Whether you run on mobile (Android and iOS apps) or in-browser, BlinkID has fully integrated ID document scanning SDKs available to suit your diverse needs. Implementation is fast and easy, allowing organizations to deploy industry-leading identity document scanning services — with accuracy and security at scale.
Whether on an Android, iOS, or cross-platform app, BlinkID has the ability to turn any smartphone camera into an AI-powered ID scanner. Our fleet of SDKs are equipped with thorough documentation including instructions on software requirements, initial integration steps, customizations, field recognition, and more.
With our in-browser SDK, your organization’s website or web app will be able to scan identity documents with speed and precision — via a simple JavaScrip integration. BlinkID works in any browser that supports WebAssembly, specifically the latest versions of: Mozilla Firefox, Apple Safari, Google Chrome, and Microsoft Edge.
For clients looking to implement BlinkID directly through a computer operating system (Windows, macOS, Linux) application or with custom hardware (e.g., a check-in kiosk), our C SDK accommodates more advanced integrations. This option is also designed for server-side solutions where quick runtime is essential or mobile apps that run on native code.
BlinkID transforms standard OCR (optical character recognition) technology into intelligent image capture, making life simpler for hundreds of millions of users around the world. Microblink’s database of over 2,500 ID types (across 140 countries) illustrates the power of AI-based document scanning that is trained on proprietary machine learning models.
Regardless of ID orientation, lighting, or camera angle, BlinkID delivers 5x faster processing speed and near-perfect accuracy with every user scan attempt.Utilize auto-classification to extract and match relevant data fields from both sides of a submitted identity document, ensuring consistent, structured output and formats.
BlinkID handles all processing on-device to ensure no user information is sent to third-party servers. Field anonymizer easily configures ID scanning to mask certain parts of an identity document (redacted text or cropped images), while our age verification feature provides warning notifications for IDs beyond a certain date of birth.
In addition to our SDK offerings, BlinkID can also be integrated as a cloud or in-browser API (application programming interface).
Our cloud-based API is an off-the-shelf integration that allows clients to scan IDs by sending encrypted images to a Microblink endpoint, which will then submit a response with parsed results back to the client’s application (deleting the image to follow security best practices).
Our self-hosted API runs in isolation alongside other pieces of a client’s backend web application — essentially, a self-hosted BlinkID API can run anywhere.
Whether you need to onboard new users on your mobile app, authenticate log-in attempts from your website, or seek a fully automated hardware solution, BlinkID has an integration option to meet your organization’s unique needs.
The world’s most trusted and flexible AI-enabled scanning solution, our proprietary technology never stops growing and learning. Processing is done entirely on-device (with regional compliance regulations in mind), so information never has to leave your platform.
By delivering speed and accuracy at scale, BlinkID further delivers on the promise of unmatched user experience — guiding your most valuable stakeholders to a successful scan every time.
Among all participating vendors, Microblink was the only provider to meet RIVR “high performing” system benchmarks across every measured accuracy metric.
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