Feature Extractors
Configurable ETL pipelines that extract data from multimodal content. Paired with retrievers to create multimodal search pipelines.
Learn more in docsActivity Grouping
Detect, categorize, and group activities in video content
Concept Extraction
Extract key concepts, definitions, and relationships from educational content across video, slides, and code
Face Grouping
Detect, track, and group faces across video frames
Facial Recognition
Detect and identify faces in images with high accuracy
Late Interaction Ranker
Ranks a list of documents against a query using late interaction models (e.g., ColBERT). Produces relevance scores.
Location Extractor
High-precision place recognition, landmark detection, and geographic inference for images and video
Medical Device Extraction
Extract structured data from medical device regulatory documents including IFUs, recalls, MAUDE reports, and 510(k) summaries
Object Detection
Identify and locate objects within images with bounding boxes
Object Grouping
Segment and group objects across video frames
Omnilingual ASR
High-quality automatic speech recognition for 1600+ languages using Meta's multilingual ASR system
PII Redactor
Detect and redact personally identifiable information from text, transcripts, and OCR output
Product Detection
Identify commercial products in retail and e-commerce images
What are Mixpeek Feature Extractors?
Mixpeek feature extractors are configurable ETL pipelines that extract structured data from multimodal content. They are the building blocks for creating powerful multimodal search and analysis applications.
Configurable Pipelines
Easily configure extractors to process various data types and output structured data tailored to your needs.
Optimized for Performance
Built for efficiency, our feature extractors quickly process large volumes of multimodal data.
Intelligent Extraction
Leverage advanced AI models to extract meaningful features and insights from your content.