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iVCam Webcam

iVCam Webcam

俊红 柴

Utilities免费v7.3.2
App Store
评分

4.3

14,593 条评分

星级

★★★★☆

最近更新

2025年11月12日

发布日期

2016年11月15日

更新内容

v7.3.2

- iOS 26 adaptation; - Fixed issues in the Settings.

应用信息

开发者
俊红 柴
分类
Utilities
价格
免费
版本
7.3.2
App ID
1164464478

简介

Why buy a webcam since you already have an iPhone/iPad? iVCam turns your iPhone/iPad into an HD webcam for Windows PC. You can also replace your old USB webcam or integrated webcam with it which has a better quality. At the same time it's also a perfect baby monitor, spy-cam, security camera and pet-cam. No enough space on your device? iVCam can record the video directly to your PC, works just like a remote video recorder! Setting up iVCam is very simple - just download and install our client software on your PC and you're ready to go! The connection is fully automatic and requires no manual configuration. Main Features: - High-quality, real-time video with low latency and fast speed - Automatic connection via Wi-Fi or USB and easy to use - Connect multiple devices to one PC at the same time - Support common video sizes such as 4K, 2K, 1080p, 720p, 480p, 360p, etc. - Advanced camera settings - AE/AF, ISO, EC, WB and Zooming - Configurable for video frame rate, quality and encoder - Landscape and Portrait mode supported - Support front/rear, wide angle/telephoto cameras and real-time switching - Support for face beautify, flash, manual/auto focus and video flip/mirror - Background replacement - Blur, Bokeh, Mosaic, Green Screen and more - Audio supported, use your smartphone as a wireless microphone for PC - Completely replaces USB webcam or integrated webcam, compatible with most applications using webcam - Preview video, take pictures and record video files with our Windows client software Install required Windows client software from https://www.e2esoft.com/ivcam. Terms of Use: https://www.e2esoft.com/ivcam/terms-of-use

下载量预测

专业 · 预览

预估总下载量

1.5M973K2.9M
保守估计乐观估计

8K

低 / 月

13K

预估 / 月

25K

高 / 月

基于14,593 条评分
假设评分率1.0%
应用年龄116 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。