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Self-hosted Opus Clip alternative — reels.biba.live
44 Commits 1 Branch 0 Tags 3.3 MiB
Python 77.3%
HTML 22.4%
Dockerfile 0.3%
68247bb84c
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Sebastjan Artič 68247bb84c Integrate ElevenLabs Scribe (best multilingual STT 2026) 
ElevenLabs Scribe replaces local Whisper as default transcription:
- 96.7% accuracy English, 2.4% WER Indonesian (vs Whisper 7.7%)
- 18x faster (200s song = 11s vs 3-5 min on CPU)
- No hallucinations on songs (Whisper invented 'Pony und Kleid' for 'Bonnie und Clyde')
- 99 languages supported, including SLO/HR/BS/SR
- $0.40/h pricing, ~$0.022 per 200s song

Implementation:
- transcribe_with_elevenlabs() function uses Scribe v1
- ISO 639-1 ↔ 639-3 mapping (Scribe needs 'deu' not 'de')
- Word-level timestamps converted to pseudo-segments (close on 0.6s pause or 6s duration)
- 24MB upload limit guard with auto-fallback to local

Default whisper_provider='auto':
- If ELEVENLABS_API_KEY set → use Scribe
- Otherwise → fallback to local faster-whisper
- 'elevenlabs' strict mode: no fallback
- 'local' strict mode: skip Scribe entirely

Tested on Ben Zucker - Ohne dich: Scribe correctly transcribed
'Wir sind Bonnie und Clyde, zu allem bereit' where local Whisper hallucinated.
2026-04-29 12:03:40 +00:00
app Integrate ElevenLabs Scribe (best multilingual STT 2026) 2026-04-29 12:03:40 +00:00
scripts Integrate ElevenLabs Scribe (best multilingual STT 2026) 2026-04-29 12:03:40 +00:00
templates Fix preview cutoff + sticky left panel 2026-04-29 10:24:32 +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 Upgrade yt-dlp to nightly for new YouTube nsig algorithm support 2026-04-28 15:48:39 +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

  1. V Coolify ustvari nov projekt → Docker Compose iz tega repoja
  2. Domena: reels.biba.live
  3. Env vars: 
    AUTH_USER=sebastjan
AUTH_PASS=<močno geslo>
MAX_UPLOAD_MB=2000
  4. Volume reels_data se ustvari avtomatsko
  5. 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)