Audio Classification as a Service
Roll your own research or audit transcript projects
Leverage YAMNet's 521 audio classes for any non-human sound classification project. Our pay-as-you-go model makes it affordable to classify wildlife recordings, industrial machinery, environmental monitoring, and acoustic research at scale.
Scalable Audio Classification
Access enterprise-grade ML classification at consumer prices. Perfect for researchers, auditors, and environmental professionals.
Upload Audio Data
Submit recordings from any source: wildlife monitoring stations, industrial sensors, field research, or environmental surveys.
YAMNet Processing
Our ML engine classifies audio across 521 categories including animals, machines, natural sounds, and human activities.
Structured Results
Receive timestamped classifications with confidence scores, event durations, and decibel levels.
Analysis & Export
Download comprehensive Excel workbooks with all analysis data. JSON exports available via API for custom analysis workflows.
Research-Grade Classification
521 audio classes cover wildlife, industrial, environmental sounds
Pay-as-you-go pricing makes large-scale projects affordable
No infrastructure needed - upload and get results
Faster than realtime processing
Consistent, repeatable classifications eliminate human bias
Audit trail and confidence scores for academic rigor
Research Applications
Wildlife Biodiversity Monitoring
Process weeks of wildlife recordings to identify species presence, activity patterns, and population changes over time.
Industrial Equipment Diagnostics
Monitor machinery sounds to detect anomalies, predict failures, and verify equipment performance at scale.
Environmental Impact Studies
Document baseline acoustic environments before development projects. Measure impact of human activity on natural soundscapes.
Urban Acoustic Research
Study city soundscapes, traffic patterns, and human activity through large-scale audio analysis.