base studio
base studio / products / clipper
private beta · q2 2026 macOS · Windows · Linux Tauri 2 · ~14 MB

turn one long video into ten short ones.

Clipper watches your podcast / livestream / lecture recording and proposes the 10 moments worth cutting. You keep the file — nothing leaves your machine. Bring your own Claude key.

Sources
ep_042_AI_native.mp4
livestream_05_17.mov
interview_dan_s.mp4
workshop_export.mp4
transcript · ep_042_AI_native 04 / 12 picks
00:12:04the way we used to evaluate models was kind of broken —
00:13:18but with multi-turn synthesis you can actually compose three skills
00:14:02and that changes how the whole workflow looks
00:15:30honestly, this is the moment I stopped worrying about scale
00:16:45and started worrying about the right unit of evaluation
Suggested clips · 10
"the part nobody disagrees with"
00:14:22 · 47s · 9:16
"the founder anecdote"
00:31:08 · 62s · 9:16
"the line that contradicts itself"
00:47:55 · 38s · 9:16
01 what it is

A clip editor that knows your show, not just your speech.

Most "AI clip" tools pick the loudest minute of your video. Clipper reads the transcript with your context (the show name, the episode topic, the audience you actually have) and proposes clips with a one-line reason for each. You approve, edit, or trash any cut before export. No cloud upload — the file stays on your disk.

02 how it works

Four steps. Nothing leaves your machine.

Built on Tauri 2 for a 14 MB native binary, FFmpeg for transcode, and your own Anthropic Claude key for the only network call. The transcript is local Whisper.cpp.

step 01

Drop your file

Drag any .mp4 / .mov / .wav. Local Whisper transcribes in ~0.4× realtime on M1 Air.

step 02

Tell it your context

One paragraph: who's on, what show, what kind of clips you want. The system prompt is editable.

step 03

Claude proposes

Your Claude key picks 10 candidate clips with start/end timestamps and a one-line reason for each.

step 04

Approve & export

Trim, retitle, or trash each clip. Export as 9:16, 1:1, or 16:9 with optional captions. FFmpeg locally.

03 stack & specs

Boringly local. Annoyingly fast.

Runtime Tauri 2.0 native binary · ~14 MB · single window app
Platforms macOS 12+Windows 10+Linux (deb/AppImage)
Transcription whisper.cpp local · ggml-medium.en · Metal/CUDA accelerated when available
Clip selection Anthropic Claude · BYOK · uses your ~/.anthropic/key or paste once
Transcoding ffmpeg 6 bundled · 9:16 / 1:1 / 16:9 export with optional burnt-in captions
Telemetry None. The only outbound call is to api.anthropic.com with your key.
Source Source-available · github.com/yayashuxue/clip-cutter (private during beta)
04 who it's for

Hosts who know their show better than any AI.

We built this for the people who hate OpusClip's black-box selection — the ones who already know which 90 seconds matter, but don't want to scrub 45 minutes to extract them.

podcast hosts

Get 10 social cuts after every episode without sending audio to a 3rd party.

Especially: founder-interview, technical, or long-form shows where context-blind clippers miss the actual moment.

"OpusClip thinks the joke is the moment. I know the question right before it is."
livestream creators

Turn a 3-hour stream VOD into 12 shorts before you sleep.

Local processing means a 3-hour file doesn't cost $40 in cloud GPU credits.

"The whole point of streaming is I don't have time to edit. This is the missing step."
educators & researchers

Turn lectures, conference talks, or interviews into searchable, shareable moments.

Transcript-grounded suggestions mean clips that quote, not just clips that are loud.

"Every conference talk I give could have been five LinkedIn posts. Now it actually is."
05 pricing

Buy it once. Keep it forever.

No subscription. Your file. Your key. Your clips. Founder edition is capped at the first 100 customers — that's the only artificial scarcity.

Retail
After founder run sells out
$19 one-time
  • Lifetime license, all future updates
  • macOS · Windows · Linux
  • BYOK Claude (Pro or API key)
  • Standard email support

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