NormCap is an OCR powered screen-capture tool to capture information instead of images. Text recognition is performed offline using the OCR framework Tesseract.
The prebuild NormCap packages are shipped with the tessdata-fast models, which offer a very good accuracy to speed compromise. But you can also try to add the models from tessdata or tessdata-best.
This is free and open source software.
Key Features
- Two capture modes:
- Raw mode – outputs the detected text just as detected by the OCR software. Keeps the text as recognized, e.g. doesn’t remove line-breaks.
- Parse mode – performs some formatting of the output based on certain implemented rules, which can take additional information like text position into account. In a first step, every rule calculates a “score” to determine the likelihood of being responsible for this type of text. In a second step, the rule which achieved the highest “score” takes the necessary actions to “transform” the input text according to its type.
- Heuristic parsing in parse mode.
- Multi-monitor support.
- Capture from the system tray.
- Internationalization support – English, Arabic, Chinese, German, Russian and Spanish.
- Cross-platform support – runs under Linux, macOS, and Windows.
Website: dynobo.github.io/normcap
Support: GitHub Code Repository
Developer: dynobo
License: GNU General Public License v3.0
NormCap is written in Python. Learn Python with our recommended free books and free tutorials.
Related Software
| OCR Screen Capture Tools | |
|---|---|
| NormCap | OCR-powered screen-capture tool to capture information instead of images |
| gImageReader | Simple Gtk/Qt front-end to Tesseract |
| TextShot | Python tool for grabbing text via screenshot |
| dpScreenOCR | Powered by Tesseract, it supports more than 100 languages |
| Frog | Intuitive text extraction tool (OCR) for GNOME |
| TextSnatcher | Perform OCR operations in seconds |
| Mark Shot | High-performance screenshot and annotation tool |
| OCR4Linux | Text extraction tool |
| SnipText | Screen capture OCR tool |
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