ACRCloud: Audio Content Recognition Platform for Enterprises

ACRCloud: Audio Content Recognition Platform for Enterprises 277

An enterprise-grade audio content recognition platform that identifies content through audio fingerprinting and metadata. It offers song recognition, humming detection, copyright monitoring, broadcast tracking, and UGC authentication — ideal for short video, UGC, music streaming, smart devices, and automotive applications.

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ACRCloud: Audio Content Recognition Platform for EnterprisesIntroduction

ACRCloud is an audio recognition platform that provides services to enterprises. It uses audio fingerprints and metadata to look up content, and it can perform music recognition, humming recognition, copyright and content monitoring, UGC authentication, and more. It works with music companies and distributors such as Universal, Sony, Warner, and Merlin to build a very large copyright fingerprint database, which is used to identify original tracks and cover versions. It can also be integrated into websites and mobile apps through APIs and SDKs. It is commonly used in short videos, UGC, music streaming, smart hardware, and automotive scenarios.

Song Recognition - ACRCloud - Goldi Interactive - Audio Fingerprint Service Platform

ACRCloud Main Features

  • Music recognition: Use a microphone or upload a file to quickly look up song information. It can identify different inputs such as original tracks, cover versions, live recordings, and humming.

  • Audio fingerprint database: Officially said to contain over 150 million songs, making it one of the largest databases in the world, with new songs continuously being added.

  • Third-party ID integration: It can directly provide playback or purchase links on platforms such as Spotify, Deezer, YouTube, and Apple Music, as well as ISRC and UPC codes.

  • Broadcast and UGC monitoring: Watch in real time what music is used on radio, TV, short videos, and live streams, and generate playlists with timestamps, locations, and channels for copyright checking and royalty calculation.

  • Batch file scanning: Local files can be uploaded, or URLs from YouTube, TikTok, and Instagram can be used to recognize multiple pieces of music within a long video or an entire program at once. A callback address can also be set up to automatically receive results.

  • Derivative work detection: It can identify heavily modified versions such as speed-changed, pitch-shifted, or remixed tracks, helping distributors and platforms discover infringement or secondary creations.

  • Speech transcription: While recognizing music, it can also transcribe spoken portions into text, making review and subtitling easier.

ACRCloud Technology and Data

  • In the 2016 MIREX (International Music Information Retrieval Evaluation eXchange), ACRCloud placed first in both the audio fingerprinting and humming recognition tasks.

  • The one-to-one recognition accuracy can reach over 99%. Humming recognition accuracy is around 95% under good conditions, with results typically returned in 2–6 seconds.

  • ACRCloud partners with global streaming services, record labels, distributors, and copyright associations, storing fingerprints for over 72 million songs and being able to authenticate more than 100 million copyrighted songs, mainly for UGC and live streaming use.

  • ACRCloud uses a cloud architecture with servers deployed globally, allowing it to scale based on usage and maintain fast response and stability under heavy commercial use.

ACRCloud Access and Integration

Developers are provided with REST APIs and SDKs in various languages, making it easy to add recognition features to apps, websites, and servers, and to obtain standard information and copyright data.

For automotive and hardware scenarios, SDKs and APIs are also supported, allowing integration with voice assistants to enable real-time recognition on car systems, display radio information, and use humming to select songs.

ACRCloud has served music applications including Deezer, KKBOX, and AWA, phone brands such as Huawei, OPPO, and Vivo, as well as short video, UGC, and live streaming platforms for content recognition and copyright management.

Differences Between ACRCloud and Shazam and How to Choose

ACRCloud focuses on B2B business and copyright and content operations, such as UGC authentication, live stream or broadcast monitoring, automotive and IoT, and more. Shazam is more for general consumers to identify songs and find content.

ACRCloud places emphasis on copyright attribution, playtime statistics, cover recognition, global deployment, and handling high traffic. Shazam focuses on fast recognition, music recommendation, and playback.

If you need copyright compliance, content monitoring, UGC operations, or automotive or hardware integration, consider ACRCloud first. If the main need is instant song recognition for general consumers, use Shazam. You can also use both together.

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