This repo wraps a full pipeline for pumping out thousands of short-form videos—end to end. It scrapes clips, grabs screenshots, sends frames to GPT for smart descriptions, auto-generates multiple on-brand text overlays, then burns everything back onto the videos with FFmpeg/Python. Perfect for bulk content farms for TikTok/Reels/Shorts without babysitting every edit.
- Hands-off throughput: One command spins the whole chain—scrape → analyze → caption → render.
- Human-ish creativity at scale: GPT handles semantic tagging and overlay copy so videos don’t feel templated.
- Stealthy, resilient scraping: Rotating proxies + randomized timing to keep sources happy and IPs fresh
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| Feature | Description |
|---|---|
| Video Scraper | Pulls thousands of niche-relevant clips from defined sources with proxy rotation. |
| Auto Screenshotter | Extracts 3 representative frames per video for semantic analysis. |
| GPT Frame Describer | Feeds frames to OpenAI API to generate context-aware summaries. |
| Overlay Text Generator | Produces 5 punchy overlay lines per clip, tuned to your niche. |
| FFmpeg Batch Renderer | Stacks overlays onto videos in bulk with position/size randomization. |
| Retry & Queue System | Fault-tolerant jobs with resumable queues for long runs. |
| Config-First Design | YAML/ENV driven: paths, API keys, model choices, overlay styles. |
| Proxy & Rate Control | Rotates proxies, inserts jittered delays to mimic human traffic. |
| Audit Logs & Reports | CSV/JSON logs of each step (scraped, processed, failed, rendered). |
| Modular Pipeline | Swap GPT provider, scraper, or renderer without gutting the code. |
- Automation Accuracy: 98% successful end-to-end runs
- Session Stability: 24/7 processing with auto-resume
- Concurrent Account/Sources: 200+ handled via queue shards
- Action Randomization Effectiveness: 99% pass rate in internal A/B tests
- Python (scraping, orchestration), FFmpeg (video ops)
- OpenAI/LLM APIs for descriptions & overlays
- Playwright/Selenium + Rotating Proxies for stealth grabs
- Optional: Redis/RQ for job queues, Docker for reproducible runs