Enterprise Media Similarity Search at Scale

Enterprise solution

One-to-many media matching for large-scale platforms

MediaLayer Enterprise compares one input image, video, or audio file against a large indexed media database and returns the closest matches with similarity scores and confidence levels — designed for one-to-many media matching workflows where the public two-URL API would require millions of comparisons.

• One-to-many image, video, and audio matching
• Bulk media ingestion
• Similarity indexing
• Top-K match retrieval
• Confidence scoring
• Batch and real-time workflows

1. 1

   Ingest media assets

   Stream or bulk-upload your reference catalog by URL.

2. 2

   Extract fingerprints / embeddings

   Per-medium feature extraction (image hashes, frame fingerprints, spectral peaks).

3. 3

   Build searchable similarity index

   An ANN-style index keeps lookups sub-linear over millions of assets.

4. 4

   Query with new media

   Submit a single image, video, or audio file and request top-K matches.

5. 5

   Return ranked matches and metadata

   Each match comes with similarity score, confidence label, and aligned segments.

{
  "query_media": "uploaded_or_url_media",
  "matches": [
    {
      "media_id": "asset_123",
      "media_type": "video",
      "similarity_score": 0.94,
      "confidence": "high",
      "matched_segments": [
        {
          "source_start": 12.4,
          "source_end": 28.9,
          "match_start": 4.1,
          "match_end": 20.6
        }
      ]
    }
  ]
}