# FujiwaraChoki/supoclip

An open-source OpusClip alternative

Repository: https://github.com/FujiwaraChoki/supoclip
Canonical: https://ross.abutalabs.com/products/supoclip
Homepage: https://www.supoclip.com/
Language: Python
License: AGPL-3.0
License Family: copyleft
Last push: 2026-08-22T01:50:00+00:00

## Health v2 (maintenance only)
Score: 62/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 35, longevity 28
- inputs: {"age_days": 401, "days_push": 12, "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 1086, forks 295 (observed 2026-08-28T04:03:32.154348+00:00)

## What it is
SupoClip is an open-source, AI-powered video clipping tool that turns long videos like podcasts and streams into vertical 9:16 short clips with AI-selected highlights, virality scoring, face-centered cropping, and word-synced subtitles. It can be self-hosted via Docker, used through a hosted web app or iOS app, or accessed via a REST API and MCP server.

## Use cases
- turn long podcasts into tiktok clips
- create youtube shorts from a long video automatically
- self-hosted opusclip alternative without watermarks
- auto-generate captioned vertical clips with subtitles
- find the most viral moments in a stream VOD
- batch clip videos via an API
- clip videos from claude or cursor using MCP

## When to choose
- you want an open-source, self-hostable alternative to OpusClip with no watermarks or usage metering
- you need face-aware 9:16 cropping and word-synced animated captions
- you want to automate clip generation through a REST API or MCP server
- you want unlimited processing on your own hardware

## When to avoid
- you need a fully managed zero-setup solution and don't mind a paid SaaS
- you lack the GPU/CPU resources or API keys (LLM, transcription) to run the pipeline yourself
- you need advanced manual video editing rather than automated clipping
- AGPL-3.0 licensing is incompatible with your intended use

## Facets
- artifact type: application
- maturity: active
- function: video-processing, machine-learning, speech-recognition, llm-inference, mcp, web-framework, self-hosted
- domain: artificial-intelligence, media, social-media, self-hosted
- platform: self-hosted, python, cross-platform
- tags: video-clipping, opusclip-alternative, shorts, tiktok, reels, virality-scoring, subtitles, face-detection, youtube, content-creation, video, natural-language-processing, docker, web-server, ios

## Member repositories
- FujiwaraChoki/supoclip (main) score 62

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:32.154348+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 2026-08-30T06:49:30.480787+00:00, confidence not recorded.
  - readme: https://github.com/FujiwaraChoki/supoclip (fetched 2026-08-28T04:03:32.154348+00:00, sha 4c560d185691)
  - homepage: https://www.supoclip.com/ (fetched 2026-08-29T12:52:35.813593+00:00, sha 2a7a4afa544a)
- Data as of 2026-08-30T08:39:29.467469+00:00.