PellelNitram/OnlineHTR

Online Handwritten Text Recognition (HTR) system implemented with PyTorch. Based on https://doi.org/10.1007/s10032-020-00350-4.

37
/ 100
Emerging

This project helps you turn free-form handwritten notes into digital text. You provide an image or a drawing of handwriting, and it outputs the corresponding recognized text. This is designed for anyone who needs to convert handwritten content into editable or searchable digital formats, such as students, researchers, or archivists working with notes, forms, or historical documents.

No commits in the last 6 months.

Use this if you need to quickly convert handwritten input, such as on a tablet or a scanned document, into digital text.

Not ideal if you primarily work with printed documents or require a system that incorporates complex language models for highly nuanced or ambiguous handwriting.

handwriting-recognition note-taking document-digitization data-entry archive-management
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 15 / 25

How are scores calculated?

Stars

21

Forks

5

Language

Jupyter Notebook

License

MIT

Last pushed

Nov 01, 2024

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/PellelNitram/OnlineHTR"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.