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WordCanvas3D
See how AI reads text: tokens, embeddings and vector math
WordCanvas3D is a free, open-source playground for how AI understands text. Split any sentence into tokens and compare how GPT and LLaMA tokenizers see it. Fly through thousands of words in 3D and watch similar meanings cluster together. Do math with meaning, like king − man + woman ≈ queen. New in v2: a Learn section with beginner-friendly articles and interactive figures, a full redesign, phone support, and English, Chinese, Japanese and Spanish.
Hey Product Hunt 👋
I launched WordCanvas3D here about a year ago. It was a rough first version and, honestly, it didn't land. So I rebuilt it.
The idea is simple: make the way AI reads text visible. Language models don't see words, they see tokens and long lists of numbers. WordCanvas3D lets you see that for yourself:
🔤 Tokenizer: paste any text and see exactly how GPT and LLaMA split it (and why emoji and other languages cost more)
🌌 Embeddings in 3D: fly through thousands of words and watch related meanings cluster together
➕ Vector Playground: king − man + woman ≈ queen, drawn as arrows
📚 Learn (new): beginner-friendly articles with interactive figures, from "what is a token?" to how a transformer picks the next word
Also new in v2: a full redesign, proper phone support and four languages (English, 中文, 日本語, Español).
It's free, has no ads or sign-up, runs in your browser, and is open source.
I'd love to know what confused you, what you'd like to see explained next, and which word you searched first 🙂
About WordCanvas3D on Product Hunt
“See how AI reads text: tokens, embeddings and vector math”
WordCanvas3D was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #90 on the daily leaderboard. WordCanvas3D is a free, open-source playground for how AI understands text. Split any sentence into tokens and compare how GPT and LLaMA tokenizers see it. Fly through thousands of words in 3D and watch similar meanings cluster together. Do math with meaning, like king − man + woman ≈ queen. New in v2: a Learn section with beginner-friendly articles and interactive figures, a full redesign, phone support, and English, Chinese, Japanese and Spanish.
On the analytics side, WordCanvas3D competes within Education, Artificial Intelligence, GitHub and Data Visualization — topics that collectively have 604.2k followers on Product Hunt. The dashboard above tracks how WordCanvas3D performed against the three products that launched closest to it on the same day.
Who hunted WordCanvas3D?
WordCanvas3D was hunted by Akage. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Akage