Apps Like CardValue for iPhone and iPad
Identify cards and get value estimates
Identify collectible cards by snapping a photo. Receive detailed information and estimated market value. Supports sports cards, Pokémon, and other trading cards. Uses AI for card recognition and valuation.
CardValue screenshots
Ranked alternatives
Showing 601–620 of 1,000 ranked alternatives.


CardSpark+ ‑ Sell Gift Cards
健 邓
For cash securely
For cash by uploading and receiving payment. View transparent pricing and track card value. Register as a VIP1 member to access rewards, complete tasks, and level up. Higher levels offer faster support and better sale prices.

Bug identifier by picture
Harsh Vardhan
Identify bugs with instant AI scans
Identify insects using AI-powered image recognition. Capture or upload photos for instant species detection. Access detailed information about each insect including habitat, behavior, and classification.


Autochartist
MDIO SOFTWARE (PTY) LTD
Identify patterns, trade opportunities
Identify trading opportunities based on historical pattern performance. Analyze patterns across instruments and timeframes. Provide forecasts and target probabilities for potential trades.





Fish Identifier - Fishby
Pixoby OU
Identify by snapping a photo
Take a photo or upload an image to identify species instantly. View detailed information on characteristics, habitats, and behaviors. Save and organize identified species for future reference.





AnySearch: AI Lens Identifier
MERT DEMIR
Identify objects with AI
Use camera or upload image to identify objects instantly. Recognize plants, animals, coins, and products. Get care tips for plants, animal species details, and product information. Share results via links or social media.



Device Info iMonitor
Artem Tselikov
Monitor CPU, RAM, battery, and usage
Displays CPU usage, RAM consumption, battery level, and remaining estimated usage time. Allows users to monitor system performance and battery efficiency in real time.


How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.