Tigris × Mixpeek: Semantic Layer for Your Media Storage

Tigris now integrates natively with Mixpeek, giving developers a full semantic layer for video, image, and audio files stored in S3-compatible buckets.

Forget manual tagging. Skip the ML team.
With just a few lines of code, your entire media library becomes instantly searchable by meaning.

Resources

What's a Semantic Layer?

You store raw files. But you need to understand what's in them — who's speaking, what's on screen, what the vibe is.

Mixpeek turns your unstructured media into structured, queryable insights:
transcripts, scene descriptions, logo detection, audio tone, visual embeddings — all extracted and indexed automatically.

It sits on top of your Tigris object storage like a brain:

Use Cases: Built for Media & AdTech

Media & Entertainment

Smart Archives
Search entire media libraries using natural language.
"Show me all scenes with mountains and orchestral music."
Instantly find relevant content without manual tagging or complex queries.

Audience Intelligence
Correlate visual/audio elements with engagement.
"Gen Z prefers pastel tones and lo-fi audio in short-form."
Make data-driven content decisions based on what actually resonates with viewers.

Copyright & Brand Compliance
Detect reused logos, intros, music clips.
"Flagged a remix that included our brand jingle and lower-third graphic."
Protect intellectual property and maintain brand consistency at scale.

AdTech

Creative Intelligence
Understand why top creatives convert.
"High-CTR ads had slow zooms, bright lighting, and female voiceover."
Optimize ad creative based on proven performance factors.

Contextual Targeting
Place ads in scenes that visually match brand tone.
"Targeted SUV ads to outdoor adventure footage, not just automotive tags."
Increase ad relevance and engagement through precise placement.

Brand Safety
Automatically block risky content before ad placement.
"Detected violent imagery in a UGC video before we served a family-friendly ad."
Protect brand reputation and ensure safe ad environments.

How It Works

Upload your media files to a Tigris object bucket (S3-compatible)
Point Mixpeek at the bucket — it starts ingesting instantly
Every video, image, and audio file is run through extractors:
- 🎞 Scene segmentation
- 🧠 Visual concept detection
- 🗣️ Audio transcription + tone analysis
- 🏷 Logo + object recognition
Mixpeek builds a semantic index with embeddings + metadata
You query it via a simple API using natural language

Code Example

from mixpeek import Mixpeek

client = Mixpeek("your-api-key")

client.collections.create(
  bucket_url="https://your-tigris-bucket",
  extractors=[
    "video-captioning",
    "image-labeling",
    "audio-transcription",
    "logo-detection"
  ]
)

Read about Feature Extractors

Any time you upload new content to Tigris, Mixpeek automatically processes and indexes it in real time.

Why Developers Love It

⚡ Built for S3-compatible object stores (no migration needed)
🧠 No ML infra or training required
📦 Embeddings, metadata, and labels — out of the box
🔍 Unified query layer for all media content
🧰 SDKs for Python, JS, and REST

"It's like adding a search engine and a computer vision team to your media pipeline — instantly."

📈 Before vs After

Challenge	Before	With Mixpeek
Finding the right clip	Manual tags or filenames	Natural language scene search
Ad placement	Contextual guesswork	Scene-level visual/audio matching
IP monitoring	Manual review	Automatic brand/music/logo detection
Content analytics	View counts only	Semantic breakdown of what performs

Let's Build

This integration is for devs building:

Intelligent media platforms
UGC moderation tools
Smart video CMS
Contextual ad engines
Content search portals

Got a use case? Need help wiring it up?

→ Talk to a Mixpeek Engineer
→ Or email [email protected]

Tigris stores the data.
Mixpeek gives it meaning.
This is what infrastructure for AI-native media looks like.