Feature Extractors

Detect and identify faces in images with high accuracy

Identify and locate objects within images with bounding boxes

Generate vector embeddings for video content

Detect emotions in audio content

Detects manipulated facial regions using a CNN trained on the FaceForensics++ dataset.

Extract structured data from webpages while maintaining semantic context and relationships

Identify commercial products in retail and e-commerce images

High-quality automatic speech recognition for 1600+ languages using Meta's multilingual ASR system

Detect, categorize, and group activities in video content

Extract typed clinical events from voice sessions with multi-stage features, taxonomies, and evidence linking

Translate speech across languages while preserving emotional tone, pauses, and vocal style

Detect and redact personally identifiable information from text, transcripts, and OCR output