OCR is a different technology.
Legacy OCR read characters and gave you text soup. Modern document intelligence reads documents the way a clerk does: it understands that this block is the vendor, that table holds line items, and the scrawl at the bottom is a signature. Vision-language models handle skewed scans, stamps, handwriting and layout variations that broke template-based systems — which is why processes that resisted automation for a decade are suddenly automatable.
The part that makes it production-grade is everything around the model: field-level confidence scores, validation against your business rules, human-review queues for exceptions, and audit trails for compliance. That pipeline — not the model alone — is what we build, and self-hosting means sensitive documents never cross a third-party API.
AI OCR questions.
How accurate is AI OCR?
On printed business documents, field-level accuracy of 95%+ is a realistic production target; handwriting and poor scans run lower. The design goal is not 100% — it is knowing which fields to trust: high-confidence data flows straight through, the rest queues for quick human review.
How much does AI OCR development cost?
A single document type (e.g. supplier invoices) with validation and ERP posting typically runs $5,000–$15,000; multi-document platforms are phased from there. Volume economics favour self-hosting quickly versus per-page cloud OCR APIs.
Can it handle handwriting and stamps?
Yes — modern vision models read most handwriting, stamps and annotations, with confidence scoring routing genuinely illegible cases to humans. Our PharmaOS work with prescriptions is exactly this problem.
Do our documents leave our servers?
Not unless you choose that. The full pipeline — models, storage, review queues — deploys on your infrastructure or our GPU servers under your data agreement, which is what makes finance, healthcare and legal use-cases viable.
Drowning in manual document entry?
Send us 20 sample documents. We will show you extraction accuracy on your actual paperwork before you commit to anything.