{
  "schema": "tesign-radar/item/1",
  "generated_at": "2026-09-23T04:12:15.539Z",
  "lang": "en",
  "slug": "autoclip",
  "url": "https://tesign.com/en/item/autoclip/",
  "alternates": {
    "ko": {
      "html": "https://tesign.com/item/autoclip/",
      "json": "https://tesign.com/item/autoclip/index.json",
      "markdown": "https://tesign.com/item/autoclip/index.md"
    },
    "en": {
      "html": "https://tesign.com/en/item/autoclip/",
      "json": "https://tesign.com/en/item/autoclip/index.json",
      "markdown": "https://tesign.com/en/item/autoclip/index.md"
    }
  },
  "name": "AutoClip",
  "use_label": "Auto-clip highlights from long videos",
  "one_liner": "Drop in a long video and AI finds the highlights, cutting captioned short clips automatically.",
  "text": {
    "why": "Finding the watchable moments in a long interview, lecture or stream replay is tedious work. AutoClip reads the subtitles and audio with AI, scores highlights, writes titles, and cuts captioned short clips and compilations automatically.",
    "take": "Plenty of tools promise AI video editing; being able to pick desktop, web or CLI from one project, and swap the model provider freely, is the practical part.",
    "build": [
      "Available as a desktop app (Mac/Windows), a Docker web UI, or a CLI/MCP pipeline. Feed it a local file or a YouTube/Bilibili link, it prepares subtitles, scores highlight segments with your choice of model (Qwen, an OpenAI-compatible endpoint, Gemini, or a local Ollama/LM Studio model), and cuts clips. Direct publishing to TikTok, YouTube Shorts and more shipped in v1.3.2."
    ],
    "who": [
      {
        "role": "Content creators who need short clips out of interviews, lectures or stream replays, and podcasters looking to cut editing time.",
        "situation": null
      }
    ],
    "start": [
      {
        "command": false,
        "text": "Download the Mac or Windows build from GitHub Releases, add an API key for your chosen model in settings, and import a video."
      }
    ],
    "caveat": [
      "AI analysis needs an API key from a model provider such as Qwen or OpenAI (a local Ollama model is free). The interface defaults to Chinese, but has supported 8 languages including Korean since v1.3.1."
    ]
  },
  "cta": {
    "type": "install",
    "label": "INSTALL",
    "url": "https://zhouxiaoka.github.io/autoclip_intro"
  },
  "ready": "install",
  "categories": [
    "media",
    "ai"
  ],
  "categories_confirmed": true,
  "tags": [
    "영상 편집",
    "ai 클리핑",
    "콘텐츠 제작",
    "데스크톱"
  ],
  "platform": [
    "windows",
    "macos",
    "web",
    "cli"
  ],
  "license": {
    "spdx": "MIT",
    "scope": "permissive",
    "scope_text": "Use, change and redistribute, commercially too. Keep the notice.",
    "url": "https://spdx.org/licenses/MIT.html",
    "note": null,
    "open_source": true
  },
  "language": "Python",
  "source_urls": {
    "canonical": "https://zhouxiaoka.github.io/autoclip_intro",
    "github": "https://github.com/zhouxiaoka/autoclip",
    "huggingface": null,
    "app_store": null,
    "sightings": [
      {
        "source": "github",
        "url": "https://github.com/zhouxiaoka/autoclip",
        "posted_at": "2026-09-21T18:00:00.000Z",
        "hn_url": null
      }
    ]
  },
  "numbers": {
    "as_of": "2026-09-22T23:00:00.000Z",
    "stars": 8278,
    "stars_unit": "GitHub stars",
    "stars_checked_at": "2026-09-22T01:32:51.735Z",
    "stars_observed_since_check": 11,
    "star_delta_24h": 17,
    "star_delta_7d": 27,
    "star_delta_30d": 34,
    "star_delta_unit": "GitHub stars gained in the window, GH Archive events summed to as_of",
    "spark_14d": [
      null,
      null,
      null,
      null,
      null,
      null,
      null,
      null,
      null,
      null,
      null,
      2,
      8,
      17
    ],
    "hf_likes": null,
    "hf_likes_observed_at": null,
    "hn_points": null,
    "hn_points_observed_at": null,
    "store": null,
    "method": "Star total = the value last checked on GitHub (stars_checked_at) + increases observed via GH Archive since. The 24h · 7d · 30d gains are GH Archive hourly events summed to the reference time (as_of). No score of ours."
  },
  "ranks": {
    "as_of": "2026-09-22T23:00:00.000Z",
    "all_time": null,
    "rising": {
      "24h": null,
      "7d": null,
      "30d": null
    },
    "categories": [
      {
        "category": "media",
        "label": "MEDIA",
        "rank": 16
      }
    ]
  },
  "activity": {
    "pushed_at": "2026-09-21T17:19:32.000Z",
    "owner_type": null,
    "open_issues": null,
    "contributors": null,
    "releases_count": null,
    "latest_release": null,
    "checked_at": null,
    "core_checked_at": "2026-09-22T01:32:51.735Z"
  },
  "signals": [],
  "images": {
    "og": "https://tesign.com/img/autoclip-4ab9aa959a.jpg",
    "cover": "https://tesign.com/img/autoclip-4ab9aa959a.jpg",
    "cover_width": 479,
    "cover_height": 467,
    "gallery": [
      "https://tesign.com/img/autoclip-4ab9aa959a.jpg"
    ],
    "alt": "AutoClip's import screen: a drag-and-drop area for video files above an empty project list.",
    "tier": 2
  },
  "dates": {
    "first_seen_at": "2026-09-22T00:32:42.312Z",
    "source_created_at": "2025-07-08T04:51:15.000Z",
    "discovery_hours": 10579.69092,
    "launch_signal_at": "2026-09-21T18:00:00.000Z",
    "kept_at": "2026-09-23T02:05:15.144Z",
    "first_published_at": "2026-09-23T02:05:15.311Z",
    "updated_at": "2026-09-23T02:05:15.263Z",
    "ingestion_mode": "live"
  },
  "notes": [
    "This file was produced by the same build, from the same data, as the tesign.com item page. The text is editorial; the numbers are stored observations.",
    "null in the JSON means not observed — never zero. The Markdown writes [unconfirmed] for it.",
    "Star total = the value last checked on GitHub (stars_checked_at) + increases observed via GH Archive since. The 24h · 7d · 30d gains are GH Archive hourly events summed to the reference time (as_of). No score of ours.",
    "A summary, not legal advice."
  ]
}