DECIMER-Image_Transformer

DECIMER-Image_Transformer

Kohulan

DECIMER Image Transformer is a deep-learning-based tool designed for automated recognition of chemical structure images. Leveraging transformer architectures, the model converts chemical images into SMILES strings, enabling the digitization of chemical data from scanned documents, literature, and patents.

416 Stars
81 Forks
9 Watchers
Python Language
mit License
100 SrcLog Score
Cost to Build
$1.56M
Market Value
$6.49M

Growth over time

7 data points  ·  2026-07-17 → 2026-11-07
Stars Forks Watchers
💬

How do you feel about this project?

Ask AI about DECIMER-Image_Transformer

Question copied to clipboard

What is the Kohulan/DECIMER-Image_Transformer GitHub project? Description: "DECIMER Image Transformer is a deep-learning-based tool designed for automated recognition of chemical structure images. Leveraging transformer architectures, the model converts chemical images into SMILES strings, enabling the digitization of chemical data from scanned documents, literature, and patents.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

🏆 Show off this rank

Kohulan/DECIMER-Image_Transformer on SrcLog (holo style)

Add it to a GitHub README or profile — the card updates as the ranking changes:

How to clone DECIMER-Image_Transformer

Clone via HTTPS

git clone https://github.com/Kohulan/DECIMER-Image_Transformer.git

Clone via SSH

[email protected]:Kohulan/DECIMER-Image_Transformer.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the DECIMER-Image_Transformer issue tracker:

Open GitHub Issues