Initial CutScript release - Open-source AI-powered text-based video editor
CutScript is a local-first, Descript-like video editor where you edit video by editing text. Delete a word from the transcript and it's cut from the video. Features: - Word-level transcription with WhisperX - Text-based video editing with undo/redo - AI filler word removal (Ollama/OpenAI/Claude) - AI clip creation for shorts - Waveform timeline with virtualized transcript - FFmpeg stream-copy (fast) and re-encode (4K) export - Caption burn-in and sidecar SRT generation - Studio Sound audio enhancement (DeepFilterNet) - Keyboard shortcuts (J/K/L, Space, Delete, Ctrl+Z/S/E) - Encrypted API key storage - Project save/load (.aive files) Architecture: - Electron + React + Tailwind (frontend) - FastAPI + Python (backend) - WhisperX for transcription - FFmpeg for video processing - Multi-provider AI support Performance optimizations: - RAF-throttled time updates - Zustand selectors for granular subscriptions - Dual-canvas waveform rendering - Virtualized transcript with react-virtuoso Built on top of DataAnts-AI/VideoTranscriber, completely rewritten as a desktop application. License: MIT
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.github/workflows/docker-build.yml
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name: Build and Push Docker Images
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on:
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push:
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branches: [ main, develop ]
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tags: [ 'v*' ]
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pull_request:
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branches: [ main ]
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release:
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types: [published]
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env:
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REGISTRY: ghcr.io
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jobs:
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build:
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runs-on: ubuntu-latest
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permissions:
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contents: read
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packages: write
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steps:
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- name: Free up disk space
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run: |
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echo "Disk space before cleanup:"
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df -h
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# Remove unnecessary large packages
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sudo rm -rf /usr/share/dotnet
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sudo rm -rf /usr/local/lib/android
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sudo rm -rf /opt/ghc
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sudo rm -rf /opt/hostedtoolcache/CodeQL
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sudo rm -rf /usr/local/share/boost
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sudo rm -rf /usr/share/swift
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# Clean apt cache
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sudo apt-get clean
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# Clean Docker
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docker system prune -af
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echo "Disk space after cleanup:"
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df -h
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- name: Checkout repository
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uses: actions/checkout@v4
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- name: Set up Docker Buildx
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uses: docker/setup-buildx-action@v3
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- name: Log in to Container Registry
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uses: docker/login-action@v3
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with:
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registry: ${{ env.REGISTRY }}
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username: ${{ github.actor }}
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password: ${{ secrets.GITHUB_TOKEN }}
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- name: Convert repository name to lowercase
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id: lowercase-repo
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run: echo "repository=$(echo ${{ github.repository }} | tr '[:upper:]' '[:lower:]')" >> $GITHUB_OUTPUT
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- name: Extract metadata
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id: meta
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uses: docker/metadata-action@v5
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with:
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images: ${{ env.REGISTRY }}/${{ steps.lowercase-repo.outputs.repository }}
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tags: |
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type=ref,event=branch
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type=ref,event=pr
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type=semver,pattern={{version}}
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type=semver,pattern={{major}}.{{minor}}
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type=semver,pattern={{major}}
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type=raw,value=latest,enable={{is_default_branch}}
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- name: Build and push Docker image (CPU)
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uses: docker/build-push-action@v5
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with:
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context: .
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platforms: linux/amd64
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push: true
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tags: ${{ steps.meta.outputs.tags }}
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labels: ${{ steps.meta.outputs.labels }}
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cache-from: type=gha
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cache-to: type=gha,mode=max
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- name: Clean up Docker to free space for GPU build
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run: docker system prune -af
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- name: Build and push GPU-enabled image
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uses: docker/build-push-action@v5
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with:
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context: .
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file: Dockerfile.gpu
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platforms: linux/amd64
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push: true
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tags: |
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${{ env.REGISTRY }}/${{ steps.lowercase-repo.outputs.repository }}:latest-gpu
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${{ env.REGISTRY }}/${{ steps.lowercase-repo.outputs.repository }}:${{ github.sha }}-gpu
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labels: ${{ steps.meta.outputs.labels }}
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cache-from: type=gha
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cache-to: type=gha,mode=max
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