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Microblink

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21 reviews
  • 1 profiles
  • 4 categories
Average star rating
4.6
Serving customers since
2013
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Microblink Reviews

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Harsh B.
HB
Harsh B.
Full-stack Developer at Tata Consultancy Services
11/01/2023
Validated Reviewer
Review source: Organic

MicroBlink

It is a great Ai tool and it is great in optimizing ml model for mobiles and web...
YM
Yogeshwaran M.
10/14/2022
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

MicroBlink Review

I mostly use MicroBlink for OCR solutions, Receipt processing, and Document & Identity verification in software development. It helps development faster and easier for these problems. It is a more accessible and easy-use service with high efficiency.
SN
Sudheer N.
10/11/2022
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

Good Optical Character Recognition platform with many solutions

It offers a wide range of solutions for scanning and verifying identity documents, and also it can give accurate details by showing the results of API in a JSON with X and Y coordinates and image text, language etc., and It supports most of the languages.

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HQ Location:
New York City, US

Social

@microblink

What is Microblink?

Microblink is the Identity Intelligence OS that establishes Know Your Actor: control over people and agents, how risk is assessed, and how decisions are made across digital journeys. Built for an adversarial AI era, Microblink replaces static verification with continuous identity control. As the only solution spanning IDs, biometrics, and payment cards, Microblink delivers a real-time command center where signals, policies, and decisioning can be calibrated with granular precision. Companies use Microblink to adapt faster than fraud, optimize outcomes over time, and enforce trust at scale across onboarding, authentication, and every moment in between. In 2025, Microblink processed 2.9 billion identities across 195+ countries/territories. Its proprietary Fraud Lab generates 100,000+ images monthly for training and testing models, achieving 100% deepfake detection in DHS-powered testing.

Details

Year Founded
2013