Drop a link, get a briefing. Key takeaways extracted and categorized. Sections labeled. Speakers identified. Find the 3 minutes that matter in a 90-minute episode.
No templates. No prompt engineering. Drop a link and Dossier does the rest.
Find any podcast through built-in search, or paste a direct link. Tech deep-dives, business interviews, narrative journalism, lectures.
Dossier transcribes the audio, identifies distinct sections, extracts key takeaways, and maps speakers and concepts automatically.
Browse labeled sections with timestamps, jump to what matters, and reference specific takeaways with the original audio one click away.
Podcasts are rich with ideas but impossible to reference. Dossier gives every episode a structure you can navigate, search, and cite.
Summaries flatten. Dossier preserves the episode's structure with labeled sections, so you can navigate to the argument, the technique, or the narrative that matters to you.
Speakers, tools, and concepts are automatically resolved to Wikipedia and Google Knowledge Graph. Click any name to learn more. Know who's talking and what they're referencing.
Every section is timestamped. Click to hear the original context. No more scrubbing through an hour of audio to find the 30 seconds you need.
From NPR investigations to tech deep-dives, Dossier adapts its analysis to the content.
Full-quality output on every tier. No feature gating, no watermarks.
50 podcast briefings per month -- more than most listeners need.
I spent 8+ years in EdTech building search and recommender systems for a research platform used by 95% of the world's libraries. I've seen firsthand how much harder it is to find, verify, and cite information when it lives in audio instead of text.
Podcasts are where some of the best thinking happens now. But you can't search a conversation, you can't skim an interview, and you definitely can't cite "that thing someone said around minute 40." I built Dossier because I kept losing great ideas to the linear nature of audio.
I care about combating misinformation and making information more accessible. Dossier is how I'm doing that for spoken-word content -- showing you who said what, linking to external knowledge, and always keeping the source one click away.
A fast output that misrepresents the source is worse than no output. Every takeaway traces back to who said it and when. The original audio is always one click away.
We connect speakers and concepts to external knowledge -- Wikipedia, academic databases, public records. We show you the context and let you decide what to trust.
Summaries flatten nuance. Dossier preserves the episode's natural structure and lets you navigate it on your terms. We add organization, not opinion.
Launching for Babson students May 2026. Be first in line.
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