AppRecs review analysis
AppRecs rating 1.5. Trustworthiness 65 out of 100. Review manipulation risk 29 out of 100. Based on a review sample analyzed.
★☆☆☆☆
1.5
AppRecs Rating
Ratings breakdown
5 star
0%
4 star
0%
3 star
0%
2 star
100%
1 star
0%
What to know
✓
Low review manipulation risk
29% review manipulation risk
⚠
Mixed user feedback
Average 2.0★ rating suggests room for improvement
About Pixel-Count ML
Pixel-Count ML: Your Resolution Analysis Assistant
Quick, effortless insights into video game rendering resolutions.
Pixel-Count ML is designed to classify rendering resolutions of video games, including native resolutions and upscaled resolutions. Whether you're a console gamer, tech reviewer, or enthusiast, get resolution results in seconds. With a clean, straightforward design, you can track, analyze, and export your findings with ease.
Features:
Native & Upscaled Resolution Support: Effortlessly analyze native and FSR resolutions with support for 22 classes for normal resolutions and 114 classes for upscaled resolutions.
Flexible Tiers: Choose the free tier with ads or upgrade to Basic and Pro for an ad-free experience and priority processing.
Privacy-Focused: No images or personal data are stored or shared. We respect your privacy.
Terms of use (EULA) : https://www.apple.com/legal/internet-services/itunes/dev/stdeula/
Quick, effortless insights into video game rendering resolutions.
Pixel-Count ML is designed to classify rendering resolutions of video games, including native resolutions and upscaled resolutions. Whether you're a console gamer, tech reviewer, or enthusiast, get resolution results in seconds. With a clean, straightforward design, you can track, analyze, and export your findings with ease.
Features:
Native & Upscaled Resolution Support: Effortlessly analyze native and FSR resolutions with support for 22 classes for normal resolutions and 114 classes for upscaled resolutions.
Flexible Tiers: Choose the free tier with ads or upgrade to Basic and Pro for an ad-free experience and priority processing.
Privacy-Focused: No images or personal data are stored or shared. We respect your privacy.
Terms of use (EULA) : https://www.apple.com/legal/internet-services/itunes/dev/stdeula/
