[PR #738] [CLOSED] Add qr-multi-imgs #17238

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opened 2026-07-13 05:10:26 -05:00 by GiteaMirror · 0 comments
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📋 Pull Request Information

Original PR: https://github.com/rothgar/awesome-tuis/pull/738
Author: @thousandflowers
Created: 6/28/2026
Status: Closed

Base: mainHead: add-qr-multi-imgs


📝 Commits (1)

  • 0358291 Add qr-multi-imgs to Multimedia

📊 Changes

1 file changed (+1 additions, -0 deletions)

View changed files

📝 README.md (+1 -0)

📄 Description

Adds qr-multi-imgs to the Multimedia section (alphabetical, between pyradio and RadioGoGo).

A Bubble Tea TUI that batch-scans a folder of images for QR codes, then lets you organize (with/without QR), delete, export (JSON/CSV/TXT), and recreate codes (PNG/JPG/SVG) — all from the terminal.

  • Pure Go, zero CGo, zero system dependencies.
  • 100% detection (3332/3332) on a damaged/distorted stress dataset, ~7s on an M2 Pro.
  • MIT, runs on macOS / Linux / Windows.

🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.

## 📋 Pull Request Information **Original PR:** https://github.com/rothgar/awesome-tuis/pull/738 **Author:** [@thousandflowers](https://github.com/thousandflowers) **Created:** 6/28/2026 **Status:** ❌ Closed **Base:** `main` ← **Head:** `add-qr-multi-imgs` --- ### 📝 Commits (1) - [`0358291`](https://github.com/rothgar/awesome-tuis/commit/0358291bd90565249be9807293f85cc9b5dd0142) Add qr-multi-imgs to Multimedia ### 📊 Changes **1 file changed** (+1 additions, -0 deletions) <details> <summary>View changed files</summary> 📝 `README.md` (+1 -0) </details> ### 📄 Description Adds [qr-multi-imgs](https://github.com/thousandflowers/qr-multi-imgs) to the **Multimedia** section (alphabetical, between `pyradio` and `RadioGoGo`). A [Bubble Tea](https://github.com/charmbracelet/bubbletea) TUI that batch-scans a folder of images for QR codes, then lets you organize (with/without QR), delete, export (JSON/CSV/TXT), and recreate codes (PNG/JPG/SVG) — all from the terminal. - Pure Go, zero CGo, **zero system dependencies**. - **100% detection (3332/3332)** on a damaged/distorted stress dataset, ~7s on an M2 Pro. - MIT, runs on macOS / Linux / Windows. --- <sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>
GiteaMirror added the pull-request label 2026-07-13 05:10:26 -05:00
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Reference: github-starred/awesome-tuis#17238