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.
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Based on our record, React seems to be a lot more popular than TextSniper. While we know about 778 links to React, we've tracked only 33 mentions of TextSniper. 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.
It's time to write our second application, where there will be a list of schemes, processes, and a Workflow Designer with the ability to start a process and see its status. We will use create-react-app template to create a simple React application. Open your console and go to the folder react-example, then execute following commands:. - Source: dev.to / 7 days ago
Let’s look at two technical solutions — RSCSS/ITCSS. This is indeed a perfect combination of instruments which we use in our projects built on React and Ruby on Rails. - Source: dev.to / 9 days ago
Startups with limited resources trying to reduce cost on delivering their apps to both web and mobile platforms. For now, it’s common to use React Native for mobile and React.js for the Web. Even though these are two different frameworks, there are some solutions which reduce maintenance and at least prevent duplication in the code. - Source: dev.to / 9 days ago
For this project, there is a frontend built with React hosted on Netlify, connected to the backend. - Source: dev.to / about 2 months ago
React: A JavaScript library for building user interfaces. - Source: dev.to / about 2 months 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
Vue.js - Reactive Components for Modern Web Interfaces
Capture2text - Capture2Text enables users to quickly OCR a portion of the screen using a keyboard shortcut.
Next.js - A small framework for server-rendered universal JavaScript apps
Easy Screen OCR - Easy Screen OCR helps users capture screenshot and grab text from images.
Svelte - Cybernetically enhanced web apps
dpScreenOCR - Program to recognize text on screen