# SCUTlihaoyu/open-chat-video-editor

Open source short video automatic generation tool

Repository: https://github.com/SCUTlihaoyu/open-chat-video-editor
Canonical: https://ross.abutalabs.com/products/open-chat-video-editor
Language: Python
License Family: other
Last push: 2023-06-20T07:39:22+00:00

## Health v2 (maintenance only)
Score: 29/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 86
- inputs: {"age_days": 1216, "days_push": 1170, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2813, forks 361 (observed 2026-08-28T04:07:23.760941+00:00)

## What it is
An open-source Python tool that automatically generates short videos from a short text prompt or a web URL, producing narration, background music, and subtitles. It combines LLMs like ChatGPT for script generation with image/video retrieval and Stable Diffusion generation for visuals.

## Use cases
- generate a short video from a text prompt
- turn a web page url into a narrated short video
- create social media short videos with voiceover and subtitles automatically
- generate video visuals via stable diffusion or clip-based retrieval
- summarize web content into a video script
- batch produce short videos for content marketing

## When to choose
- you want one-click automated short video creation from text or urls
- you want to study or extend an open-source multimodal video generation pipeline
- you need both retrieval-based and generative (stable diffusion) visual modes
- you want a self-hosted alternative to closed video generation services

## When to avoid
- you need long-video-to-short-video summarization (not yet implemented)
- you require a permissively licensed project (no license is specified)
- you need a polished hosted product or online demo (planned but unavailable)
- you need video generation with stable diffusion (still a TODO)
- you need guaranteed GPU support in docker across cuda versions

## Facets
- artifact type: application
- maturity: maintenance
- function: video-processing, nlp, machine-learning, stable-diffusion, rag, web-scraping, speech-recognition, tts
- domain: artificial-intelligence, media, deep-learning
- platform: windows, python
- tags: text-to-video, url-to-video, short-video-generation, chatgpt, clip, multimodal, video-editing, no-license, video, natural-language-processing, linux, docker, gpu

## Member repositories
- SCUTlihaoyu/open-chat-video-editor (main) score 29

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:23.760941+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 2026-08-30T08:13:29.654970+00:00, confidence not recorded.
  - readme: https://github.com/SCUTlihaoyu/open-chat-video-editor (fetched 2026-08-28T04:07:23.760941+00:00, sha acc140342cc5)
- Data as of 2026-08-30T08:39:29.467469+00:00.