Audio transcription
Convert spoken words into text and analyse sentiment, topics, emotions, and compliance signals.
Use cases
Make spoken content searchable across languages
Extract sentiment and emotional analysis
Generate meeting summaries and notes
Speaker analysis
Determine who spoke when in audio recordings, separating speakers for enhanced analysis.
Use cases
Create structured multi-speaker transcripts
Measure talk-time and topic ownership per person
Separate agent vs customer speech in support calls
Media attributes
Extract technical metadata from media files for quality control and intelligent filtering
Use cases
Validate file quality and specs before processing
Filter and organise content by technical characteristics
Identify corrupted or non-compliant media files
Image annotation
Add metadata to images to make visual data understandable to both humans and machines.
Use cases
Training data for object and scene recognition
Search and indexing with rich metadata
Quality control for detecting poor-quality photos
Duplicate detection
Identify and remove bit-for-bit identical files using cryptographic hashing.
Similarity search
Measure semantic similarity across all media based on meaning rather than exact matching.
Shot detection
Identify the most interesting frames and moments within audio and video files.