Mushroom Identifier
AI-powered mushroom identification from a photo
What it does
Most mushroom photo tools stop at a name. Mushroom Identifier turns one upload into a practical visual starting point: a likely match, visible clues, possible lookalikes, and a safer next step. It is built for hikers, gardeners, nature learners, and curious home observers, with a fast web workflow and clear uncertainty. It does not present itself as a laboratory report, expert mycology opinion, or edibility verdict.
Use this mushroom identifier to identify mushrooms from a photo. See a likely match, visible clues, lookalikes, and a safer next step—not an edibility verdict.
Upload one clear photo. The online mushroom identifier can suggest a likely match, visible clues, possible lookalikes, and a practical next step—without treating a photo result as an edibility verdict. Start with a sharp, well-lit photo. The online mushroom identifier can compare the cap, underside, stem, and habitat context from the image. Drag and drop an image, browse your device, or take a photo on a supported mobile browser. Upload a closer underside and stem-base photo, then compare the result with a trusted local field guide. Example only — a photo result cannot confirm species, edibility, or safety. Your photo is ready. Select Identify This Mushroom to see an online mushroom…from mushroom-identifier.app
Does the same job
all alternatives →- IMIdentify mushrooms from pictures2017 · champignouf.com · ▲37
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com