Nuxt.js
Next.js
Vue.js
Tailwind CSS
React
Bootstrap
Hugo
Strapi
TextSniper
Capture2text
Easy Screen OCR
dpScreenOCR
Textify
KanjiTomo
ABBYY Screenshot Reader
Screen OCR
TextSniper is an easy-to-use desktop Mac OCR app that can extract and recognize any non-searchable and non-editable text on your Mac's screen. As an extra feature, it can turn OCR text into speech. It is a super convenient alternative to complicated optical character recognition tools.
The tool is intuitive to use and makes extracting text from your images, scanned paper documents, PDFs, or even videos simple and easy. No training or special skills required, fits perfectly home and business mac users. Easily accessible from the menu bar whenever you need it and has a simple user interface.
If you ever have used a built-in mac's screen capture application before, then it wouldn't be any trouble to work with TextSniper too. Select with a mouse any part of an image, photo, PDF document, or anything on your screen, and the app will process and recognize any text within this selection. The text output will be saved into a clipboard, so you could paste it into your favorite macOS text editing or note-taking software.
Finally, the app's optical character recognition engine doesn't need an internet connection to process documents. Great OCR solution for those who are concerned about privacy. The application does not collect any users' data.
Nuxt.js TextSniperNo features have been listed yet.
Based on our record, Nuxt.js should be more popular than TextSniper. It has been mentiond 149 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.
In recent years, projects like Vercel's NextJS and Gatsby have garnered acclaim and higher and higher usage numbers. Not only that, but their core concepts of Server Side Rendering (SSR) and Static Site Generation (SSG) have been seen in other projects and frameworks such as Angular Universal, ScullyIO, and NuxtJS. Why is that? What is SSR and SSG? How can I use these concepts in my applications? - Source: dev.to / 3 months ago
One reason to opt for server side rendering is improved SEO, so if this is especially import for your project you could have a look at for instance https://remix.run/ or https://nextjs.org/ for react or https://nuxtjs.org/ if you use Vue. Source: about 1 year ago
Well nuxtjs.org work smooth on ios 12, maybe you didn't understand what I'm talking about. Source: about 1 year ago
E.g. Most nuxtjs.org documentation is Nuxt 2 and therefore Vue 2, while nuxt.com documentation is always Nuxt 3 and therefore Vue 3. Source: about 1 year ago
For detailed explanation on how things work, check out the documentation. - Source: dev.to / about 1 year ago
For OCR of any PDF (or frozen hard-to-read jpg), I use the $12 forever TextSniper (https://textsniper.app). Source: 12 months ago
I use a Mac, but here's an example of software I use that can take a screenshot and read them to me: https://textsniper.app. Source: about 1 year ago
The guy literally mentions the software he uses for that in the video. It's called TextSniper. The underlying technology is called optical character recognition (or OCR for short). Source: about 1 year ago
He mentions it in the video the first time he does it. He's using a program called TextSniper. https://textsniper.app/. Source: about 1 year ago
For me, it is still Raycast for productivity, TextSniper for copying text from videos , and Magnet for windows arrangement. Source: about 1 year ago
Next.js - A small framework for server-rendered universal JavaScript apps
Capture2text - Capture2Text enables users to quickly OCR a portion of the screen using a keyboard shortcut.
Vue.js - Reactive Components for Modern Web Interfaces
Easy Screen OCR - Easy Screen OCR helps users capture screenshot and grab text from images.
Tailwind CSS - A utility-first CSS framework for rapidly building custom user interfaces.
dpScreenOCR - Program to recognize text on screen