This page is designed to help you find out whether Agentic-Cutter is good and if it is the right choice for you.
AgenticCutter is a local-first macOS app for editing talking-head videos and screencasts. It transcribes footage locally and proposes cuts for pauses and filler words. Review and approve the proposed edits before rendering on your Mac. Editing decisions can use Claude Code or Codex CLI, with an optional LM Studio configuration. Cloud-based decision models may process transcript context; local transcription and rendering do not mean every configuration is fully offline. Built for Apple Silicon Macs running macOS 26 or later.
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Local speech transcription
Transcribes footage on your Mac with mlx-whisper
Filler word removal
Proposes cuts for filler words for you to approve
Silence removal
Proposes cuts for long pauses
Approve before render
Export stays locked until you approve the cut
SRT subtitle export
Exports subtitles as an SRT file
Chapter marks
Adds chapter marks for the published video
Loudness normalisation
Normalises loudness when exporting
MP4 and ProRes export
Renders MP4 or ProRes on your Mac
AgenticCutter combines transcript-based editing with local video processing on Apple Silicon. It proposes cuts for filler words and pauses, lets you review and adjust the transcript, and renders after approval. You can steer the workflow in plain language through Claude Code or Codex, or use a local model through LM Studio. The source video stays on your Mac.
Choose it when you want to reduce repetitive cleanup while keeping control of the final edit and processing your footage locally. Reviewable cut decisions, transcript editing and ordinary exported files make the workflow easy to inspect. Try the direct-download version free for seven days to check it against your own recordings. It is also on the Mac App Store as a free download with a 7-day trial of the subscription.
Solo creators, educators and developers recording talking-head videos, tutorials and screencasts on a Mac. It is particularly suited to German-speaking creators; English transcription and a German/English interface are also supported. It is designed for spoken-content editing rather than multicamera production.
Bernhard Götzendorfer, an independent builder in Vienna, built AgenticCutter around his own talking-head and screencast workflow: turn an uncut recording into a reviewable edit without manually cleaning every pause and filler word. The project grew from an agent-driven terminal workflow into a native Mac app, keeping local processing and explicit review at its core.
A native Swift/SwiftUI macOS app works with a Python processing engine. mlx-whisper handles local transcription and ffmpeg performs video editing and rendering. Cut decisions are stored in an EDL JSON. The direct-download workflow can use Claude Code, Codex or a local model served through LM Studio for editing decisions.
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