normcap
keras-ocr
| normcap | keras-ocr | |
|---|---|---|
| 18 | 4 | |
| 1,702 | 1,332 | |
| - | - | |
| 9.3 | 3.5 | |
| 9 days ago | 6 months ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
normcap
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TextSnatcher: Copy text from images, for the Linux Desktop
The workflow feels a bit more polished (Though also not perfect) and the repo is still active.
[1] https://github.com/dynobo/normcap
- FLaNK Stack Weekly for 30 April 2023
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NormCap: OCR powered screen-capture tool
https://github.com/dynobo/normcap#similar-open-source-tools
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How do you manage your notes/summaries from the things you learn?
Some sort of OCR — NormCap bound to a hotkey for general OCR and obisidian-ocr-plugin for Obsidian. Vital for tracking down screenshots of stuff.
- Gute Text zu Bild KI?
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Recommendations on OCR software?
Just for completeness: There's normcap, an OCR tool to copy text from the screen. It works right out of the box from what I tested, both from Flatpak and the AUR.
- Frog: OCR Tool for Linux
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Is there "Text Extractor" tool (from Windows Powertoys) equivalent in linux?
but i just found this https://github.com/dynobo/normcap from their readme, using tesseract as its backend, looks like nice replacement for text extractor.
- PowerToys Release v0.62
keras-ocr
- FLaNK Stack Weekly for 30 April 2023
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Ask HN: Best pretrained OCR model for dashcam footage?
I'm trying to detect things like speed limits, stop signs, retail building signs from a relatively low quality dashcam. The video is 1440p, but the optics aren't great.
So far I've been using generic OCR models like [1] and [2], but the results aren't great.
[1] https://github.com/faustomorales/keras-ocr
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Why do new architectures still use old models?
Yes, you should be able to do it by replacing the the backbone and training the other parts again. The results may be better or worse than you expected. See: https://github.com/faustomorales/keras-ocr/issues/113
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How easy would it be/how would I go about implementing automated OCR + word count estimate after a file upload for a translation website?
There's plenty of OCR models around. If you'll have a Python server handling this, you can try keras-ocr. If you want to do this right in the browser, you can use a tflite model.
What are some alternatives?
pytesseract - A Python wrapper for Google Tesseract
PaddleOCR - Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
textshot - Python tool for grabbing text via screenshot
doctr - docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
pyocr
mmocr - OpenMMLab Text Detection, Recognition and Understanding Toolbox
Signalum - To explore creating an application that detects available connections at once from wifi and bluetooth
pandas-ai - Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
TextSnatcher - How to Copy Text from Images ? Answer is TextSnatcher !. Perform OCR operations in seconds on Linux Desktop.
Image2CAD - An application to translate raster image of CAD drawing sheet to a user editable DXF format.
D3DShot - Extremely fast and robust screen capture on Windows with the Desktop Duplication API
CRAFT-pytorch - Official implementation of Character Region Awareness for Text Detection (CRAFT)