Audio Fingerprint Extractor
Embed audio to 512-D CLAP vectors for content-based matching, from standalone files or the audio track of a video.
Input
Enter a URL to a audio file
Drag and drop a audio file here, or click to browse
Output
{
"audio_fingerprint_extractor_v1_embedding": "CLAP audio embedding (512-d, L2-normalized). Use cosine similarity for audio matching.",
"segment_index": "Index of this segment in the source audio (0-based)",
"start_time_sec": "Start time of this segment in the source audio (seconds)",
"end_time_sec": "End time of this segment in the source audio (seconds)",
"duration_sec": "Duration of this segment (seconds)",
"total_duration_sec": "Total duration of the source audio (seconds)",
"sample_rate": "Sample rate used for processing",
"audio_source_type": "Source type: 'audio' or 'video'",
"embedding_model": "CLAP model used for embedding",
"processing_time_ms": "Processing time for this segment (milliseconds)"
}Ready to run Audio Fingerprint Extractor on your data? Spin it up in Studio: no infra to host.
Run this in StudioAudio Fingerprint Extractor: common questions
- What is the Audio Fingerprinting (CLAP) extractor used for?
- Sound mark detection, audio similarity search, music/jingle identification, audio deduplication.
- When should I not use Audio Fingerprinting (CLAP)?
- Speech-to-text (use omnilingual_asr), general audio classification (use dedicated classifiers). Reach for it when you need music/sound similarity, audio dedup, and text→audio search.
- How much does the Audio Fingerprinting (CLAP) extractor cost?
- 3 cr/extraction. Credits are billed per unit processed; see mixpeek.com/pricing for the credit rate.
- What file types does Audio Fingerprinting (CLAP) support?
- Audio, Video. It produces embeddings from laion__clap_htsat_tiny.
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