#10 · Primary category: AI Website Builders

sketch-code

augmentation deep-learning html-generation image-captioning image-processing keras tensorflow

Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images.

Project last updated:08/06/26

GitHub Stars

5.1K

Forks

677

Contributors

2

License

MIT

Why we included this project

SketchCode comes from the pix2code lineage and shows how far a single Keras model can get at converting hand-drawn wireframes into working HTML. It treats the job as image captioning: the model reads a sketch of a layout and writes the markup for it, and the repo ships pretrained weights plus 1,700 synthetic training images so you can run the conversion scripts on sample drawings right away. Training and BLEU-scoring utilities are included for anyone who wants to try their own inputs. The author is upfront that this is a proof-of-concept whose output depends on sketches resembling the bundled dataset, so it works best as a learning and prototyping reference rather than a production code generator. For anyone curious about how design-to-code models got started, this is a concrete baseline to compare today's tools against.

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