Stop letting your code reviews die in the YouTube algorithm.
The only video-to-text engine engineered for Tech Creators. We turn raw footage into accurate Docs, Threads, and Articles—with 99% accuracy on terms like 'CUDA', 'LLM', and 'Vercel'.
Optimized for modern tech stacks:
Next.jsPythonDeepgram
processor.py — Script Snap
1import deepgram
2
3async def transcribe_video(url):
4 # 99.9% accuracy on tech terms
5 ctx = await nova3.analyze(url, keywords=[
6 "Kubernetes", "useEffect", "Inngest"
7 ])
8 return ctx.generate_thread()
● Processing Complete
Powering workflows for next-gen creators
Terminal
System
Compute
Global
Network
Creating content is hard.
Repurposing it shouldn't be torture.
The Algorithm Trap
You spend 20 hours editing a review, it spikes for 2 days, then flatlines.
The 'Whisper' Hallucinations
Generic AI tools turn 'PyTorch' into 'Pie Torch'. Fixing typos takes longer than writing.
The Repurposing Burnout
You know you should write a blog post for SEO, but you're too exhausted.
The Hybrid Cloud Engine
Orchestrated by Inngest. Powered by Railway. Edge-cached on Vercel.
%%{init: {'theme': 'dark', 'themeVariables': { 'fontSize': '14px', 'fontFamily': 'JetBrains Mono, monospace', 'darkMode': true }}}%%
graph TD
classDef user fill:#000,color:#fff,stroke:#fff,stroke-width:2px;
classDef vercel fill:#000,color:#fff,stroke:#fff,stroke-width:1px,stroke-dasharray: 5 5;
classDef railway fill:#0b0e14,color:#fff,stroke:#a855f7,stroke-width:2px;
classDef inngest fill:#0e1c26,color:#fff,stroke:#17d3d6,stroke-width:2px;
classDef ai fill:#1e293b,color:#60a5fa,stroke:#3b82f6,stroke-width:1px;
User(YouTuber):::user
subgraph "Frontend (Vercel Edge)"
UI[Next.js App]:::vercel
end
subgraph "Event Bus (Inngest)"
Queue[Async Queue]:::inngest
end
subgraph "Compute Node (Railway)"
Worker[Python Worker]:::railway
FFmpeg[Audio Extract]:::railway
Dict[Tech Dictionary]:::railway
end
subgraph "Intelligence"
Nova((Deepgram Nova-3)):::ai
GPT((GPT-4o)):::ai
end
User --> UI
UI -- "1 Submit Job" --> Queue
Queue -- "2 Wake Worker" --> Worker
Worker -- "3 Extract" --> FFmpeg
FFmpeg --> Nova
Nova -- "4 Raw Text" --> Dict
Dict -- "5 Corrected Text" --> GPT
GPT -- "6 Final Docs" --> UI