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.