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We bring experience from leading tech companies
We analyze podcast audio to extract the Content DNA - topics, keywords, sentiment, narratives, and patterns. Built for researchers, brands, advertisers, and media teams.
How we turn podcast audio into actionable intelligence
We continuously ingest episodes from top podcasts. Source-specific adapters normalize formats, validate freshness, and keep the inputs clean and consistent.
Audio is transcribed and cleaned. Our pipeline standardizes speaker labels, removes artifacts, and prepares text for analysis.
We use AI, ML, and NLP to turn raw podcast audio into structured signals - topics, keywords, sentiment, speaking pace, and ad detection - so teams can compare shows, spot trends, and act faster. Advanced processing is available for Enterprise customers with custom requirements.
Multi-layer analytics roll up results by episode, show, and time to power the Podcast Hub and Podcast Analytics Platform.
We believe in being upfront about what our data can and cannot do
Have questions about our methodology? Reach out to us at hey@strawberrydata.com
Browse episodes for free or reach out for custom solutions.
Browse top shows with AI summaries, full transcripts, and topic breakdowns for every episode.
Compare shows by speaking rate, filler words, sentiment, and ad density. Find the right fit for your brand.
See what an episode breakdown looks like. Full summary, transcript preview, and content analysis.