What is Klip Farm?
Klip Farm is AI clipping software that turns long-form videos and livestreams into scored, captioned short clips for review. Candidate previews are free, and customers pay only for clips they approve for their library.
One name, one software product
Klip Farm, at klip.farm, is a web application for AI clipping. It is not the generic practice often called clip farming, and it is not a marketplace or agency that pays human clippers for views. This site describes one product: supported long-form links go in, scored and captioned vertical candidates come out for review, and approval is the billable decision.
The product idea
Recording long-form content is only the first half of the job. Creators, podcasters, livestreamers, agencies, and marketing teams still have to find moments that stand alone, frame them for vertical viewing, caption them, review the result, and decide what belongs in the release calendar. Klip Farm is built to make that path inspectable: automation prepares the candidates, and the customer keeps the final editorial decision.
See how Klip Farm's AI clipping worksCurrent beta scope
Beta access is currently approval-gated. Public link intake for approved accounts centers on YouTube, Twitch, and Kick. The workflow prepares scored, captioned vertical previews for review, supports brand and caption preferences, and organizes approved clips in the signed-in workspace. Approved accounts receive a 30-day Beta Base Pass; purchased approval packs are separate. Sources and features still rolling out are labeled beta, planned, or coming soon on their relevant pages.
Three operating principles
Show the reason
Candidate clips keep the selection decision connected to visible qualities such as hook, flow, value, captions, framing, and quality checks.
Bill the approved output
Processing, watermarked previews, rejected candidates, and re-edits are not the product customers buy. Approval is the billable event.
Label the boundary
Beta, planned, and coming-soon behavior should be named plainly. A larger feature list is not useful if a customer cannot rely on it today.
Judge the output, then decide.
Request access with a supported source. Once approved, review the watermarked candidates and keep only the clips that fit your audience.