Feature Extractors
After your data is connected, extractors run in parallel to pull out structured features — embeddings, entities, transcripts, and more.
96 extractors available
Facial Recognition
Detect and identify faces in images with high accuracy
Object Detection
Identify and locate objects within images with bounding boxes
Video Embedding
Generate vector embeddings for video content
Emotion Detection
Detect emotions in audio content
XceptionNet Deepfake Detector
Detects manipulated facial regions using a CNN trained on the FaceForensics++ dataset.
Web Scraper
Extract structured data from webpages while maintaining semantic context and relationships
Product Detection
Identify commercial products in retail and e-commerce images
Omnilingual ASR
High-quality automatic speech recognition for 1600+ languages using Meta's multilingual ASR system
Activity Grouping
Detect, categorize, and group activities in video content
Clinical Voice Events
Extract typed clinical events from voice sessions with multi-stage features, taxonomies, and evidence linking
Seamless Expressive Translation
Translate speech across languages while preserving emotional tone, pauses, and vocal style
PII Redactor
Detect and redact personally identifiable information from text, transcripts, and OCR output