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Description
Socure Predictive DocV provides fast, secure, and accurate identity verification, enabling businesses to onboard customers, verify identities, and prevent fraud effortlessly. With its cutting-edge technology, Socure Predictive DocV allows users to capture and upload their government-issued IDs, instantly verifying documents for authenticity. The app supports a wide variety of global ID types and automatically detects tampering or fraudulent documents. This ensures compliance with Know Your Customer (KYC) and Anti-Money Laundering (AML) regulations. Key Features: Document and Selfie Verification: Instantly verify identities by comparing the document's headshot with a live selfie. Socure Predictive DocV’s advanced facial recognition and liveness detection prevent fraudulent attempt. Real-Time Feedback: Users get immediate guidance during the capture process, ensuring the images meet quality standards, reducing failed attempts, and improving conversion rates. Fast, Reliable Performance: Socure Predictive DocV processes thousands of transactions quickly without sacrificing accuracy, making it perfect for businesses of any size, from startups to large enterprises.
What's New
Version 5.2.5 2025-08-14
Improved error messages Technical Analysis
Package Overview Basic metadata
Bundle ID
com.socure.capture.public Current Version 5.2.5
Minimum iOS 15.6
Package Size App Store Size
Package Metadata 0 / 3 version records
Detailed binary, privacy manifest, framework, and Info.plist results have not been indexed for this package yet. The verified App Store and archive metadata above remains available.
Known Version Records
0 version records with stored package metadata • 3 known version records
Stored metadata does not guarantee a package is currently available to download.
| Details | Version / IDs | Version date | Action |
|---|---|---|---|
| Not archived | App Store ID: 877262040 | Unknown | Request Version |
| Not archived | App Store ID: 876975082 | Unknown | Request Version |
| Not archived | App Store ID: 876779012 | Unknown | Request Version |