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A.V. Mapping

A.V. Mapping

AI-powered platform for finding music in videos, images, and text.

AI music search engineVideo productionCopyright free music
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Introduction

A.V. Mapping is an AI-powered platform that helps users find the perfect music for videos, images, and text in just three simple steps.

Key Features

AI-powered music search engine

Find copyright free music and sound effects

Match music to videos and images

Text to music and sound effects

Frequently Asked Questions

What is A.V. Mapping?

A.V. Mapping is an AI-powered platform that helps users find the perfect music for videos, images, and text in just three simple steps.

How to use A.V. Mapping?

To use A.V. Mapping, users need to upload their video or images, choose their music recommendations, and pay for the music rights. It is a quick and easy process that saves creators time compared to traditional methods.

How does A.V. Mapping find the perfect music?

A.V. Mapping uses AI algorithms to analyze the uploaded videos, images, and text to understand the content and find the most suitable music recommendations.

Can I use the music from A.V. Mapping for commercial purposes?

Yes, A.V. Mapping provides copyright free music and sound effects that can be used for commercial purposes.

What formats does A.V. Mapping support for video and image uploads?

A.V. Mapping supports the .mp4 format for video uploads and various image formats such as JPEG and PNG.

Is A.V. Mapping available in multiple languages?

Yes, A.V. Mapping is available in multiple languages, including English and Traditional Chinese.

Is there a free trial available?

Yes, A.V. Mapping offers a 14-day free trial for users to try out the platform and explore its features.

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Use Cases

  • Film production
  • Video content creation
  • Social media marketing
  • Documentary filmmaking

How to Use

To use A.V. Mapping, users need to upload their video or images, choose their music recommendations, and pay for the music rights. It is a quick and easy process that saves creators time compared to traditional methods.