SimpleHTR and handwriting-ocr

These are competitors—both implement end-to-end handwritten text recognition pipelines using deep learning, so users would typically choose one based on architecture preference (SimpleHTR uses TensorFlow while handwriting-ocr uses PyTorch) rather than using them together.

SimpleHTR
61
Established
handwriting-ocr
51
Established
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Stars: 2,145
Forks: 911
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stars: 829
Forks: 248
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
No Package No Dependents
Stale 6m No Package No Dependents

About SimpleHTR

githubharald/SimpleHTR

Handwritten Text Recognition (HTR) system implemented with TensorFlow.

This helps you convert handwritten words or lines of text from images into editable digital text. You input scanned images of handwriting, and it outputs the recognized text in a digital format. It's designed for anyone needing to digitize handwritten documents, such as researchers working with historical archives or data entry specialists.

document-digitization data-entry historical-research archival-processing text-extraction

About handwriting-ocr

Breta01/handwriting-ocr

OCR software for recognition of handwritten text

This project helps convert handwritten notes or documents captured as photos into editable text. It takes an image of a page with text as input and outputs the recognized characters and words. This would be useful for anyone needing to digitize handwritten information, like students, researchers, or archivists.

document-digitization handwriting-transcription data-entry archiving text-extraction

Related comparisons

SimpleHTR and HandwritingRecognitionSystem

Scores updated daily from GitHub, PyPI, and npm data. How scores work