How Clipforge actually works
The real mechanics behind each engine — not a feature list.
Script to video
- 1.You paste a topic, a script, or a blog post.
- 2.An LLM writes a 30-45 second spoken script, plus 4-6 visual keywords pulled from what the script is actually about.
- 3.Those keywords drive a real stock b-roll search — the footage is chosen to match content, not stitched randomly.
- 4.Text-to-speech generates the voiceover, word-by-word timing is captured for captions.
- 5.Everything renders together — b-roll, captions, voiceover, optional watermark — into one final vertical video.
Repurpose
- 1.You upload a long-form video — a podcast, an interview, a stream.
- 2.Audio is transcribed and scanned for highlight-worthy moments.
- 3.Each candidate clip gets cut, and the crop automatically tracks whoever's speaking using on-device face detection — no manual reframing.
- 4.Captions and a hook-strength score are generated per clip, so you know which one to post first.
UGC-style ad videos
- 1.You describe a product and its selling points.
- 2.An ad script is written in a talking-to-camera style, not a generic voiceover-over-b-roll format.
- 3.A voiceover is generated and paired with matched b-roll and captions to produce a finished ad — no camera, no actor, no studio.
Trend Radar, in real detail
This is the feature we think most differentiates Clipforge — it deserves more than a homepage FAQ answer.
Track channels, not just keywords
You pick a niche and up to 10 inspiration channels. Every few hours, Clipforge pulls each channel's recent videos through the official YouTube Data API — no scraping, ever.
Breakout scoring against each channel's own baseline
A video only counts as "breaking out" if its view velocity is at least 3x that specific channel's own historical median — never a global popularity bar, since a 10k-subscriber channel and a 10M-subscriber channel have completely different normal. This also means a brand-new tracked channel's feed stays honestly sparse for the first few days: velocity needs real time-spaced observations, so there's no shortcut that doesn't mean fabricating a signal.
Pattern extraction, never the content itself
For videos that clear the breakout threshold, an LLM looks at the title, description, and thumbnail — never the video's actual audio or spoken words — and extracts a structural pattern: hook type, pacing, what emotional beat it's hitting. That pattern is what gets cached and reused, not anything from the source video's actual content.
One tap turns a pattern into your own original script
"Make My Version" hands that structural pattern to the normal script generator, which writes something new in that style on your own angle. A word-overlap guardrail checks the result against telltale similarity to the source before it's ever shown to you, and automatically retries once if it's too close.
See it work on your own idea
Try a real generation on the homepage — no signup required — or create an account for the full pipeline.