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

backend/routers/audio.py

@@ -0,0 +1,38 @@
+"""Audio processing endpoint (noise reduction / Studio Sound)."""
+
+import logging
+from typing import Optional
+
+from fastapi import APIRouter, HTTPException
+from pydantic import BaseModel
+
+from services.audio_cleaner import clean_audio, is_deepfilter_available
+
+logger = logging.getLogger(__name__)
+router = APIRouter()
+
+
+class AudioCleanRequest(BaseModel):
+    input_path: str
+    output_path: Optional[str] = None
+
+
+@router.post("/audio/clean")
+async def clean_audio_endpoint(req: AudioCleanRequest):
+    try:
+        output = clean_audio(req.input_path, req.output_path or "")
+        return {
+            "status": "ok",
+            "output_path": output,
+            "engine": "deepfilternet" if is_deepfilter_available() else "ffmpeg_anlmdn",
+        }
+    except Exception as e:
+        logger.error(f"Audio cleaning failed: {e}", exc_info=True)
+        raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.get("/audio/capabilities")
+async def audio_capabilities():
+    return {
+        "deepfilternet_available": is_deepfilter_available(),
+    }