Pre-Publication IP Safety for Video & Image Content

Name: Mixpeek for IP Safety
Brand: Mixpeek
Availability: InStock

Catch copyright, trademark, and likeness issues before they ship. One pipeline scans faces, logos, and audio across every frame.

Three Detection Layers, One Pipeline

Faces, logos, and audio: checked simultaneously before any content leaves your pipeline.

The Mixpeek Difference

Traditional reverse image search only matches exact photos. Mixpeek uses facial recognition embeddings that match faces across angles, lighting, and partial occlusion. Reference corpus can include any set of protected individuals: celebrities, athletes, executives, or minors.

95%+ Match Accuracy

200ms Per Frame

Multi-Angle Detection

Face Detection Pipeline

Scene Splitting

Face Extraction

Embedding Match

Risk Scoring

Face & Likeness Detection

Identify celebrity faces, public figures, and protected individuals in every frame of your video and image content, before it reaches the public.

Key Benefits

Match faces across angles, lighting conditions, and partial occlusion
Build custom reference corpora from any set of protected individuals
Confidence scores let you set thresholds per risk category

The Mixpeek Difference

Standard object detection misses logos that are rotated, partially hidden, or stylistically modified. Mixpeek combines YOLO-based detection with perceptual hashing and embedding similarity to catch trademark appearances that rule-based systems miss entirely.

Sub-Frame Detection

Custom Model Support

Background Scanning

Logo Detection Pipeline

Frame Extraction

Object Detection

Similarity Match

Trademark Alert

Logo & Trademark Recognition

Detect unauthorized brand logos and trademarks across frames, backgrounds, clothing, and product placements, including partially obscured or modified marks.

Key Benefits

Detect logos even when partially obscured, rotated, or modified
Custom YOLO models deployable via ZIP upload for specialized marks
Scan entire video libraries in batch via bucket processing

The Mixpeek Difference

Content ID and similar systems require participation agreements with rights holders. Mixpeek lets you build your own reference audio corpus and check content against it with full control over thresholds and matching logic.

Audio Fingerprint

Real-Time Matching

Multi-Track Analysis

Audio Detection Pipeline

Audio Extraction

Fingerprint Generation

Corpus Match

License Check

Audio Fingerprinting

Identify copyrighted music, sound effects, and audio signatures embedded in video content, including background music, remixes, and short samples.

Key Benefits

Build custom audio reference corpora: no rights holder agreements needed
Detect background music, remixes, and short audio samples
Combined with visual detection in a single pipeline execution

See It in Action

Watch how Mixpeek detects celebrity faces, brand logos, and copyrighted audio in a single pipeline

Resources

Get started with IP safety: demo, tutorials, and use case guides

Live Demo

Try the IP safety scanner: upload an image or video and see face, logo, and audio detection in action.

Open demo

How the Pipeline Is Built

The namespace, collections, extractors and retrievers behind IP and copyright clearance.

Celebrity Likeness Detection

Pre-clear content for celebrity face matches using ArcFace 512d embeddings with 99.8% accuracy.

Brand Logo Detection in Video

Scan video assets for unauthorized brand logos across 3,000+ brands using SigLIP and YOLO.

Automated Rights Clearance

Replace manual IP clearance workflows with API-driven automation: CI/CD integration, webhooks, and audit trails.

Audio Copyright Detection

Detect copyrighted music, sound trademarks, and audio signatures embedded in video content.

Mixpeek vs. VISUA

Compare pre-publication IP clearance with post-publication monitoring: see why catching issues before they ship matters.

Best Copyright Detection Tools

We tested 8 copyright detection tools: see how Mixpeek compares to TinEye, Pixsy, Red Points, and more.

Pre-Publication vs. Post-Enforcement

Every major competitor focuses on finding infringement after it's live. Mixpeek catches it before it ships.

Mixpeek

Traditional Tools

When issues are caught

Before publication: in the production pipeline

After publication: via web crawling and takedown notices

Detection scope

Faces, logos, and audio in a single API call

Single modality per vendor (image OR audio OR text)

Reference corpus

You control it: upload any faces, logos, audio

Vendor-controlled database, limited to their partnerships

Custom models

Deploy custom extractors via ZIP upload (YOLO, pHash, etc.)

Fixed detection models, no customization

Learning over time

Interaction feedback tunes retriever fusion weights automatically

Static rules, manual threshold updates

Batch processing

Ingest entire libraries via bucket → collection → batch pipeline

File-by-file API calls or manual upload

Frequently Asked Questions

Common questions about IP safety and pre-publication content clearance

How does pre-publication IP clearance differ from post-publication enforcement?

