Call Blocker - Phone - ID by Applika GmbH presents itself as an all-in-one telephony solution for Android devices, merging traditional phone functionality with advanced spam protection capabilities. The application positions itself in the crowded call management market by offering both proactive and reactive call screening features without requiring multiple applications. The application's core functionality revolves around its dual-layer identification system, which cross-references incoming calls against known spam databases while simultaneously providing real-time caller identification for unknown numbers. The integrated T9 dialer enables quick contact searching through both numeric input and alphabetical name matching, while the blocking system allows users to create custom block lists based on specific numbers, patterns, or entire number ranges. The post-call analysis feature provides detailed information about missed calls from previously unidentified numbers. User experience centers around a streamlined interface that maintains visual consistency with native Android dialer conventions while adding blocking controls directly into the call log interface. The application processes incoming calls through multiple verification stages before ringing, introducing minimal latency according to performance testing. Real-world usage patterns show most users employ the automatic blocking features for known spam categories while maintaining manual control over borderline cases through the customizable block lists. No specific user reviews are available for detailed analysis at this time, though the application maintains a 4.39/5 rating across the Android ecosystem. This suggests generally positive reception among users who have adopted the solution, though the absence of detailed feedback limits deeper insight into specific user experiences or recurring issues. The application demonstrates particular strength in its comprehensive approach to call management, though potential limitations include reliance on crowd-sourced spam databases that may have varying accuracy across regions. Ideal use cases include users receiving high volumes of unsolicited calls, professionals maintaining separate business and personal lines on single devices, and individuals seeking to maintain call functionality while minimizing interruptions from unknown callers.