
Go Programming Language
C++
Python
Crystal (programming language)
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TextSniper
Capture2text
ABBYY Screenshot Reader
dpScreenOCR
Textify
KanjiTomo
Q-Dir
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.
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Based on our record, Go Programming Language should be more popular than TextSniper. It has been mentiond 345 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.
With the Dockerfile support, you can deploy any stack on it: GO, Rails, Spring Boot, Laravel, etc. And it's very easy to deploy as well, and it has the same experience as deploying a frontend application. Will see in this blog by creating a simple Golang server and deploying to Vercel. - Source: dev.to / 2 months ago
Go is an open-source, statically typed, compiled language designed at Google for simplicity, reliability, and efficiency. It ships with a rich standard library, first-class concurrency primitives (goroutines and channels), and produces single, statically-linked binaries — making it an excellent fit for microservices and containerised workloads. - Source: dev.to / 3 months ago
Unlike Go where the language definition itself via its compiler strictly enforces the inclusion of modules (i.e., include exactly what you use, no more, no less), neither the C nor C++ language definitions have an equivalent enforcement. This can lead to two problems:. - Source: dev.to / 4 months ago
The difference was the language. OpenCode is written in Go. Aider is Python, Cline is TypeScript running in the VS Code extension host. For a tool that spends its time reading files, parsing diffs, and piping text to an LLM, Go's concurrency primitives and fast startup matter more than they should. OpenCode opens the repo, loads a file tree, and is ready to accept a prompt in under 150ms. Cline, running inside VS... - Source: dev.to / 4 months ago
I measured gateway overhead (not LLM response time) using a standardised Go benchmarking harness:. - Source: dev.to / 5 months 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
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation
Capture2text - Capture2Text enables users to quickly OCR a portion of the screen using a keyboard shortcut.
Python - Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
ABBYY Screenshot Reader - ABBYY Screenshot Reader turns text within any image captured from your screen into an editable format without retyping
Crystal (programming language) - Programming language with Ruby-like syntax that compiles to efficient native code.
dpScreenOCR - Program to recognize text on screen