# mortenjust/droptogif

Zero-click animated Gifs

Repository: https://github.com/mortenjust/droptogif
Canonical: https://ross.abutalabs.com/products/droptogif
Language: Swift
License Family: other
Last push: 2015-12-30T06:42:43+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3983, "days_push": 3899, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2698, forks 136 (observed 2026-08-28T04:07:11.301714+00:00)

## What it is
A macOS app that converts movie files to animated GIFs with zero clicks, either by dragging a video onto the app or by watching a folder and converting any movie saved there. It uses ffmpeg and ImageMagick under the hood and offers FPS settings to trade off file size and quality.

## Use cases
- convert screen recordings to gifs automatically
- watch a folder and turn any saved movie into a gif
- drag a video file onto an app to make an animated gif
- batch convert quicktime recordings to gifs
- tune gif fps to balance file size and quality

## When to choose
- you're on macOS 10.10+ and want effortless movie-to-GIF conversion
- you want automatic conversion of videos dropped into a watched folder
- you prefer a simple drag-and-drop GUI over command-line tools like gifify

## When to avoid
- you need a maintained tool - the project hasn't been updated since 2015
- you're on Windows or Linux
- you need fine-grained GIF encoding controls beyond FPS settings
- you want a CLI or scriptable workflow

## Facets
- artifact type: application
- maturity: abandoned
- function: video-processing, image-processing, file-system
- domain: media, developer-tools
- platform: -
- tags: gif-conversion, watch-folder, zero-click, ffmpeg, drag-and-drop, macos, desktop

## Member repositories
- mortenjust/droptogif (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:11.301714+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:16:09.060038+00:00, confidence not recorded.
  - readme: https://github.com/mortenjust/droptogif (fetched 2026-08-28T04:07:11.301714+00:00, sha 9e01bfdba16a)
- Data as of 2026-08-30T08:39:29.467469+00:00.