Text Recognition (OCR)
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ID Verification
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Verify the liveness of ID documents instantly at the point of onboarding. The liveness engine detects photocopies, cutouts, or images displayed on monitors or mobile screens with 99% accuracy. It also analyses the document for photo and data alterations to identify ID tampering and fraud.
Learn moreExtract data from global ID documents (single-sided and multi-sided). Indian documents supported for OCR are PAN, Aadhaar, Passport, Voter ID, Driving Licence (new chip formats), Registration Certificate (new chip formats), Cheque, GST certificate and Form 16.
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The vast majority of application rejections are caused when incorrect documents are uploaded by your customers. You can minimise upload errors and backoffice reivews and resubmissions by classifying and verifying the document types at the point of onboarding.
Learn moreConvert multiple input file formats (e.g. jpg, tiff, pdf, png, bmp, webp etc) to a standard out format (e.g. PDF or JPG). Most customers find it difficult to convert documents before uploading and you can allow multiple documents but convert it as you need it after they are uploaded.
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Customers find it hard to reduce file size to your needs. Instead, give customers the freedom to upload larger files but compress them before they are stored in your servers. You can also compress documents already in your servers for more new documents to occupy the same unit space.
Learn moreScan documents with ease fully integrated inside your mobile App. Scanned pages are compressed and collated to a single PDF. This is useful when you would want your users to upload additional documents that don't require OCR (e.g. Rental Agreements or Insurance Documents).
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Automatically rotate documents if they are uploaded incorrectly by customers. This will ensure that all of your documents are held uniformly in your document storage. Besides, it will reduce friction and enable faster application completion.
Learn moreSplit PDF/TIFF file into its constituent parts (e.g. Single customer PDF file can be split into Application, Proof of ID, Proof of Address, Photograph etc as separate images). This is useful when you want to extract individual pages from files submitted by your customers.
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Capture static signature from Application form or blank sheet of paper. Removes noise and converts the image to JPG or PNG and provides high resolution and low-resolution images as output. The high-resolution images can be used for signature verification and low resolution for CKYC uploads which needs to be below 25KB in size.
Learn moreYou can crop face photos from Applications that are uploaded together by your customers or Agents. Multiple photos pasted to the application can be cropped at the same time. The engine can also rotate the face images if they are stuck at an angle to the application, saving thousands of hours of manual effort.
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Offline Android and iOS components for identity capture. Works without internet connection. Quick integration into your native Apps. Tested in over 1000+ mobile devices.
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Restful APIs that can be integrated instantly without worrying about infrastructure or auto scaling. Our battle tested AWS environment is ISO 27001:2013 certified and monitored 24x7.
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Use our technology deployed as Docker containers in your own servers. In this set up there are no external calls outside your servers giving you total control over your data.
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Get started instantly and begin your identity verification projects. The dashboard provides you with everything you need to onboard your customers as per prevailing regulations.
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