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/main.py

@@ -0,0 +1,117 @@
+import logging
+import os
+import stat
+from contextlib import asynccontextmanager
+from pathlib import Path
+
+from fastapi import FastAPI, Query, Request, HTTPException
+from fastapi.middleware.cors import CORSMiddleware
+from fastapi.responses import StreamingResponse
+
+from routers import transcribe, export, ai, captions, audio
+
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+    logger.info("AI Video Editor backend starting up")
+    yield
+    logger.info("AI Video Editor backend shutting down")
+
+
+app = FastAPI(
+    title="AI Video Editor Backend",
+    version="0.1.0",
+    lifespan=lifespan,
+)
+
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+    expose_headers=["Content-Range", "Accept-Ranges", "Content-Length"],
+)
+
+app.include_router(transcribe.router)
+app.include_router(export.router)
+app.include_router(ai.router)
+app.include_router(captions.router)
+app.include_router(audio.router)
+
+
+MIME_MAP = {
+    ".mp4": "video/mp4",
+    ".mkv": "video/x-matroska",
+    ".mov": "video/quicktime",
+    ".avi": "video/x-msvideo",
+    ".webm": "video/webm",
+    ".m4a": "audio/mp4",
+    ".wav": "audio/wav",
+    ".mp3": "audio/mpeg",
+    ".flac": "audio/flac",
+}
+
+
+@app.get("/file")
+async def serve_local_file(request: Request, path: str = Query(...)):
+    """Stream a local file with HTTP Range support (required for video seeking)."""
+    file_path = Path(path)
+    if not file_path.is_file():
+        raise HTTPException(status_code=404, detail=f"File not found: {path}")
+
+    file_size = file_path.stat().st_size
+    content_type = MIME_MAP.get(file_path.suffix.lower(), "application/octet-stream")
+
+    range_header = request.headers.get("range")
+    if range_header:
+        range_spec = range_header.replace("bytes=", "")
+        range_start_str, range_end_str = range_spec.split("-")
+        range_start = int(range_start_str) if range_start_str else 0
+        range_end = int(range_end_str) if range_end_str else file_size - 1
+        range_end = min(range_end, file_size - 1)
+        content_length = range_end - range_start + 1
+
+        def iter_range():
+            with open(file_path, "rb") as f:
+                f.seek(range_start)
+                remaining = content_length
+                while remaining > 0:
+                    chunk = f.read(min(65536, remaining))
+                    if not chunk:
+                        break
+                    remaining -= len(chunk)
+                    yield chunk
+
+        return StreamingResponse(
+            iter_range(),
+            status_code=206,
+            media_type=content_type,
+            headers={
+                "Content-Range": f"bytes {range_start}-{range_end}/{file_size}",
+                "Accept-Ranges": "bytes",
+                "Content-Length": str(content_length),
+            },
+        )
+
+    def iter_file():
+        with open(file_path, "rb") as f:
+            while chunk := f.read(65536):
+                yield chunk
+
+    return StreamingResponse(
+        iter_file(),
+        media_type=content_type,
+        headers={
+            "Accept-Ranges": "bytes",
+            "Content-Length": str(file_size),
+        },
+    )
+
+
+@app.get("/health")
+async def health():
+    return {"status": "ok"}