Identify any plant, then plan the yard you'll put it in

Point your phone at a plant and get a straight answer. What it is, with confidence stated honestly as strong, possible or low, and alternate matches with reference photos when it's a close call.

Then the part that actually matters. Instead of a name you've forgotten by dinner, you save it to a space in your own yard. The back patio. The strip along the driveway. The bed you keep meaning to deal with.

Each space carries its own details: size, sun exposure, and most importantly its ZIP and hardiness zone. So you find out whether that plant survives in your space, not whether it survives where you took the photo. Which matters most when you took the photo on vacation.

Every plant you scan and save brings its full care guide with it. Planting guide, water, light, soil, feeding, pruning, and the honest version of what it takes to keep it alive.

Collecting is half of it. Some people are happy there, and that's a real use.

What people kept asking for was the other half: a record of what's already in the ground in each space. Because once the app knows what you have and what you want, the distance between those two things is a design plan. That's when you stop guessing and start asking the useful question, which is what would actually make this space better.

Two different kinds of protection, because a landscape is an investment and a dog is family. The app will give warnings and alerts when it launches.

Toxicity warnings. The app will tell you a plant is a potential problem if you have a cat or a dog.

Frost alerts. Not a quick weather-app freeze warning. When it launches, it will tell you:

Most people's experience of AI images is fighting with a text box and getting a fountain in the driveway. You should not have to write a good prompt to see your own yard.

So the app writes it for you. It takes a reference photo of the actual space, your notes on the plants you intend to remove, the plants you've saved to it, and what it already knows about your climate and your conditions, and it builds both the prompt and the render from that.

YardGlow AI is made by Inspired Outdoor Designs, a landscape design practice in Henderson, Nevada. The plant judgments in the app are a working designer's, which is the part a content team cannot copy.

So you get a designer's thinking where software can give it to you, and an actual designer when your project outgrows an app.