ACRCloud
ACRCloud has an llms.txt. Do you?
ACRCloud is your go-to solution for music recognition and broadcast monitoring. With its robust API and SDK, it empowers users to identify music through various sources and even monitor live streams, making it a versatile tool for media professionals.
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1 sections -94%
1 file
ACRCloud's llms.txt Insights
Short and sweet
1 section. Minimalist, but hey — at least they showed up.
Goldilocks zone
79 lines — not too long, not too short. AI loves this.
What's inside ACRCloud's llms.txt
ACRCloud's llms.txt contains 2 sections:
- ACRCloud
- ACRCloud
How does ACRCloud's llms.txt compare?
| ACRCloud | Directory Avg | Top Performer | |
|---|---|---|---|
| Lines | 79 | 1029 | 163,447 |
| Sections | 1 | 17 | 3207 |
Cool table. Now the real question — where do you land? Find out →
ACRCloud's llms.txt preview
First 79 of 79 lines
# ACRCloud
## ACRCloud
- [Introduction](/master.md): View reference documentation to learn about the resources available in the ACRCloud API/SDK.
- [Console Tutorials](/tutorials.md): Find a tutorial fits your scenario and get started to test the service.
- [Recognize Music](/tutorials/recognize-music.md): Identify music via line-in audio source or microphone with ACRCloud Music database.
- [Recognize Custom Content](/tutorials/recognize-custom-content.md): Identify your custom content via media files or microphone with internet connections.
- [Broadcast Monitoring for Music](/tutorials/broadcast-monitoring-for-music.md): Monitor live streams, radio or TV stations with ACRCloud Music database.
- [Broadcast Monitoring for Custom Content](/tutorials/broadcast-monitoring-for-custom-content.md): Monitor live streams, radio or TV stations with your custom database.
- [Detect Live & Timeshift TV Channels](/tutorials/detect-live-and-timeshift-tv-channels.md): Detect which live channels or timeshifting content the audiences are watching on the app/device.
- [Recognize Custom Content Offline](/tutorials/recognize-custom-content-offline.md): Identify your custom content on the mobile apps without internet connections
- [Recognize Live Channels and Custom Content](/tutorials/recognize-tv-channels-and-custom-content.md): Identify both custom files you uploaded and live channels you ingested.
- [Find Potential Detections in Unknown Content Filter](/tutorials/find-potential-detections-in-unknown-content-filter.md): 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](/sdk-reference/mobile-sdk.md)
- [iOS](/sdk-reference/mobile-sdk/ios.md)
- [Android](/sdk-reference/mobile-sdk/android.md)
- [Unity](/sdk-reference/mobile-sdk/unity.md)
- [Backend SDK](/sdk-reference/backend-sdk.md)
- [Python](/sdk-reference/backend-sdk/python.md)
- [PHP](/sdk-reference/backend-sdk/php.md)
- [Go](/sdk-reference/backend-sdk/go.md): Go SDK installation and usage
- [Java](/sdk-reference/backend-sdk/java.md)
- [C/C++](/sdk-reference/backend-sdk/c-c++.md)
- [C#](/sdk-reference/backend-sdk/c_sharp.md)
- [Error Codes](/sdk-reference/error-codes.md)
- [Identification API](/reference/identification-api.md)
- [Reference](/reference/identification-api/identification-api.md)
- [Metadata](/reference/identification-api/metadata.md)
- [Music](/reference/identification-api/metadata/music.md): An example of music metadata for Audio & Video Recognition project
- [Custom Files](/reference/identification-api/metadata/custom-files.md): An example of custom-defined metadata for Audio & Video Recognition, Broadcast Monitoring, Hybrid Recognition and Offline Recognition projects.
- [Live Channels](/reference/identification-api/metadata/live-channels.md): An example of live channels detection metadata for Live Channel Detection and Hybrid Recognition projects
- [Humming](/reference/identification-api/metadata/humming.md): An example of humming metadata for Audio & Video Recognition project
- [Music/Speech Detection](/reference/identification-api/metadata/music-speech-detection.md): An example of music/speech detection metadata for FS project.
