ACRCloud
Audio recognition service provider for music recognition, copyright compliance, broadcast monitoring, music metadata and second screen solutions.
ACRCloud
ACRCloud
- Introduction: View reference documentation to learn about the resources available in the ACRCloud API/SDK.
- Console Tutorials: Find a tutorial fits your scenario and get started to test the service.
- Recognize Music: Identify music via line-in audio source or microphone with ACRCloud Music database.
- Recognize Custom Content: Identify your custom content via media files or microphone with internet connections.
- Broadcast Monitoring for Music: Monitor live streams, radio or TV stations with ACRCloud Music database.
- Broadcast Monitoring for Custom Content: Monitor live streams, radio or TV stations with your custom database.
- Detect Live & Timeshift TV Channels: Detect which live channels or timeshifting content the audiences are watching on the app/device.
- Recognize Custom Content Offline: Identify your custom content on the mobile apps without internet connections
- Recognize Live Channels and Custom Content: Identify both custom files you uploaded and live channels you ingested.
- Find Potential Detections in Unknown Content Filter: Unknown Content Filter (UCF) is a feature that helps customers to find potential detections in repeated content but not detected in audio recognition.
- Mobile SDK
- iOS
- Android
- Unity
- Backend SDK
- Python
- PHP
- Go: Go SDK installation and usage
- Java
- C/C++
- C#
- Error Codes
- Identification API
- Reference
- Metadata
- Music: An example of music metadata for Audio & Video Recognition project
- Custom Files: An example of custom-defined metadata for Audio & Video Recognition, Broadcast Monitoring, Hybrid Recognition and Offline Recognition projects.
- Live Channels: An example of live channels detection metadata for Live Channel Detection and Hybrid Recognition projects
- Humming: An example of humming metadata for Audio & Video Recognition project
- Music/Speech Detection: An example of music/speech detection metadata for FS project.
- Console API
- Access Token
- Buckets
- Audio Files
- Live Channels
- Dedup Files
- Base Projects
- OfflineDBs
- BM Projects
- Custom Streams Projects
- Streams
- Streams Results
- Streams State
- Recordings: Please make sure that your channels have enabled Timemap before getting the recording.
- Analytics: This api is only applicable to projects bound to ACRCloud Music
- User Reports
- Broadcast Database Projects
- Channels
- Channels Results
- Channels State
- Recordings: Please make sure that your channels have enabled Timemap before getting the recording.
- Analytics: This api is only applicable to projects bound to ACRCloud Music
- User Reports
- Historical Results Projects
- Channels Results
- METADATA
- Music (Broadcast Monitoring with Broadcast Database): Example of JSON result with ACRCloud Music bucket in Broadcast Database of Broadcast Monitoring service.
- Custom Files: An example of custom-defined metadata for Audio & Video Recognition, Broadcast Monitoring, Hybrid Recognition and Offline Recognition projects.
- File Scanning
- FsFiles
- Metadata
- Music: An example of music metadata for Audio & Video Recognition project
- Custom Files: An example of custom-defined metadata for Audio & Video Recognition, Broadcast Monitoring, Hybrid Recognition and Offline Recognition projects.
- Cover Songs: An example cover songs metadata for FS project.
- AI Music Detection: An example of ai detection metadata for FS project.
- Music/Speech Detection: An example of music/speech detection metadata for FS project.
- UCF Projects
- BM Streams
- UCF Results
- Metadata API
- Audio File Fingerprinting Tool
- Local Monitoring Tool
- Live Channel Fingerprinting Tool
- File Scan Tool
- Definition of Terms
- Service Usage
- AI Music Detection: This FAQ explains how ACRCloud's AI Music Detection feature works for audio content, including prediction thresholds, output interpretation, supported source categories, and performance notes.
Agent Instructions: Querying This Documentation
If you need additional information, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on a page URL with the ask query parameter:
GET https://docs.acrcloud.com/readme.md?ask=<question>
The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.
Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
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