Introducing Parla’s Deep Research Assistant: A Breakthrough in Podcast Discovery
We’re excited to announce the launch of Parla’s Deep Research Assistant — a powerful new way to explore, analyze, and unlock insights from the world’s podcast conversations across both audio and video.
With access to every active podcast on Earth — over 150 million episodes spanning 25 million hours of human dialogue — our assistant is built to make sense of the noise and surface what matters. Whether you're a researcher, strategist, or builder, Parla lets you tap into the full intelligence of the podcast medium with just a single query.
Why We Built It
While text-based search has come a long way, podcasts remain largely opaque to search engines and discovery tools. Valuable insights, expert opinions, and candid interviews are locked away in audio and video files — until now.
We built the Deep Research Assistant to solve that problem.
With each query, the assistant navigates this massive corpus and consumes an average of 9.8 hours of podcast content. It discovers, reflects, and synthesizes meaningful results — not just transcripts, but useful knowledge with precise context and citations.
What It Can Do
The assistant is already helping users accomplish tasks that used to take hours, sometimes days, of manual research. Here’s what it can do:
-
Enrich your research with trusted, nuanced human conversation
-
Surface key clips with inline timestamps and citations you can listen to or watch
-
Build targeted media lists for outreach and competitive analysis
-
Draft compelling pitch emails rooted in actual podcast discussions
-
Generate in-depth reports from audio and video content
-
Prep guests for appearances with highlights from past interviews
-
And more — it’s a flexible interface for navigating longform spoken content at scale
Think of it like a tireless research analyst — listening, synthesizing, and citing everything it finds, all within seconds.
Under the Hood
The Deep Research Assistant is powered by a combination of:
-
LLMs fine-tuned for longform audio understanding
-
Precision audio search across millions of episodes and shows
-
Citation-backed synthesis, so every insight is traceable to a real human voice
We’ve built it with transparency in mind: every insight includes links to the original clip, transcript, and episode. No black boxes, no hallucinations — just verifiable, usable research.
Who It’s For
If your work depends on understanding people, trends, or ideas — this is for you.
-
Researchers exploring niche topics across time and formats
-
Tech and product teams looking for signal in founder interviews or user insights
-
PR pros and marketers building strategic outreach lists
-
Analysts monitoring how brands, issues, or competitors are being discussed
-
Founders looking to tap into podcast-driven growth
Audio and video content is the last great unstructured frontier. We’re making it navigable.
Try It Free
You can start using the assistant right now, for free, at parla.fm/join.
We’re excited to see how researchers, strategists, and builders use this new interface — not just to search, but to understand what’s being said in the most human medium there is.
Final Thoughts
Parla’s Deep Research Assistant is a step toward a smarter internet — one where every conversation is searchable, every insight is citeable, and audio is treated as a first-class knowledge source.
If you’ve ever found yourself thinking, “There must be a podcast that talks about this…” — now there’s a way to find it, hear it, and use it.
Follow along at parla.fm or reach out if you’d like to see how it fits into your workflow.