The #1 complaint about AI clipping tools: the AI picks the wrong moments. ClipForge fixes that by actually understanding your content — not just hunting for loud audio peaks or keyword density. Paste any transcript (podcast, YouTube, livestream, lecture) and ClipForge identifies your 5-10 most viral-worthy segments using a semantic 5-dimension virality framework. ## What's included - **5-dimension semantic scoring** — hook strength, standalone value, emotional resonance, quotability, platform fit; every clip scored 0-100 with honest explanation of why it will or won't perform - **Clip type classification** — Insight Drop, Hot Take, Story Arc, Quotable, Reversal, Tutorial, Emotional Peak; understand the pattern behind what performs - **Platform-specific captions per clip** — TikTok (150 chars), Instagram Reels (300 chars), YouTube Shorts (100 chars), LinkedIn (500-800 chars professional framing) - **Ready-to-use SRT subtitle files** for each clip — copy, save as .srt, done - **ffmpeg commands** — lossless clip extraction, precise re-encode mode, batch extraction scripts, vertical 9:16 crop for short-form; run in terminal with no editing tool - **Multi-input support** — pasted transcript text, SRT files with exact timestamps, manual YouTube transcript copies - **Channel memory** — niche, platform preferences, what historically worked for your audience ## Limitations - **No video rendering** — ffmpeg commands given; you run them locally (no GPU/cloud render) - **Doesn't post for you** — generates captions; you publish via native apps - **English-first** — multilingual transcripts work but virality scoring is most accurate in English - **Single-channel scope** by default — agencies running 5+ creators run per-creator sessions - **Transcript quality dependent** — auto-generated YouTube transcripts work; cleaner sources (Otter, Descript) produce better picks ## Best fit Podcasters and long-form YouTubers who want to repurpose content without watching hours of footage. Creators using OpusClip or Descript who keep getting the wrong moments auto-picked. Educators, coaches, consultants turning lectures into TikTok / LinkedIn content. Especially valuable as a "second opinion" before editors start cutting — the wrong moment is expensive to discover after 4 hours of editing, but cheap to catch in the 60-second virality scoring pass.
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