Most users struggle to see the full value of a product within the first 14 days (if ever).
That's why we built UserGuiding, a no-code product adoption platform that helps increase activation & retention and reduce churn using many in-app walkthroughs and widgets as well as standalone Knowledge Base and Product Updates pages. Provide your users all the self-serve help they need throughout their journey, and also gather valuable insights and feedback from them with our in-app surveys to give you direction and improve your product development.
The best part? You can do it all without breaking the bank and with zero technical expertise, thanks to our drag-and-drop interface.
Try UserGuiding today to give your product adoption a huge, instant boost.
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Based on our record, Tesseract seems to be a lot more popular than UserGuiding. While we know about 75 links to Tesseract, we've tracked only 2 mentions of UserGuiding. 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.
I do some work with https://userguiding.com/ and I find them to be a good compromise between features and pricing. It's one of the more affordable user onboarding platforms out there but comes in packed with functionalities, and it looks nice, too. Source: over 2 years ago
Use user guides to onboard customers flawlessly (https://userguiding.com/). Source: over 3 years 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 / 9 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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