vkgo/OCRAutoScore
OCR-based automated exam grading system using PaddleOCR for text recognition and CLIP for multimodal answer verification.
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This project implements an automated grading system for handwritten or printed exam answers using OCR and vision-language models. It uses PaddleOCR for optical character recognition to extract text from answer images, and CLIP for multimodal matching to verify answers against expected responses. The system processes answer sheets by segmenting regions, recognizing text, and scoring fill-in-the-blank and other question types.
Frequently asked
- What is vkgo/OCRAutoScore?
- OCR-based automated exam grading system using PaddleOCR for text recognition and CLIP for multimodal answer verification.
- Is OCRAutoScore open source?
- Yes — vkgo/OCRAutoScore is open source, released under the AGPL-3.0 license.
- What language is OCRAutoScore written in?
- vkgo/OCRAutoScore is primarily written in Python.
- How popular is OCRAutoScore?
- vkgo/OCRAutoScore has 477 stars on GitHub.
- Where can I find OCRAutoScore?
- vkgo/OCRAutoScore is on GitHub at https://github.com/vkgo/OCRAutoScore.