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Based on our record, Tesseract should be more popular than PDF Arranger. It has been mentiond 75 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
On Linux I like to use: https://github.com/pdfarranger/pdfarranger for such tasks. - Source: Hacker News / 10 months ago
I see some questions in the comments about document splitting and if you are using PDF for the export in scanning, this adds an extra step but may be valuable in the long run. For Linux users at least, there is "pdfarranger" which most distros have. You can install that, load the PDF and re-arrange pages, remove pages, etc. Source: about 1 year ago
I like PDF Arranger for converting JPEGs to PDFs (open source on Windows) https://github.com/pdfarranger/pdfarranger. Source: about 1 year ago
I have always only been using PDF Arranger for manipulating PDF files (merging different files, arranging, adding, deleting pages) and I'm wondering if there really is no KDE equivalent for that application. Source: about 1 year ago
For merging, check out PDF Arranger. If you need to turn those emails or anything else into pdf, you can use any pdf print driver, and then put it all together with pdf arranger. For the stamps, LibreOffice Draw should do the trick. It won't be an automatic one click type of thing like I'm guessing it is in Adobe, but it's free. Source: over 1 year ago
Many of the OCR services are based on the free, open-source Tesseract OCR, but don’t expose all of the options. If you’re handy with shell scripts or Python, you can probably get better performance by hand-tuning options for your particular images. For example, if I recall there are page segmentation options to tell Tesseract to expect multi-column text. That alone might get you better performance than the... - Source: Hacker News / 10 days ago
If you want to learn more visit the complete tesseract documentation. - Source: dev.to / about 1 month ago
AI copilots: Copilots powered by various LLMs like Pieces Copilot can leverage computer vision technologies for inputs beyond text and code. For example, optical character recognition software at Pieces uses Tesseract as its main OCR code engine, extended with bicubic upsampling. Pieces then uses edge-ML models to auto-correct any potential defects in the resulting code/text, which users can input as prompts to... - Source: dev.to / about 1 month ago
You will also need to install the Tesseract OCR engine, which can be downloaded and installed from the following link: https://github.com/tesseract-ocr/tesseract. - Source: dev.to / 4 months ago
Tesseract is an open-source OCR engine developed by Google. It is highly accurate and supports multiple languages. This library will do all the heavy lifting for us. We'll use it in this tutorial to quickly read the text in some images. - Source: dev.to / 8 months ago
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