MediaLayer Enterprise
Enterprise Media Search Platform
Index large image, video, and audio libraries, then search one asset against millions to detect duplicate, reused, modified, or related media at scale.
Start with Match API — Try Match API on RapidAPI →
The problem
Duplicate and reused media are hard to detect at scale
Platforms with millions of media files cannot manually detect duplicates, reused creatives, or copyright-risk content. Pixel hashes miss near-duplicates. Manual review does not scale.
- Duplicate uploads across accounts and surfaces
- Reused ad creatives across campaigns and buyers
- Copied product images and listings on marketplaces
- Copyright and content reuse risk in user-generated content
- Manual review queues that don't scale with volume
The solution
One-to-many media matching for large-scale platforms
MediaLayer Enterprise fingerprints your media library and returns the closest matches for any query asset — designed for workflows where the public two-URL API would require millions of comparisons.
- One-to-many image, video, and audio matching
- Bulk media ingestion via URL, CSV, or ZIP
- Similarity indexing across millions of assets
- Top-K match retrieval with confidence scoring
- Batch and real-time query workflows
- Sub-second search latency at scale
Key capabilities
Built for enterprise media matching engines
One-to-many matching
Match a single media asset against millions of indexed records.
Multi-modal similarity
Image similarity, video similarity, and audio fingerprinting workflows behind one platform.
Search across millions
Scalable architecture designed for low-latency lookup across large media collections.
Bulk ingestion pipelines
Index large batches of images, videos, and audio files via streaming or bulk APIs.
Match confidence & ranking
Return similarity scores, confidence labels, and ranked top-K matches with metadata.
Private deployment options
Hosted, VPC, or private deployment available for enterprise compliance and sovereignty needs.
The Search Platform
The Search Platform interface
Index your media library, run similarity searches, manage API keys, and monitor usage — all from one dashboard.
At-a-glance overview of indexed assets, search activity, and quota health across all your projects.
3
Media types
Image · Audio · Video
<1s*
Target latency
designed for sub-second search
10M+*
Enterprise scale
assets, available for enterprise
4
Ingest modes
URL · Upload · CSV · ZIP
* Search latency targets indexed queries under normal load; actual performance varies by library size, media type, and plan. 10M+ asset capacity available on Enterprise — published plans support up to 500K images, 1,000 hrs audio, or 500 hrs video.
How it works
From ingestion to ranked matches
- 1
Ingest media assets
Stream or bulk-upload your reference catalog by URL.
- 2
Extract fingerprints
Per-medium fingerprint extraction — image hashes, frame fingerprints, or spectral peaks depending on media type.
- 3
Build searchable fingerprint index
Fingerprints are stored in an optimized index that keeps lookups fast across large media libraries.
- 4
Query with new media
Submit a single image, video, or audio file and request top-K matches.
- 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
}
]
}
]
}1-to-N Search Engine
How MediaLayer finds matches
Every query runs through a four-stage pipeline — fingerprinting, signal decomposition, distributed index scan, and confidence scoring.
Perceptual Fingerprint
Extracting visual signature from pixel matrix
Perceptual Fingerprint
32 Signal Vectors
Distributed Signature Index
Visual Matches
See It In Action
Segment-Level Video Matching
Detect duplicate and near-duplicate moments across your video library using fingerprint-based matching.
campaign-master-v3.mp4
broadcast-upload-final.mp4
Match Timeline
{
"match_found": true,
"similarity_score": 0.94,
"matched_segments": [
{
"source_start": "00:14", "source_end": "00:29", "target_start": "00:09", "target_end": "00:24", "confidence": 0.96 },
{
"source_start": "01:10", "source_end": "01:34", "target_start": "00:58", "target_end": "01:22", "confidence": 0.91 }
],
"processing_time_ms": 428
}Use cases
Where MediaLayer Enterprise fits
Ad-tech creative audit
Find reused or duplicated ad creatives across campaigns, advertisers, and media libraries.
Marketplace spam detection
Detect copied product photos and duplicate listings at scale across seller accounts.
OTT & UGC platforms
Identify duplicate uploads, reused clips, and content reuse across large video libraries.
Copyright & reuse detection
Detect copied audio, video, or image content before publishing or monetization.
Media deduplication
Clean large media datasets by identifying duplicate and near-duplicate assets.
Public API vs Enterprise
Two surfaces for two stages of adoption
The public API is built for developer exploration and small workloads. Enterprise is built for production-scale matching against indexed catalogs.
| Capability | Public API | Enterprise |
|---|---|---|
| Matching type | Two-URL comparison | One-to-many database search |
| Dataset size | Per-request, no library needed | Millions of indexed assets |
| Query mode | Single request | Real-time + batch |
| Deployment | RapidAPI / hosted API | Hosted, VPC, or private deployment |
| Pricing | Fixed plans | Custom pricing |
| Best for | 1-to-1 comparison workflows | 1-to-N production-scale search |
Public API
Public API access is distributed exclusively through RapidAPI. Subscribe to a plan, copy your x-rapidapi-key, and call the two-URL endpoints.
Enterprise direct API
Enterprise direct API access — private endpoints, custom keys, custom rate limits, and VPC or private deployment — is available only after onboarding. Talk to MediaLayer AI Labs to get started.
Enterprise pricing
Custom pricing for large-scale media workflows
Enterprise pricing depends on dataset size, query volume, latency requirements, ingestion needs, and deployment model.
Talk to us
Ready to search millions of media records?
Tell us about your dataset, query volume, and deployment preferences. We'll come back with a tailored architecture and pricing plan.