ai分析上传图片显示过大,无法上传
如题
更新后仍然无法使用
总是显示检测到版本不是最新的,但已经更新过了,并且卸载了重新下载了,还是无法使用。
Mac上使用无法竖屏显示,希望可以优化一下
Mac上使用无法竖屏显示,希望可以优化一下
好用不贵,快捷高效
游泳运动训练的技术分析,也可以用得很轻松。 URSOT游泳运动训练体系,全力推荐教练智眼这个运动工具。
好
很实用的一款动作分析软件。对教练员和运动员在动作的分析,和动作改进有着很好的帮助。

This AI-powered tool captures and analyzes high-speed sports movements with detailed trajectory and speed analysis. It offers drawing tools, angle measurements, and multi-view comparisons to enhance coaching and training efficiency.
3.0.7
July 11, 2026
AI辅助分析增加详解与PDF导出功能 增加录制变焦功能
订阅1个月VIP
$89.99
终身会员
终身会员
教练智眼 is an AI-assisted software designed for recording and analyzing technical movements and tactical guidance in sports. It excels at capturing high-speed actions and providing detailed insights that are difficult to observe with the naked eye.
The application supports analysis for virtually any sport, including endurance, speed, strength, performance, accuracy, competitive, net-based, and combat sports. Its comprehensive features make it adaptable to diverse athletic disciplines.
The app is free to download and use with basic features. Premium features are available through subscription plans, which typically include a trial period, though specific trial durations are not detailed in the provided information.
教练智眼 offers monthly and annual subscription plans for its advanced features. Subscriptions are set to auto-renew, and users can cancel their subscription at least 24 hours before the current billing period ends through their iTunes/Apple ID settings.
Premium membership is priced at $3.99/month or $29.99/year. Cloud storage options range from 10GB for $188/year to 100GB for $1588/year, with prices subject to change via in-app purchases.
The app was last updated on May 29, 2026, indicating ongoing development and optimization. New analysis tools and features are continuously added through version updates.
Yes, 教练智眼 is supported on iPhone, iPad, and iPod devices, making it accessible to a wide range of Apple users.
The app has a rating of 2.7 stars based on 3 reviews. This indicates a mixed to negative user sentiment based on the limited available feedback.