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, Flutter seems to be a lot more popular than TextSniper. While we know about 345 links to Flutter, 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.
Dart/Flutter: I chose the Dart language and the Flutter framework because I already have experience with these technologies and was looking for a solution that would allow the creation of an app for both iOS and Android without needing to create two separate codes. - Source: dev.to / 10 days ago
Before starting the tutorial on developing a personal target tracking application with Flutter, Riverpod, Strapi, and GraphQL, ensure you meet the following requirements:. - Source: dev.to / 19 days ago
The best option is probably Flutter right now: https://flutter.dev/ If you don't mind writing the UI native, sharing only business logic code, Kotlin is an option: https://kotlinlang.org/docs/multiplatform.html#kotlin-multiplatform-use-cases Kotlin also can do the UI if you use Compose: https://www.jetbrains.com/lp/compose-multiplatform/ ... however, iOS support is still in alpha, and Web is "experimental". If... - Source: Hacker News / 30 days ago
In the competitive world of mobile app development, having a strong portfolio of Flutter projects is essential to stand out. Flutter, Google's UI toolkit, is renowned for its ability to create beautiful, cross-platform apps efficiently. Let's explore ten projects that can demonstrate your expertise and make your CV shine. - Source: dev.to / about 1 month ago
Deploying Dart functions to AWS Lambda enables you to utilize them not only within AWS Lambda but also integrate them with services like Amazon API Gateway, allowing you to leverage them in Flutter applications as well. This unified codebase in Dart offers great convenience. - Source: dev.to / about 1 month ago
For OCR of any PDF (or frozen hard-to-read jpg), I use the $12 forever TextSniper (https://textsniper.app). Source: about 1 year 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: over 1 year ago
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