Icon Kush Scan: Identify Cannabis

Kush Scan: Identify Cannabis

  • Medical
View in App Store

Kush Scan: Identify Cannabis

  • Medical
4.3
612 ratings
Age Rating

17+

Seller
Oleksandr Koriukalov
In-App Purchases

$3.99 – $14.99

View in App Store

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User Reviews for Kush Scan: Identify Cannabis

4
Casually good

This app is ok but sometimes I had to rescan until a result came but most the time it’s pretty accurate and like it said it goes by a 70% similarity so it’s good what I first thought about it was I should get this but now it’s kinda ok looks good outside I should go on a walk yeah I’ll leave it anyway wrote my thoughts my bad but yeah it’s good

beefyClitlicker, Apr 14, 2021
2
Promising but falls short

I was excited bc I use other ID apps and I love them but this has two marks against from the jump. On my very first scan I had to watch a 30 second ad which was an instant turn off. At least let me try it a few times to see if I like it. Makes me think you know I won’t. Then the scan was wrong…twice (from dispensary). I know it’s only as good as it’s database, but there’s not an option to suggest an edit, so it’ll remain limited.

EliteFit_Chicks, Oct 15, 2023
5
Thank you KushScan ❤️‍🩹

I love this app, not to sound cheesy but everything about it . Good esp if you’re generally interested in strain varieties. It’s just a fun and interesting yet simple app 💯

Endaluz, Sep 27, 2021
5
All great

I downloaded your web site to help me identify flower strain there are so many it is hard to keep up with them as the industry grows i hope your website continue to grow and updates for greater accuracy identifying all flower 😜👍

hipicik, Apr 02, 2022
5
Love the KuSh ScAn!

Best app ever, very helpful when someone doesn’t have the medical card. It helps me out every week, keep up the Greeat work!!

kAsHoNeR, Sep 11, 2022
5
AMAZING

I’ve only had this app for about an hour and my mind is BLOWN.... I tried it with a few strains that I already knew. All correct. I had trouble with another strain but honestly I didn’t have enough to take a quality picture. After a few tries it correctly recognized Sour Diesel! Make sure you take clear pictures, with all noticeable features of the weed. Coolest app ever.

Liamfl, Apr 08, 2021
5
Mind Blown

This app applies machine learning to marijuana categorization, and it works- it works quite well! While I don't think this can ever completely replace chemical testing, the results I've seen have been completely accurate. I highly recommend.

marko671, Mar 07, 2021
2
Fun for entertainment

This app is fun for entertainment but not the least bit accurate. Also it says edit strain info but don’t really edit anything. I love the concept and know it’s probably impossible for a app to identify the strain. My THC level for what ever I scanned came back as 20%. All in all it’s a cool app to toy around with fool your friends into thinking you know your cannabis.

MrP.GoLoco, Oct 06, 2022
3
Didn’t identify correctly, on the right track

Took a pic of about 10gs of purple punch &Shine brand from local dispensary..it guessed blue dream, gorilla glue, or white widow. Tried a couple g’s of S.C. Slimer, also &Shine brand, it guessed Sour Diesel, AK 75, and something else. I tried purple punch again and it gave the same results as the first time. I really honestly wanted this app to work! Disappointed but honestly didn’t expect an app to be able to identify a strain by picture only lol.

philleshphan, Feb 27, 2021
2
Mediocre, at best

Tried app on 2 strains. Both strains are commercial, state issued in labeled containers. I tested each strain 2-3 times. The app provides 3 possible matches & it was 1-3 on one (& 0-3 on the other) with the correct response being #3 @ 51% chance. It fell woefully short on the THC% on both.I will keep trying for awhile, to collect more data, but, for now, this app seems to need major improvement to have usefulness.

ram11112222222222232, Oct 18, 2020

Description

KushScan - Your ultimate mobile companion for identifying and understanding different weed strains. Snap a photo of your dry weed, and our app, powered by cutting-edge computer vision algorithms, reveals its strain name, THC level, and whether it's sativa or indica. Explore the world of weed with ease, as we present the three most visually similar strains from our extensive database, including varieties like Chocolope, G13, OG Kush, Pineapple Express and more.

Gain insights into your weed experience by performing mobile cannabis testing. Predict the mood and effects based on the sativa/indica level, ensuring you have the perfect strain for every occasion. Use our app to take a new photo or select one from your gallery, making the process seamless and personalized. Dive deeper into the world of weed with our probability screen, where you can tap on a flower photo to access extended information about your chosen strain. Discover the nuances of each weed type, thanks to our continuously updated database derived from in-depth genetic analyses of hundreds of popular marijuana varieties. Share your unique cannabis journey with the world through our Feed functionality. Users can post photos of their scanned buds in the feed, connecting with fellow enthusiasts globally. Whether you're showcasing a rare strain or seeking recommendations, our community-driven platform fosters a sense of camaraderie among weed enthusiasts. Embark on a journey of discovery with a simple, yet sophisticated application that combines more than two years of research in texture and color features. KushScan brings you the most convenient way to explore and understand the diverse world of weed. Download now and elevate your smoking experience with confidence. WARNING: THE APPLICATION DOES NOT GIVE 100% ACCURACY, IT IS DESIGNED AS ENTERTAINING ONE, ANY INFORMATION PROVIDED BY THE APPLICATION DOESN'T HAVE PRESCRIPTION CHARACTERISTIC, AN INFORMATION PROVIDED IN THE APPLICATION IS NOT A LEGAL ADVICE, A USER SHOULD CONSULT PROFESSIONALS (E.G. MEDICAL SPECIALISTS) BEFORE TRYING ANY TYPE OF PRODUCT. Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/

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