A.V. Mapping

Imagine compressing a 6-month music licensing cycle into just 8 seconds.

RecommendedA.V. Mapping revolutionizes audio-visual synchronization and music licensing with its AI-driven platform, offering unparalleled speed and direct creator empowerment.

A.V. Mapping is a comprehensive platform that uses AI to instantly sync audio and video, reducing the music licensing cycle from months to seconds. It analyzes emotional metadata of video frames to match them with precise acoustic frequencies, offering tailored music recommendations and direct payment to creators.

Visit A.V. Mapping

Key Features:

AI-powered instant A/V sync and licensing
Emotional metadata analysis for precise music matching
Direct payment to musicians and transparent fee structure
Multiple AI algorithms (Sonnet, Sonata, Mosaic) for varied analysis
Integration with high-end tech ecosystems and curated assets

Pros

Filmmakers and video creators needing fast, emotionally resonant music licensing.
Musicians looking for efficient distribution and direct payment for their work.
Content creators seeking to boost engagement with perfectly matched soundtracks.

Cons

Reliance on AI algorithms for music selection may not always align with nuanced artistic vision.
Specific pricing details for premium features are not immediately clear from the scraped content.
The platform's effectiveness is tied to the quality and breadth of its licensed music library.

Pricing

freemiumFree tier

Starting at:$0/month (General); VIP is $49.99/month

Free tier:Free service with 50MB videos, unlimited video creation/re-runs, music search, and music licensing paid per usage.

Price verified on the live site 2026-07-12 · pricing page

Categories:

Audio & Speech Video & Animation AI Infrastructure

Tags:

music licensing video editing AI sync film scoring sound effects creator economy music distribution

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Quick Decision

Try if: You are a filmmaker or content creator who needs to quickly and efficiently license music that perfectly matches the emotional tone of your video, or a musician looking for a direct and transparent way to monetize your work.

Skip if: You prefer to manually curate music without AI assistance, or your projects do not involve video production or music licensing.

Not for: Users who prefer manual browsing through extensive music libraries without AI assistance.; Individuals or companies not involved in video production or music licensing.

Trust Signals

Founded
2020
Users
24,996+
Team Size
medium

Notable Customers

AcerUniqloNVIDIAAWSBerkeley SkyDeck

Tech Details

Platforms

web

Integrations

Zapier

AI Model
Proprietary AI model for emotional metadata analysis and acoustic fingerprint matching (Sonnet, Sonata, Mosaic algorithms)

Open Source

Support

Channels

contact formDiscord CommunityFacebook Group

Company

Name
A.V. Mapping Co., LTD

A.V. Mapping was conceived in August 2018 and formally established in January 2020. Founded by film composer Frinny Lee, the company aims to solve challenges faced by filmmakers and musicians by leveraging AI for instant audio-visual sync and licensing. The team comprises film score composers, video directors, musicians, business development professionals, marketing experts, and engineers.

FAQ

What is A.V. Mapping and how does it work?

A.V. Mapping is an AI-powered platform that instantly syncs audio and video, streamlining the music licensing process. Users upload video, images, or reference music, and the AI analyzes emotional metadata to recommend licensed music and SFX, compressing a typical 6-month licensing cycle into 8 seconds.

How does A.V. Mapping benefit creators and musicians?

For video creators, it provides tailored music recommendations and instant licensing, saving significant time and effort. For musicians, it offers an efficient way to distribute their music and receive direct payments from video makers, ensuring a transparent fee structure and empowering creators.

What are the different AI algorithms available for analysis?

A.V. Mapping offers three main AI algorithms: Sonnet, which focuses on emotional and textual analysis; Sonata, which emphasizes image analysis and music categorization; and Mosaic, which focuses on reference music similarity analysis.

Use Cases

Filmmakers and video creators needing fast, emotionally resonant music licensing.
Musicians looking for efficient distribution and direct payment for their work.
Content creators seeking to boost engagement with perfectly matched soundtracks.