Post-publication tools like Pixsy and Red Points scan the open web for existing infringement and issue takedowns after content is live. Mixpeek operates before publication, scanning your content against reference databases of protected faces, logos, and audio during the production workflow. This prevents violations from ever reaching the public, avoiding takedowns, legal costs, and brand damage entirely.

What types of intellectual property can Mixpeek detect?

Mixpeek detects three categories: (1) Face and likeness: celebrity faces, public figures, and any registered individuals using facial recognition against your reference corpus. (2) Logos and trademarks: brand marks, wordmarks, and visual trademarks using object detection models. (3) Audio: copyrighted music, sound effects, and audio signatures using audio fingerprinting. Custom extractors can extend detection to any visual or audio pattern.

Can I train the system on my own reference databases?

Yes. Upload reference images of protected faces, brand logos, or any visual assets to a Mixpeek bucket. Create a collection with the appropriate feature extractors (facial recognition, object detection, video embedding). The system builds a searchable corpus from your reference material. New content is then checked against this corpus via a retriever pipeline.

How does the system improve over time?

Every interaction with search results (clicks, positive/negative feedback, skips, long views) is captured as behavioral signals in ClickHouse. Analytics endpoints expose confidence distributions, signal patterns, and tuning recommendations. The retriever's learned fusion weights adjust based on accumulated interaction data, improving precision with every query.

What's the latency for a single IP check?

A typical check against a single image takes 200-500ms including face detection, logo detection, and similarity search. Video files are processed per-scene after scene splitting; a 30-second clip with 5 scenes takes 2-4 seconds. Batch processing via Mixpeek's bucket ingest pipeline handles thousands of assets concurrently.

Can I deploy custom detection models?

Yes. Mixpeek's custom plugin architecture lets you deploy any model as a feature extractor via ZIP upload. Common additions include YOLO for specialized object detection, perceptual hashing (pHash) for near-duplicate detection, and domain-specific classifiers. Custom extractors run alongside built-in models in the same pipeline.

Is there a live demo available?

Yes. A fully functional demo is available at copyright.mixpeek.com. It demonstrates face detection, logo recognition, and audio fingerprinting against a pre-loaded reference corpus. No account required.

How does this integrate with existing content workflows?

Mixpeek provides a REST API that fits into any CI/CD or content pipeline. Upload assets to a bucket, trigger processing via collection, and query results via retrievers. Webhooks notify your systems when processing completes. The API supports both synchronous single-file checks and asynchronous batch processing for large libraries.

What about false positives?

Confidence scores are returned for every detection. You configure thresholds per detection type, for example 95% for face matches and 85% for logo detection. Results below threshold are flagged for human review rather than auto-blocked. The interaction feedback system continuously refines these thresholds based on reviewer decisions.

What's the pricing model for IP safety use cases?

Pricing is based on total assets processed per month. Volume pricing is available for high-throughput workflows. The platform supports both pay-as-you-go API usage and dedicated infrastructure for enterprise customers processing millions of assets monthly. Contact us for a custom quote.

Ready to shift IP clearance left?

See how Mixpeek catches copyright issues before publication: not after takedown notices

Questions about Mixpeek for ip safety

How does pre-publication IP clearance differ from post-publication enforcement?

What types of intellectual property can Mixpeek detect?

Can I train the system on my own reference databases?

How does the system improve over time?

What's the latency for a single IP check?

Can I deploy custom detection models?

Is there a live demo available?

How does this integrate with existing content workflows?

What about false positives?

What's the pricing model for IP safety use cases?

Build this in the docs

The extractors and retrieval stages this solution runs on, with API reference and worked examples.

Reverse search tutorialFind re-uploads of an image that has been cropped or recoloured.Audio fingerprint extractorMatch a track inside a longer recording.

Run this on your own intellectual property & content compliance content

Segment a video corpus, extract a keyframe record for every segment, and match brand marks against a reference set you upload. Face and public-figure matching run on a dedicated or customer-hosted deployment. This deploy is the extraction layer a moderation policy sits on, and the page carries a state on every part so you can see which policy pieces are yours to add. One click deploys the whole namespace into Studio; point it at the bucket you already have.

Deploy Video Moderation Extraction Foundation in one click Schedule a demo

See what the Video Moderation Extraction Foundation template deploys