AlphaMoatによると、2026-09時点でChrome拡張機能VidArchitectのユーザー数は67(前月比 -8.2%)、評価は5(4件のレビュー)で、9,324件のAIブラウザ拡張機能中4,902位、プログラミングでは601件中303位です。
Transform YouTube videos into architect-ready projects using AI. Summary from package: Transform YouTube video tutorials into executable code prompts, n8n workflows, and engineering blueprints in seconds. Extract code from videos easily.
Long Description:
🛑 Stop Watching. Start Building.
Are you tired of scrubbing through 2-hour technical YouTube video tutorials just to find one line of code? VidArchitect is not just another YouTube video summarizer. It is the ultimate developer tool to extract code from videos, generate n8n workflows, and create AI prompts instantly.
While others give you text bloat, we give you an Engineering Blueprint.
🚀 CORE FEATURES:
🧠 Smart Video Analysis (Intent-Aware) The "Receptionist Engine" detects if you are watching a coding tutorial, a recipe, or a lecture, and adapts the output structure automatically. Perfect for summarizing YouTube tutorials into actionable steps.
🏗️ The 4-Pillar Blueprint (Code Extractor) Transform video chaos into a structured Markdown report covering:
⚡ n8n & Automation Workflow Generator Watching an automation tutorial? VidArchitect extracts a "Workflow Manifest" describing every node, trigger, and logic path—ready for you to import directly into n8n or Make.com.
🎨 The Refine Studio (V5.3 - AI Prompt Builder) Don't like the initial prompt? Act like a Staff Engineer. Use the built-in Studio to "Refine" the output with strict constraints (e.g., "Make it SOLID compliant", "Use TypeScript").
💎 Premium Developer Experience Enjoy a stunning Glassmorphism UI that feels native to your modern workflow. No clutter, just fast YouTube transcription and coding insights.
✅ Perfect For:
🔒 Privacy First: We do not collect personal data. Your transcripts are processed in-memory and discarded. Built for builders, by builders.
Instant Data Scraper extracts data from web pages and exports it as Excel or CSV files
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+ 比較データ月:2026-09 · ユーザー数と評価はChromeウェブストアの公開データを月単位で集計したものです。詳しくはデータの方法論をご覧ください。