Wrapped 2025 is a macOS app that analyzes your iMessage and WhatsApp texting habits locally, providing insights like top contacts, response times, personality types, and activity patterns without sending data online. It ensures privacy by running entirely on your computer.
Free
How to use Wrapped 2025?
Download and run the script on your Mac via Terminal, grant disk access, and it processes your message metadata in about 30 seconds to generate a detailed report. It helps users understand their communication patterns, identify frequent contacts, and gain self-awareness about texting behaviors.
Wrapped 2025 's Core Features
Analyzes iMessage and WhatsApp metadata locally without internet, ensuring complete privacy and security by keeping all data on your device.
Generates comprehensive stats including total messages, top contacts, response times, personality types, and activity graphs for a full year overview.
Provides personality diagnoses based on texting habits, such as 'Nocturnal Menace' for late-night texters, adding a fun, personalized touch.
Includes group chat analytics, showing active groups, message contributions, and top group conversations to understand social dynamics.
Offers a combined mode that merges stats from both iMessage and WhatsApp, reconciling contacts across platforms for unified insights.
Displays a GitHub-style contribution graph to visualize texting activity throughout the year, highlighting busy and quiet days.
Runs in approximately 30 seconds on Mac, requiring minimal setup with clear Terminal commands and no server uploads.
Wrapped 2025 's Use Cases
Social media managers can analyze personal messaging trends to optimize communication strategies and understand audience engagement patterns.
Students track their texting habits to balance social interactions with study time, identifying peak activity hours for better time management.
Remote workers use it to monitor work-life balance by analyzing response times and messaging frequency with colleagues versus personal contacts.
Privacy-conscious individuals appreciate the local processing to gain insights without risking data breaches or third-party tracking.
Friends and groups review their chat statistics to see who initiates conversations most, fostering fun discussions and improving group dynamics.
Researchers study communication behaviors anonymously, using aggregated metadata for academic purposes without accessing actual message content.
Productivity enthusiasts identify distractions by analyzing messaging patterns, helping reduce unnecessary texts during focused work periods.
