Turn Long Tech Videos Into Reusable Engineering Assets

Script Snap extracts chapters, blog drafts, spec sheets, thread ideas, and searchable notes from technical tutorials, demos, and walkthroughs. Built for technical creators — not generic transcripts.

Next.js

Deepgram Nova-3

GPT-5.2

worker-node-01 — script-snap-core

Powering workflows for next-gen creators

Terminal

System

Compute

Global

Network

Stop Publishing Raw Transcripts.
Start Shipping Engineering Assets.

Generic AI tools often guess technical terms. Script Snap checks technical language, preserves structure, and turns walkthroughs into reusable outputs — not just a wall of text.

Real Script Snap OutputReal before/after from one Claude Code tutorial.

Blog · Chapters · Threads · Code Snippets · Corrections

Creating content is hard.
Repurposing it shouldn't be torture.

The Transcript Trap

A transcript is raw material, not a content asset. Without structure, it's useless for blogs, docs, or social posts.

The Jargon Problem

Generic AI can turn technical terms like 'PyTorch' into nonsense. In a technical community, that breaks trust instantly.

The Repurposing Burnout

You know the video should become docs, posts, and clips — but doing it manually after a 3-hour recording session is brutal.

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((SOTA ASR Models)):::ai GPT((SOTA Reasoning Models)):::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

Limited Slots

Creator Plan

$19/mo

Cancel anytime. No lock-in.

Technical video transcription
Jargon-aware correction
Chapters & timestamps
Blog / MDX export
Spec sheets & searchable notes

Stop letting technical videos die after publish.

Turn every tutorial, demo, and walkthrough into reusable engineering assets.