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Excerptor
Overview :
Excerptor is a specialized tool designed to extract underlined or handwritten text from physical books. Using image processing and optical character recognition technology, it converts marked text within books into a digital format, making it easy for users to edit and save. This technology is significant as it assists users in swiftly extracting key information from a large volume of books, thereby improving research and learning efficiency. Excerptor meets the needs of various fields, including academic research, education, and personal study, with its efficient and accurate text recognition capabilities and user-friendly interface. Currently, Excerptor is available to users for free, with development and maintenance managed by the open-source community.
Target Users :
Excerptor is primarily targeted at students, researchers, writers, and anyone who needs to extract information from books. Students and researchers can quickly extract key details from literature, enhancing their research efficiency. Writers can use it to organize and edit cited texts. Ordinary users can also utilize Excerptor to digitize important content from their personal book collections.
Use Cases
A graduate student uses Excerptor to extract key data from academic books for writing a thesis.
A historian employs Excerptor to identify handwritten notes in ancient texts for historical research.
A writer utilizes Excerptor to organize book citations, accelerating the creative process.
Features
- Underlined text recognition: Identify underlined text in physical books.
- Handwritten mark recognition: Detect handwritten notes in books.
- Image preprocessing: Apply white balance and noise reduction to captured book pages.
- De-warping correction: Correct images of warped book pages.
- Optical character recognition: Convert text in images into editable text format.
- Model training: Support text area segmentation using the YOLO model.
- Error correction: Provide interfaces to correct errors during the OCR process.
- Batch processing: Support batch processing for multiple pages of a book.
How to Use
1. Prepare the physical books you want to extract text from and take pictures of their pages laid flat.
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2. Place the captured images into Excerptor's designated input folder.
3. Run the Excerptor program and select the option to recognize underlined text or handwritten marks as needed.
4. Excerptor will automatically perform image preprocessing, de-warping correction, and optical character recognition.
5. Check the recognition results and manually correct any errors if needed.
6. Save the recognized text to the output folder or proceed with further editing and processing.
7. If necessary, archive the original images to the specified archive folder.
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