The complete audio intelligence feature set
Leverage our AI-powered Summarization models to automatically summarize audio/video data in your products at scale. Customize the summary types to best fit your use case.
Detect sensitive content in your audio and video files - such as hate speech, violence, sensitive social issues, alcohol, drugs, and more.
With Sentiment Analysis, AssemblyAI can detect the sentiment of each sentence of speech spoken in your audio files.
Identify a wide range of entities that are spoken in your audio files, such as person and company names, email addresses, dates, and locations.
Identify and remove Personally Identifiable Information, such as phone numbers and social security numbers, from the transcription text before it is returned to you.
Topic detection (IAB classification)
Label the topics that are spoken in your audio and video files. The predicted topic labels follow the standardized IAB Taxonomy, which makes them suitable for contextual targeting.
Automatically generate a summary over time for audio and video files.
Accurately identify significant words and phrases in your transcription, enabling you to extract the most pertinent concepts or highlights from your audio/video file.
Weekly product and accuracy improvements
- Pricing decreases
- Significant Summarization model speedups
- Introducing LeMUR, the easiest way to build LLM apps on spoken data