# DevonCrawford/Video-Editing-Automation

Toolkit of algorithms to automate the video editing process

Repository: https://github.com/DevonCrawford/Video-Editing-Automation
Canonical: https://ross.abutalabs.com/products/video-editing-automation
Language: C
License: GPL-3.0
License Family: copyleft
Last push: 2019-03-05T05:26:27+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2758, "days_push": 2738, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1200, forks 164 (observed 2026-08-28T04:03:58.096506+00:00)

## What it is
A C toolkit of algorithmic building blocks built on top of ffmpeg to automate parts of the video editing process. It provides source code and examples for a partially-autonomous editing workflow where a human editor strategically applies the algorithms.

## Use cases
- automate repetitive video editing tasks
- cut and assemble footage programmatically with ffmpeg
- build custom video editing automation scripts
- save time on manual video editing workflows

## When to choose
- you want programmatic, algorithm-driven video editing on top of ffmpeg
- you are comfortable compiling ffmpeg from source and writing C code
- you need reusable building blocks rather than a turnkey editor

## When to avoid
- you want a polished GUI video editor
- you need a stable, well-documented production library - it is a work in progress with no recent releases
- you prefer Python or higher-level video editing frameworks

## Facets
- artifact type: library
- maturity: maintenance
- function: video-processing, image-processing
- domain: media
- platform: cpp, windows
- tags: ffmpeg, video-editing, c, automation-toolkit, video, automation, linux, macos

## Member repositories
- DevonCrawford/Video-Editing-Automation (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:58.096506+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 2026-08-30T06:20:44.543232+00:00, confidence not recorded.
  - readme: https://github.com/DevonCrawford/Video-Editing-Automation (fetched 2026-08-28T04:03:58.096506+00:00, sha 26530a0d1ce6)
- Data as of 2026-08-30T08:39:29.467469+00:00.