- [Console API](/reference/console-api.md)
- [Access Token](/reference/console-api/accesstoken.md)
- [Buckets](/reference/console-api/buckets.md)
- [Audio Files](/reference/console-api/buckets/audio-files.md)
- [Live Channels](/reference/console-api/buckets/live-channels.md)
- [Dedup Files](/reference/console-api/buckets/dedup-files.md)
- [Base Projects](/reference/console-api/base-projects.md)
- [OfflineDBs](/reference/console-api/offlinedbs.md)
- [BM Projects](/reference/console-api/bm-projects.md)
- [Custom Streams Projects](/reference/console-api/bm-projects/custom-streams-projects.md)
- [Streams](/reference/console-api/bm-projects/custom-streams-projects/streams.md)
- [Streams Results](/reference/console-api/bm-projects/custom-streams-projects/streams-results.md)
- [Streams State](/reference/console-api/bm-projects/custom-streams-projects/streams-status.md)
- [Recordings](/reference/console-api/bm-projects/custom-streams-projects/recordings.md): Please make sure that your channels have enabled Timemap before getting the recording.
- [Analytics](/reference/console-api/bm-projects/custom-streams-projects/analytics.md): This api is only applicable to projects bound to ACRCloud Music
- [User Reports](/reference/console-api/bm-projects/custom-streams-projects/user-reports.md)
- [Broadcast Database Projects](/reference/console-api/bm-projects/broadcast-database-projects.md)
- [Channels](/reference/console-api/bm-projects/broadcast-database-projects/channels.md)
- [Channels Results](/reference/console-api/bm-projects/broadcast-database-projects/channels-results.md)
- [Channels State](/reference/console-api/bm-projects/broadcast-database-projects/channels-state.md)
- [Recordings](/reference/console-api/bm-projects/broadcast-database-projects/recordings.md): Please make sure that your channels have enabled Timemap before getting the recording.
- [Analytics](/reference/console-api/bm-projects/broadcast-database-projects/analytics.md): This api is only applicable to projects bound to ACRCloud Music
- [User Reports](/reference/console-api/bm-projects/broadcast-database-projects/user-reports.md)
- [METADATA](/reference/console-api/bm-projects/metadata.md)
- [Music (Broadcast Monitoring with Broadcast Database)](/reference/console-api/bm-projects/metadata/music-broadcast-monitoring-with-broadcast-database.md): Example of JSON result with ACRCloud Music bucket in Broadcast Database of Broadcast Monitoring service.
- [Custom Files](/reference/console-api/bm-projects/metadata/custom-files.md): An example of custom-defined metadata for Audio & Video Recognition, Broadcast Monitoring, Hybrid Recognition and Offline Recognition projects.
- [File Scanning](/reference/console-api/file-scanning.md)
- [FsFiles](/reference/console-api/file-scanning/file-scanning.md)
- [Metadata](/reference/console-api/file-scanning/metadata.md)
- [Music](/reference/console-api/file-scanning/metadata/music.md): An example of music metadata for Audio & Video Recognition project
- [Custom Files](/reference/console-api/file-scanning/metadata/custom-files.md): An example of custom-defined metadata for Audio & Video Recognition, Broadcast Monitoring, Hybrid Recognition and Offline Recognition projects.
- [Cover Songs](/reference/console-api/file-scanning/metadata/cover-songs.md): An example cover songs metadata for FS project.
- [AI Music Detection](/reference/console-api/file-scanning/metadata/ai-music-detection.md): An example of ai detection metadata for FS project.
- [Music/Speech Detection](/reference/console-api/file-scanning/metadata/music-speech-detection.md): An example of music/speech detection metadata for FS project.
- [UCF Projects](/reference/console-api/ucf-projects.md)
- [BM Streams](/reference/console-api/ucf-projects/bm-streams.md)
- [UCF Results](/reference/console-api/ucf-projects/ucf-results.md)
- [Metadata API](/reference/metadata-api.md)
- [Audio File Fingerprinting Tool](/tools/fingerprinting-tool.md)
- [Local Monitoring Tool](/tools/local-monitoring-tool.md)
- [Live Channel Fingerprinting Tool](/tools/live-channel-fingerprinting-tool.md)
- [File Scan Tool](/tools/file-scan-tool.md)
- [Definition of Terms](/faq/definition-of-terms.md)
- [Service Usage](/service-usage.md)
What is llms.txt?
llms.txt is an open standard that helps AI language models understand your website. By placing a structured markdown file at /llms.txt, websites provide AI search engines like ChatGPT, Claude, and Perplexity with a clear map of their content, services, and documentation. Companies like ACRCloud use it to ensure AI accurately represents their brand when answering user queries. Read the spec.
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