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TextSniper
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Easy 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.
TextSniperBased on our record, PHP should be more popular than TextSniper. It has been mentiond 56 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.
The PHP website is indeed one of the worst parts of the whole ecosystem. Just look at the landingpage (https://php.net) and compare it with those of other languages. There's not a single piece of PHP code on the page. No "what is PHP", no "why should I use it", and no "that's why PHP is great". It's just a news page showing the latest releases, and a small section for downloading PHP. And speaking of the website:... - Source: Hacker News / 4 months ago
My initial idea was to leverage the main application’s queue worker by deploying a queue worker remotely and setting up a secure connection between them using something like Wireguard. Vigilant is written in PHP using the Laravel framework, for queuing it uses Laravel Horizon. This is a queuing system built on top of Redis. All monitoring tasks in Vigilant are executed on this queue, it allows for multiple queues... - Source: dev.to / 10 months ago
I remember being 15 (18 years ago 🥲) and learning PHP. Stack Overflow wasn’t as big yet, and finding answers often meant digging through forums filled with half-baked solutions, each dependent on specific hosting configurations. There was no universal standard, some hosts supported certain php.ini settings while others didn’t. The only reliable resource? The official PHP documentation: php.net. - Source: dev.to / over 1 year ago
That's the first I've heard of it, and I like it! I can't tell you the number of trips to php.net to look at argument order for a function. Is it haystack/needle, or needle/haystack? Of course it could turn into the same thing w/ argument names (is it whole_name or full_name?), but I'm going to use it. Source: about 3 years ago
Prepare to spend a fair bit of time reading and going back to phptherightway.com and php.net. I've also found this Tutorial from Envato Tuts+ to be quite good. Source: about 3 years ago
Continuing working on my project - TextSniper https://textsniper.app/ macOS application for text recognition. - Source: Hacker News / almost 2 years ago
I am still working on https://textsniper.app. - Source: Hacker News / about 2 years ago
For OCR of any PDF (or frozen hard-to-read jpg), I use the $12 forever TextSniper (https://textsniper.app). Source: about 3 years 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: over 3 years 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: over 3 years ago
Python - Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
Capture2text - Capture2Text enables users to quickly OCR a portion of the screen using a keyboard shortcut.
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
ABBYY Screenshot Reader - ABBYY Screenshot Reader turns text within any image captured from your screen into an editable format without retyping
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
dpScreenOCR - Program to recognize text on screen