TruMedia - AI Anti-Scam Detector
34
ASO score
Text
38/100
Reviews
0/100
Graphic
60/100
Other
0/100
App Rating
Votes
App Age
Last Update
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Category Top Average
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Rating
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0
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4.47
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Number of Ratings (Voted)
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0
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753.4K
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App Age
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0y 0m
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6y 3m
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Price
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$9
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$0
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In-app Purchases Price
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$0
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$38
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Update Frequency
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0d
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39d
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Title Length
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32
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24
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+33%
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Subtitle Length
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0
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27
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Description Length
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2 204
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2 549
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-14%
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Number of Screenshots
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3432
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977
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+251
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Size
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0MB
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168MB
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Category Ranking in United States
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Last year
| Top | Dec 19, 2025 | Dec 26, 2025 |
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| Top | Dec 19, 2025 | Dec 26, 2025 |
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| Top | Dec 19, 2025 | Dec 26, 2025 |
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| Top | Dec 19, 2025 | Dec 26, 2025 |
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No results were found!
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Ranking Keywords in United States
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Analyze this and other apps using Asolytics tools
Text ASO
Title
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Characters:
32
of 30
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TruMedia - AI Anti-Scam Detector
Subtitle
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0
of 30
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Description
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2204
of 4000
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TruthPix is an on-device secure AI pic detector. TruSpeaker is its counterpart for audio. Both run on your iPhone/iPad & do not transmit any data. Together, they inform you about cloned AI generated content.
With the latest set of AI cloning tools, its nearly impossible for humans to detect altered pics or audio. These are used in deceptive ads, sham biz/personal profiles, political campaigns, investment scams & hordes of other means to cheat you. Yella's AI detection tools try to stay one step ahead. And we are extremely mindful of your privacy. Speed is our forte- we inform you whether media is real or cloned in under 400 ms!
Key Features:
Private On-Device Analysis: Ensures your data remains secure.
Fast Performance: Analyzes images,audio in under 400ms.
Advanced AI Detection: Identifies AI-generated alterations, especially in portraits or audio.
How to Use TruthPix:
Select Image: Open the app and choose a photo from your gallery.
Detect Clones: TruthPix analyzes and indicates if the image is real or cloned.
How to use TruSpeaker:
Record: 5 secs of audio
Analyze: We will mark it as real or cloned in under 400 ms
Detection Capabilities:
Techniques: Identifies pics created by GANs, Diffusion Models, Style Transfer, Latent Space Manipulation artifacts. Or cloned audio using the WaveNet, RNNs, Audio Transformers or any other technique.
On-Device: Our detection capabilities are optimized for mobile devices, but stay within the limitations imposed by mobile devices regarding memory and CPU speed.
Video: Identifies most face swapping deepfakes with just a single frame from the video. Or just 5 sec audio snippets from the video.
Limitations:
Focus: Primarily detects altered portraits, not inanimate objects, art, or nature. Also, wrt audio, focus is on human speech. Not music or other sounds.
Accuracy: In a small fraction of cases, a cloned image or audio clip could be marked as real incorrectly. We are constantly updating our ML models to accommodate new cloning techniques.
Your feedback is critical to improving the detectors. Feel free to let us know our successes & failures. We will accommodate your concerns by enhancing our test cases & models with your help.}
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