Scrabblecam

What is Scrabblecam?

Scrabblecam analyzes photos of a real Scrabble board and suggests the best available moves. It uses deep learning to recognize the board’s state, works with board designs from different manufacturers, and supports standard 15x15 boards. For valid inputs, it returns top-scoring move suggestions quickly. The tool was created by Eric Sink.

What is Scrabblecam used for?

Scrabblecam serves casual and competitive players at any skill level who want move suggestions from a photo of their board. Developers can also use its API to build board analysis into their own tools and platforms.

How to use Scrabblecam?

Take a clear, well-lit photo of the board with all tiles visible, then upload it on the Scrabblecam website or app. The tool analyzes the board and returns suggested moves for your next play. A demo is available for new users. English boards are supported, with more languages planned.