Gunjo · Business Intelligence for the AI Era
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Original Soundtrack Copyright Separation Transaction and AI Dubbing & Distribution Revenue-Sharing Platform for Film and Television Going Global

1) The platform facilitates separated authorization of original soundtracks and localized derivative copyrights, chargin

MODEL

Key Fields

FIELD STAMPS
IndustryContent / Creator Economy
RegionChina
ScaleMid-size
ChannelOnline

📌 Background

In 2026, Chinese film, television, and short dramas going global have entered deep waters, with the overseas market scale for AI dramas and comic dramas expected to exceed $4 billion. Traditional whole-buyout or single-revenue-sharing models place heavy financial pressure on overseas buyers and limit copyright holders' revenues. The split transaction of original soundtrack copyright and multilingual localization derivative rights has become a new mechanism. Combined with AI voiceover and lip-sync technology, copyright holders can sell a single drama multiple times and license it by region and language. Platforms such as the Hainan International Intellectual Property Exchange Center have already launched short drama copyright licensing trading platforms to promote standardized revenue sharing.

👤 Target Customers

Domestic film and television copyright holders, short drama production companies, overseas localized distributors, and streaming platforms

💰 Revenue Streams

1) The platform facilitates separated authorization of original soundtracks and localized derivative copyrights, charging transaction commissions based on licensed languages and regions; 2) Ancillary AI multilingual voiceover and lip-sync services are billed per episode minute; 3) Additional overseas distribution revenue-sharing for hit content.

🧮 Cost Structure

Computing power costs for speech recognition, large translation models, and voice cloning inference; maintenance costs for copyright authentication and fingerprint technology systems; expenditures on overseas distribution channels and legal compliance teams.

🛡️ Moat

Copyright authentication technology and VDNA-style fingerprint tracking capabilities build an asset-based moat, while cross-lingual AI dubbing production capacity and revenue-sharing settlement systems create a two-sided network effect.

🔑 Keys to Success

  • Establish a trustworthy copyright authentication, fingerprint tracking, and cross-border revenue-sharing clearing and settlement system
  • Accumulate multilingual AI dubbing production capacity and a stable network of overseas distribution signatories

⚠️ Risks

  • Voice cloning and the definition of original voice ownership trigger copyright infringement lawsuits
  • Loss of trust among copyright holders due to opaque revenue-sharing chains
  • Tightening of overseas content review and cultural compliance policies

🏢 Cases

  • Vobile Group launched the SeeBay platform, integrating AI content creation, copyright authentication, and global asset monetization
  • Hainan International Intellectual Property Exchange Center launched a short drama copyright licensing trading platform to support standardized revenue sharing

📊 SWOT Analysis

Strengths

  • Copyright split transactions enhance the circulation efficiency of IP assets, allowing copyright holders to monetize a single asset multiple times
  • AI localization reduces per-episode costs to extremely low levels and supports synchronous production in dozens of languages

Weaknesses

  • Separated authorization contracts are complex, and cross-jurisdictional authentication and dispute resolution costs are high
  • High dependency on upstream hit content supply leads to unstable platform bargaining power

Opportunities

  • Rapid expansion of the overseas scale of short dramas and comic dramas in 2026, with strong demand from overseas buyers for lightweight licensing
  • Platforms like TikTok's overseas versions feature built-in multilingual localization and revenue-sharing tools, compelling third parties to provide professional copyright separation services

Threats

  • AI dubbing involves disputes over the ownership of original voice timbres, with regulations and case law remaining unclear
  • Leading platforms may bypass third-party trading platforms after building their own localization pipelines