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Inspector Nexus

Inspector Nexus

Carbon Foundry, LLC

Business免费v1.8.107
App Store
评分

5.0

6 条评分

星级

★★★★★

最近更新

2026年5月12日

发布日期

2018年4月28日

更新内容

v1.8.107

Fixed a few (primarily) visual bugs from the previous version. If you have any questions, concerns, or feedback, please don't hesitate to reach out to us at support@inspectornexus.com.

应用信息

开发者
Carbon Foundry, LLC
分类
Business
价格
免费
版本
1.8.107
App ID
1269860712

简介

Inspector Nexus is the most intuitive and cost-effective home inspection software on the market. Featuring a clean, modern interface, Inspector Nexus allows you to quickly mark defects and take photos and videos during your home inspections. With build-as-you-go templates and an intuitive design, you'll produce appealing, modern, web-based inspection reports that clients and agents love, all in record time. The Inspector Nexus property inspection app is designed to sync seamlessly between all of your mobile phones, tablets, and desktop computers. Its web-based interface makes it compatible with Mac, PC, or any operating system with a web browser. Inspector Nexus Features: *Offline Inspections - absolutely no need for an internet connection until you're ready to publish your report *Offline Summary - review your recommendations with a client before leaving the site, even if you have no connection *Data is automatically synced to the cloud so it's at your desktop when you get home, or simply publish directly from the mobile app *Simple, clean layout and navigation *Customizable to suit your workflow *Take videos or use the library to add existing videos *Use the camera or photo roll for pictures *Photo editor can add annotations to point out defects with simple one-finger gestures *Multiple photos per defect *Automatic in-app content download for rapid feature addition and quick bug fixes Try Inspector Nexus risk-free by creating an account today, no credit card required.

下载量预测

专业 · 预览

预估总下载量

8006001K
保守估计乐观估计

6

低 / 月

8

预估 / 月

12

高 / 月

基于6 条评分
假设评分率0.8%
应用年龄98 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。