$20 launch price
YouTube Summarizer
$20one-time
Working Python app + OSS-swap guide + sample data.
Instant download · Lifetime updates · Apple Pay and Google Pay via PayPal
Paid · instant download
YouTube Video Summarizer — URL → summary + key points + timestamps
Paste a YouTube URL, get a structured summary with key points and clickable timestamps. Uses transcript first, falls back to Whisper if no transcript exists.
Commercial path: OpenAI Whisper + Claude. This wrapper ships with the free open-source alternative: yt-dlp + whisper.cpp + Llama 3.1 (fully local).
Stack: Python / FastAPIOSS difficulty: moderateLifetime updates
Try it now
Live demo, in your browser.
Test the wrapper before you download. The free default routes through whisper.cpp on our VPS. Want to test with your own Claude / OpenAI key or your own Ollama URL? Use the "Bring your own model" panel below the demo. The downloaded code lets you swap providers freely.
Live demo coming next week.This wrapper's demo backend (whisper.cpp) ships in Week 3-4 per the public roadmap. The download already includes the working code and sample inputs / outputs.
What's in the ZIP
Code + guide + samples. Everything to ship in 30 minutes.
- →Python FastAPI app
- →Transcript-first path (instant), Whisper fallback
- →Timestamped key-point extraction
- →Swap-in guide: paid APIs → fully local
- →Layman-language guide on the OSS swap (no jargon, no assumed expertise)
- →README with copy-paste setup commands
- →Sample inputs and reference outputs
Why include the OSS path
Because the wrapper is the part you keep.
Most AI starter kits hardcode OpenAI and call it a day. That puts you on a recurring bill for every demo, every test, every customer. The wrapper here ships with the working OpenAI path AND the free open-source path side-by-side. Use the paid API in production if you want the convenience. Switch to yt-dlp for development, testing, or cost-sensitive deployments. Same code, different endpoint.
The guide walks through the swap in layman language — no ML jargon, no assumed familiarity with vector databases or quantization. If you can run npm install or pip install, you can follow it.
Common questions
When do I actually get the code?
Instantly after payment. PayPal / Razorpay confirms, you get an email with a private unlock link, the ZIP downloads in one click.
Do I need to know AI/ML to use this?
No. The wrapper is a working app you can deploy in 30 minutes following the README. The OSS-swap guide is written for developers who know JavaScript or Python but have never touched a model file. No PhD needed.
What does "free open-source model" actually mean here?
yt-dlp + whisper.cpp + Llama 3.1 (fully local)is a model (or set of models) you can run on your own hardware with no API keys, no per-call billing, and no rate limits beyond what your CPU/GPU allows. The guide explains how to install, configure, and swap it into the wrapper's existing code path.
How does this compare to building it myself?
You could absolutely build this yourself. The wrapper saves you 8-20 hours of plumbing — API client setup, prompt engineering, error handling, the OSS swap research, sample data, testing. If your time is worth more than $1/hour, the math works.
Lifetime updates?
Yes. When v1.1 ships with new features or OSS-model paths, the same unlock link serves the latest version.
Refund policy?
Digital product, all sales final. If something genuinely does not land for you, reply to your purchase email and I will add you to the full Skills Library (lifetime access) as a goodwill gesture.
Buying more than one?
All 15 paid wrappers for $99.
Saves $201 vs buying individually. Every future wrapper added at no extra cost.
See the bundle →