AI Podcast Video Clipper & Scheduler

Inspiration: One-hour video podcasts contain tons of quotable snippets perfect for short-form platforms.

Target Customers: Video podcasters, content creators, marketing teams.

Pain Points:

• Time-Consuming Highlight Search: Re-listening for clips is boring.
• Editing & Re-formatting: Need vertical versions, titles, captions for TikTok, Shorts, IG.
• Publishing Management: Scheduling dozens of clips is chaotic.

Solution (Micro-SaaS): An end-to-end engine to repurpose long podcasts.

MVP Core Features:

• Long Video Upload.
• AI Smart Clipping:
  • Transcription & Topic Detection.
  • “Golden Quote” Detector.
  • Silence-Based Split.
• Magic Editing Workspace: Recommend 20-30 clips; quick preview & fine-tune.
• Auto Reframe & Branding: Convert to vertical, track speaker, add titles/logos/captions.
• Social Scheduler: Drag clips onto calendar; auto publish.

Development Investment (Technical Implementation): Medium-High—AI clipping + multi-platform APIs.

• LLM API Calls:
  • Transcription: Whisper / AssemblyAI.
  • Content Analysis: GPT-4 / Claude 3.
• Tech Stack:
  • FFmpeg for editing.
  • OpenCV for face tracking.
  • Social media APIs.

Traffic Acquisition & Validation Strategy (SEO Enhanced):

• Step 1: Market Validation
  • "Put Your Content Everywhere" Landing Page: "Turn One Hour of Podcast into 20 Viral Clips. Automatically."
  • Free service for YouTube podcasters.
• Step 2: SEO-Driven Growth
  • Keyword Strategy: "video podcast clipper", "AI video repurposing tool", etc.
  • Growth Flywheel: Blog → free trial → subscription for more videos/accounts.

Potential Competitors & Analysis:

• Key Competitors: Opus Clip, Descript.
• Competitors' Strengths:
  • Brand Awareness.
• Competitors' Weaknesses:
  • Fragmented Workflow: Editing vs. publishing.
• Our Opportunity:
  • End-to-End Workflow: Clip → edit confirm → schedule.
  • Higher-Quality AI Suggestions.
  • Creator-Economy Integrations.