Who is Microblink?
Microblink is a computer vision and Artificial Intelligence (AI) company that provides SDKs and APIs for document scanning, identity verification, and data extraction in digital onboarding and payments workflows.
- Computer-vision-based document scanning and data extraction SDKs and APIs for web and mobile applications (document processing)
- Identity verification and KYC orchestration using ID document capture, liveness checks, and data validation (digital identity)
- Payment and commerce enablement through receipt and invoice scanning, line-item data capture, and automation of purchase flows (payments automation)
- Cloud-hosted and on-device deployment options, with client libraries for common mobile platforms and server-side integrations (developer tooling)
- Focus on regulated and enterprise use cases, including financial services, insurance, and telecommunications onboarding (vertical solutions)
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More About Microblink
Microblink develops computer vision and Machine Learning (ML) products that enterprises embed into digital channels to automate data capture from documents and user interactions. Its offerings focus on converting images of identity documents, financial documents, and retail artifacts into structured data that can feed onboarding, verification, and transaction flows. Enterprises typically integrate Microblink components into native mobile apps, web front ends, or backend services to remove manual data entry and reduce friction in sign-up and checkout journeys.
In identity verification and KYC (digital identity), Microblink provides capabilities for scanning government-issued identity documents, extracting fields such as name, date of birth, address, and document number, and validating these against formatting and consistency rules. These capabilities are often combined with selfie capture and liveness checks, enabling financial institutions, fintechs, and other regulated organizations to build remote onboarding flows that meet compliance requirements while keeping interaction within their own UX. The technology uses optical character recognition (OCR), document layout analysis, and computer vision models tuned for ID formats from multiple regions.
In payments and commerce (payments automation), Microblink offers tools that recognize and parse receipts, invoices, and similar documents. Line-item extraction, merchant identification, tax and total detection, and categorization allow retailers, expense management platforms, and loyalty applications to automate bookkeeping, rewards calculation, and spend analytics. The underlying engines combine OCR, pattern recognition, and domain-specific parsers that understand common receipt and invoice structures.
From an architectural standpoint, Microblink supports deployment as cloud services accessed via RESTful APIs as well as mobile SDKs for iOS and Android that run processing on-device. This gives enterprises options for latency, data residency, and privacy requirements. Integration patterns typically involve client-side capture modules for guiding users through image acquisition, followed by server-side processing and response payloads in JSON that downstream systems can consume. Security practices include encrypted transport over HTTPS and alignment with enterprise authentication and authorization frameworks.
Within an enterprise technology directory, Microblink fits into categories such as document processing, digital identity verification, and payments automation. Its products System Integration Testing (SIT) adjacent to broader identity proofing, fraud management, and workflow automation platforms, often supplying specialized document and image-understanding capabilities that plug into existing orchestration engines. Organizations use Microblink to augment their customer onboarding, account opening, checkout, and expense flows with automated extraction and verification, while retaining control over the surrounding business logic, compliance rules, and user experience.
Our description of Microblink. Updated December 2025.
