전자책·오디오북 멀티포맷 변환 도구
오디오 편집·배포 자동화 도구 (Descript, Auphonic 카테고리)
저자가 AI TTS 결과물을 Audacity로 챕터별 수동 후처리하는 병목
While generating audiobook source with AI TTS has become easy, post-processing tasks such as chapter segmentation, silence removal, loudness normalization, metadata tagging, and platform-specific formatting still require manual work. Using general-purpose tools like Audacity takes 20–30 minutes per chapter.
Upload audio file → automatic chapter detection and segmentation + automatic silence/noise removal + loudness normalization + automatic platform-specific (Millie, Wella, Audible) format conversion and metadata tagging + one-click distribution.
| 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. |
| 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. |
| 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. |