
GitHub
GitLab
BitBucket
VS Code
Git
Treehouse
Pantheon
CodePen
TextSniper
Capture2text
dpScreenOCR
Textify
ABBYY Screenshot Reader
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.
GitHub
TextSniperBased on our record, GitHub seems to be a lot more popular than TextSniper. While we know about 2463 links to GitHub, we've tracked only 35 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.
The core of the ecosystem is the official open-source server hosted on GitHub. It is written in TypeScript and implements the full MCP specification. - Source: dev.to / 4 days ago
This is why the gate needs a trace it can trust, and why AgentLens is the other half of this workflow. agent-eval scores and gates the output; AgentLens captures the trace of how the agent got there โ every model call and tool step, the resolved inputs (not the templated ones), the raw outputs. That trace is exactly the unforgeable, agent-didn't-author substrate that Tier 1+2 need to score against. Without it,... - Source: dev.to / 4 days ago
## Tell Git to start tracking your project Git init ## Take a snapshot of all your current files Git add . ## Save this snapshot with a description Git commit -m "Initial commit from AI tool" ## Connect your local project to GitHub ## Get repository URL from your GitHub page ## it looks like https://github.com/your-name/your-repo.git Git remote add origin PASTE_YOUR_URL_HERE ## Upload your code to GitHub Git... - Source: dev.to / 14 days ago
Conclusion Next time Git insists a private repository doesn't exist, skip editing your config file and head straight to the Windows Credential Manager. Wiping out the stale git:https://github.com entry forces a clean handshake, getting you back to coding in less than a minute. - Source: dev.to / 14 days ago
Gitea is where all private repositories live: infra configs, personal projects, anything I don't want on a third-party server. Public projects still go to GitHub because that's where the audience is, but a number of those GitHub repositories are mirrored back to Gitea as a local backup. The split is simple: Gitea for control and resilience, GitHub for reach. - Source: dev.to / 15 days ago
Continuing working on my project - TextSniper https://textsniper.app/ macOS application for text recognition. - Source: Hacker News / over 1 year ago
I am still working on https://textsniper.app. - Source: Hacker News / almost 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
GitLab - Create, review and deploy code together with GitLab open source git repo management software | GitLab
Capture2text - Capture2Text enables users to quickly OCR a portion of the screen using a keyboard shortcut.
BitBucket - Bitbucket is a free code hosting site for Mercurial and Git. Manage your development with a hosted wiki, issue tracker and source code.
dpScreenOCR - Program to recognize text on screen
VS Code - Build and debug modern web and cloud applications, by Microsoft
Textify - A small tool which allows to copy text from dialogs and controls which donโt allow it otherwise.