B
Sports Broadcast Clip Subtitle Factory
2.90
Derivation Chain
Step 1
Overseas football broadcast viewing trend
→
Step 2
Demand for sports highlight short-form content
→
Step 3
Multilingual subtitle and clip editing infrastructure
Problem
Sports YouTubers and SNS creators repurpose overseas football (Bundesliga, La Liga, Premier League) highlight clips into short-form content with Korean subtitles. From a 90-minute match, selecting key scenes → clipping → subtitle translation and sync → thumbnail creation takes an average of 2-3 hours per video. Creators covering 3-4 matches per week spend over 10 hours weekly on editing alone, reducing content volume and timeliness.
Solution
A web tool where users input a match broadcast URL or file, and AI automatically detects goals and key scenes, splits them into short-form clips, converts and translates live commentary audio into Korean subtitles, and inserts them directly into the editing timeline. Includes automatic thumbnail generation and auto-cropping for platform-specific aspect ratios (YouTube Shorts/TikTok/Instagram Reels).
NUMR-V Scores
NUMR-V Scoring System
| N Novelty | 1-5 | How uncommon the service is in market context. |
| U Urgency | 1-5 | How urgently users need this problem solved now. |
| M Market | 1-5 | Market size and growth potential from proxy indicators. |
| R Realizability | 1-5 | Buildability for a small team with realistic constraints. |
| V Validation | 1-5 | Validation signal quality from competition and demand data. |
N=.15 U=.20 M=.15 R=.30 V=.20
Feasibility (74%)
Data Availability
24.4/25
Feasibility Breakdown
| Tech Complexity | / 40 | Difficulty of core implementation stack. |
| Data Availability | / 25 | Practical availability and cost of required data. |
| MVP Timeline | / 20 | Expected time to ship a usable MVP. |
| API Bonus | / 15 | Bonus for viable public API leverage. |
Market Validation (56/100)
Validation Breakdown
| Competition | / 20 | Signal quality from competitor landscape. |
| Market Demand | / 20 | Demand proxies from search and mention patterns. |
| Timing | / 20 | Fit with current shifts in tech, behavior, and regulation. |
| Revenue Signals | / 15 | Reference evidence for monetization viability. |
| Pick-Axe Fit | / 15 | How well the concept serves participants in a trend. |
| Solo Buildability | / 10 | Practicality for lean-team implementation. |
Technical Requirements
Backend [medium]
Frontend [medium]
AI/ML [low]