ArchAngelAries/TagScribeR
A tool to streamline AI image captioning
This tool helps artists, designers, and content creators prepare image datasets for training AI models. It takes your raw images and automatically generates detailed text descriptions (captions) for each, which are crucial for teaching AI what's in a picture. You can then organize and edit these images and their captions into curated collections for AI training, without needing to manually write every description.
Use this if you need to quickly and efficiently create high-quality, descriptive text captions for large collections of images to train your own AI models.
Not ideal if you're only looking to caption a few images occasionally or if you don't intend to use the captions for AI model training.
Stars
30
Forks
3
Language
Python
License
—
Category
Last pushed
Dec 22, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/ArchAngelAries/TagScribeR"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
bobbens/sketch_simplification
Models and code related to sketch simplification of rough sketches.
tonybeltramelli/pix2code
pix2code: Generating Code from a Graphical User Interface Screenshot
emilwallner/Screenshot-to-code
A neural network that transforms a design mock-up into a static website.
MiteshPuthran/Image-Caption-Generator
The LSTM model generates captions for the input images after extracting features from...
jchenghu/ExpansionNet_v2
Implementation code of the work "Exploiting Multiple Sequence Lengths in Fast End to End...