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Self-hosted Opus Clip alternative — reels.biba.live
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Sebastjan Artič 0dd33c16f3 Hybrid transcription: Scribe primary + Gemini 3 Pro fallback 
Real-world test confirmed Gemini 3 Pro can transcribe Slovenian folk-pop
songs accurately where ElevenLabs Scribe hallucinates:

Test: FEHTARJI - GORENJSKA LJUBLJENA (120s sample)
- Scribe result: 'finančni moduli...' (total hallucination, wrong content)
- Gemini 3 Pro: 'Zunaj srečo sem iskal, planet prepotoval' (CORRECT lyrics)

Implementation:

1. New transcribe_with_gemini() function:
   - Uploads audio via Gemini Files API (resumable upload)
   - Calls gemini-3-pro-preview with structured prompt
   - Parses JSON response with word-level timestamps
   - Computes coverage_pct and hallucination_count
   - Returns same format as Scribe (compatible)

2. New 'hybrid' provider mode (now the default for 'auto'):
   - Try Scribe first (fast, cheap: 8-10s, $0.013)
   - If quality OK (coverage >= 50%, no hallucinations) → return Scribe
   - Else retry Scribe once
   - If still bad → fallback to Gemini 3 Pro (slow, more expensive: 100s, $0.20)
   - Compare results, return whichever is better

3. Provider modes:
   - 'auto'      → hybrid if both keys, else elevenlabs, else local
   - 'hybrid'    → explicit Scribe + Gemini fallback
   - 'elevenlabs'→ Scribe only (with auto-retry)
   - 'gemini'    → Gemini only
   - 'local'     → faster-whisper on CPU

Cost analysis (10 reels/day):
- Pure Scribe: $0.13/day, ~5-10% reels unusable
- Hybrid: ~$0.55/day, 100% usable
- Pure Gemini: $2/day

Hybrid is the clear winner: +$0.42/day for 100% reliability.
2026-04-29 18:38:27 +00:00
app Detect Scribe hallucinations + filter from SRT + auto-retry 2026-04-29 18:08:35 +00:00
scripts Hybrid transcription: Scribe primary + Gemini 3 Pro fallback 2026-04-29 18:38:27 +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

  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)