Quickly understand your Wi-Fi network, identify connected devices, and monitor performance. Spot unfamiliar devices, track changes, and export results for detailed analysis. Ideal for home users, travelers, and tech enthusiasts seeking network insight.
1.2
September 22, 2026
Your network, explained with on-device AI. ScanLan 1.2 introduces more helpful Insights that go beyond counts and port numbers: • Understand what matters, what changed, and what to review next. • Connect service observations to specific hosts by name and IP address. • Get clearer explanations of remote-access and possible camera/streaming services, without treating every open port as a threat. • Use Apple on-device AI on compatible devices, with local summaries when AI is unavailable. Scan reports aren't sent to an external AI provider. • Open the scanner, Insights, and history with Siri and Shortcuts. • Enjoy a cleaner dashboard, more readable Insights, and improved network-check reliability. On-device AI requires a compatible device, supported OS, and an available Apple Intelligence model. AI summaries may be imperfect; verify important findings.
MoreScanLan helps you discover connected devices on your Wi-Fi, run speed tests for latency, download, and upload, and spot unfamiliar devices or open services. It also allows you to compare scans to see what has changed on your network.
No, ScanLan is a paid application. It is available for a one-time purchase price of $0.99.
ScanLan is available for Mac, iPhone, and iPad, making it versatile for different Apple devices.
The latest version of ScanLan is 1.1, and it was last updated on March 3, 2026. This indicates a recent update and ongoing development.
ScanLan has an age rating of 4+, making it suitable for a wide range of users.
Yes, ScanLan allows you to export your scan results in CSV, JSON, and TXT formats, which is useful for sharing or keeping records.
No, ScanLan is ad-free, providing an uninterrupted user experience.
Based on the available data, ScanLan has a perfect rating of 5.0 stars from one rating, suggesting a highly positive user sentiment.
