Complete IDP: classification, extraction and — what no one else does — source validation, in seconds.

OCR (Optical Character Recognition) is the technology that transcribes the characters of an image or PDF into text. For decades it was exactly that: reading what is written. The problem is that reading is not understanding, and transcribing is not validating. Generic OCR turns an ID into text — including a fake ID, which becomes fake data, neatly typed. That is the structural weakness of the category: it reads the lie just as perfectly as it reads the truth.

Kavuka OCR is, in fact, IDP — Intelligent Document Processing. It is a complete pipeline, not a transcription. First it classifies the document (what document is this? ID, license, proof, invoice?) without the user picking from a menu. Then it extracts fields with the structure understood — not loose text, but named data (name, tax ID, dates, amounts, addresses), with a per-field confidence level, even from imperfect photos. Next it validates content against official sources — the tax ID exists, the license matches, the company registration is active. And it flags tampering: font inconsistencies, overlays, editing patterns and metadata. Finally it decides and integrates: the structured result flows via API into the onboarding, credit, HR and finance pipelines.

The category’s recent frontier is multimodal models — vision LLMs — which broke the barrier of never-before-seen layouts: there is no longer a need to train a model for every document template. As a result, raw extraction accuracy became a commodity: extracting got easy. The value today lies in what happens after extraction. That is exactly where generic OCR stops and Kavuka IDP begins — in native source validation, the layer that checks the extracted content against the issuer and flags tampering, connected to the platform’s risk pipelines. Selling validated data, not extracted text, is the distinction that justifies the premium.

In the Kavuka portfolio, this OCR is the horizontal engine — the document gateway of every operation: onboarding, credit, HR and backoffice. It is distinct from Vehicle OCR, the vertical application for plates and logistics flow, and complements Digital Onboarding (the pipeline that consumes it), Face Match (the biometric counterpart of the identity document) and Data Enrichment (the registry complement). The synthesis is direct: from paper to validated data in seconds — a backoffice that scales without headcount, a funnel without the upload roadblock and the fake document stopped where it always got through.