Self-hosted Opus Clip alternative — reels.biba.live

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Sebastjan Artič 49a80599e1 Word-level extension: lookback to capture full phrase before clip Bug: Claude picked clip start at 78.19s (0.3s before segment 'tepe' at 78.4s). Word-level extension then found word 'me' (77.88-78.16s) right before clip start, extended to 77.73s. But the FULL phrase was 'Žena me' where 'Žena' [76.88-77.74] precedes 'me' [77.88-78.16] in the same breath/speech burst (gap 0.14s, not a real pause). Fix: when extending back via word-level, do a lookback through earlier words. Stop only when finding a real pause (gap >= 0.5s between words). This captures the entire connected phrase before clip start. Now: clip start 78.19s → finds 'me' at 78.16s → looks back: 'Žena' at 77.74s (gap to 'me' = 0.14s, < 0.5s) → continue. Earlier 'verjet.' at 76.78s (gap to 'Žena' = 0.10s) → also captured if connected... actually 'verjet.' is part of previous verse, but anchor stops at next pause >= 0.5s. For the Žena case, anchor will be at 'Žena' (or earlier if no big pause). This makes the extension MUCH more robust for cases where multiple words of the chorus opening fall in the previous transcript segment.		2026-04-29 16:52:44 +00:00
app	Fix SRT subtitles: word-level clipping for partial segments	2026-04-29 16:48:39 +00:00
scripts	Word-level extension: lookback to capture full phrase before clip	2026-04-29 16:52:44 +00:00
templates	Fix: live preview blocks right-side preview buttons	2026-04-29 15:37:51 +00:00
.env.example	Initial: reels clipper app	2026-04-28 15:28:22 +00:00
.gitignore	Initial: reels clipper app	2026-04-28 15:28:22 +00:00
docker-compose.yml	Initial: reels clipper app	2026-04-28 15:28:22 +00:00
Dockerfile	Add Deno runtime for yt-dlp YouTube nsig challenge solving	2026-04-28 16:05:09 +00:00
README.md	Initial: reels clipper app	2026-04-28 15:28:22 +00:00
requirements.txt	ACRCloud auto-recognition: never block uploads, fall back to fingerprinting	2026-04-29 14:24:53 +00:00

README.md

Reels Clipper · biba.live

Self-hosted Opus Clip alternativa za FOLX TV / PTC. Pretvori 16:9 video v 9:16 reels/shorts/tiktok format z auto face tracking, podnapisi (sl/de/en) in avto-detekcijo refrena v glasbenih pesmih.

Features

📤 Drag & drop upload (do 2 GB)
📺 YouTube URL paste (yt-dlp)
🎯 Smart reframe: track (face follow), center, blur (za glasbo)
🎵 Auto-chorus detection (Whisper + energy hibrid)
📝 Burned-in podnapisi (faster-whisper, multi-jezik)
🎨 3 stili podnapisov: reels, yellow (MrBeast), minimal
🔐 HTTP Basic Auth
📊 Real-time progress (Server-Sent Events)
📦 Docker / Coolify ready

Quick start (lokalno)

docker compose up --build
# odpri http://localhost:8000

Default login: sebastjan / nastavi AUTH_PASS v .env.

Coolify deploy

V Coolify ustvari nov projekt → Docker Compose iz tega repoja
Domena: reels.biba.live

Env vars:

AUTH_USER=sebastjan
AUTH_PASS=<močno geslo>
MAX_UPLOAD_MB=2000

Volume reels_data se ustvari avtomatsko
Deploy → Coolify postavi Traefik reverse proxy + SSL via Let's Encrypt

Pipeline

Upload / YouTube
       ↓
[ yt_download.py ]    ← samo če YouTube
       ↓
[ find_chorus.py ]    ← samo če auto_chorus=true (Whisper + RMS analiza)
       ↓
[ reframe.py ]        ← 16:9 → 9:16 (track / center / blur)
       ↓
[ subtitle.py ]       ← Whisper transkripcija + burn-in
       ↓
   reel.mp4

API

POST /api/upload — multipart file upload, vrne job_id
POST /api/youtube — JSON {url, mode, lang, ...}
POST /api/process — start processing za uploaded job
GET /api/jobs — list vseh
GET /api/jobs/{id} — status
GET /api/stream/{id} — SSE stream progress
GET /api/download/{id} — final reel
DELETE /api/jobs/{id} — pobriši

Dependencies

FFmpeg (system)
faster-whisper (transkripcija)
OpenCV (face detection)
yt-dlp (YouTube)
FastAPI + uvicorn (server)