長い動画のリンク、またはアップロードしたファイルを渡してください。元動画を読み取り、切り抜く価値のある区間を自ら判断し、字幕付きの短いクリップを生成して結果を確認します。合格したものだけを、おすすめのタイトル、冒頭のフック、ハッシュタグとともにお届けします。
ショート動画を送ると、冒頭の6秒を1コマずつ読みます。毎秒、画面に何が映り何が聞こえるか、映像が止まる所や音が途切れる所、秒ごとのリスクとその理由、撮り直せる冒頭案を3つお渡しします。レポート画像1枚と診断内容をTikTok、Reels、YouTube Shorts向けにまとめます。
Paste your Shorts topic and get a feed-ready title, a 3-second hook, and a script with retention beats at 15s and 30s — so viewers stay past the swipe zone.
Send your podcast, interview, stream or talk and get finished vertical clips back: the moments that stand alone, cut to 9:16 with word-by-word captions, framing that follows the speaker, level sound, and a title, hook and post caption for each. No transcript needed. Upload the video or paste a direct link to the file.
Stop rewatching long videos to find clips. Drop in a YouTube URL and get Shorts candidate cards with timecodes, a first-3-seconds hook, a vertical script, and paste-ready ffmpeg cut commands. Transcripts come via yt-dlp (manual subtitles first, auto fallback); picks are ranked against a 9-type hook catalog and a 5-point checklist. Conditions like "under 45s only" apply as-is; exclusions are reported with reasons. Includes 2 Python scripts (343 lines). No video editing or speech-to-text.
Turn your own video and matching SRT into source-linked vertical clips: MP4s, editable subtitles, a review page and original time ranges. Render locally with Python and FFmpeg, without a paid video API or per-render service fee. No transcription, URL download or publishing. Review context, caption alignment and audio before posting.
Turn one long speech-led video into a tighter finished MP4 at your target length — without cutting away the context that makes it make sense.