staghado

staghado / better-live-text

Public

Better Live Text for MacOS

33
3
100% credibility
Found Feb 12, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Shell
AI Summary

A privacy-focused macOS app that captures a screen region with a shortcut and copies readable text from it locally.

How It Works

1
🔍 Need text from an image

You see equations in a paper, tables in slides, or scanned PDFs and wish you could just copy the text.

2
📥 Find and install the tool

Head to the project's page on GitHub and run their simple one-click setup to add it to your Mac.

3
🔐 Grant screen permission

In your Mac's privacy settings, allow the little helper app to capture parts of your screen.

4
🔄 Reload the helper

Click the helper's icon in your menu bar and choose reload – everything is now ready to go.

5
⌘ Hit Cmd+Shift+O

Press the handy shortcut, and your screen waits for you to pick the spot.

6
✂️ Select your area

Drag a box around the text, table, or equation you want – it feels quick and precise.

✓ Text is yours!

Watch the success checkmark pop up, hear a cheerful sound, and paste the perfect text anywhere with Cmd+V.

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AI-Generated Review

What is better-live-text?

better-live-text delivers local OCR on macOS through a lightweight Shell setup powered by llama.cpp and Hammerspoon hotkeys. Press Cmd+Shift+O to select any screen region—from LaTeX equations in papers to tables in scanned PDFs—and it extracts text directly to your clipboard. It solves clunky text grabbing from images, keeping everything offline for privacy and speed.

Why is it gaining traction?

Unlike cloud OCR services, it's fully local with no data leaks, pure bash for instant startup, and excels at structured content like math or code snippets. The single hotkey and auto-cleanup make it a seamless upgrade over Apple's Live Text, hooking devs who want better GitHub dashboard grabs or quick error message copies without slowdowns. Model options balance speed and quality on Apple Silicon.

Who should use this?

macOS Apple Silicon users like researchers digitizing papers, devs screenshotting slides or bugs for better GitHub search and profiles, or anyone chasing better life balance via faster text pulls. Suits those ditching web tools for offline reliability in daily workflows.

Verdict

Solid for niche local OCR needs despite 18 stars and 1.0% credibility score—docs are clear, install/uninstall painless, MIT licensed. Early maturity means test on non-critical tasks, but it delivers real better life gains if you match the requirements.

(178 words)

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