TL;DL (Too Long; Didn't Listen) is a curated archive of AI-powered podcast summaries. New podcasts and episodes are added regularly. Each episode includes a concise summary and the full transcript. If there's a podcast you'd like to see here, send a request.
All summaries and transcripts are cached for 365 days, so episodes are always available for quick reference.
Each episode is available in three different summary styles depending on the type of content:
Attribution matters. Every episode page prominently displays the podcast name, creator names, and both a “Listen on Apple Podcasts” link and a “Website” link to the official podcast website. My hope is that TL;DL helps expand a podcast's audience by making the content more accessible. Summaries should bring people to a podcast, not replace the experience of listening—most podcasts have transcripts available already, after all.
That said, if you'd prefer to opt out, please reach out at elezea.com/contact and I'll add your podcast to the blocklist.
Subscribe to new episode summaries via the global RSS feed. The feed includes the latest 50 episodes with their summaries.
You can filter the global feed by topic using the tag parameter. For example:
See the home page's “Filter by topic” dropdown for the full list of available tags.
Each podcast also has its own dedicated feed, scoped to that podcast's episodes only. Visit any podcast page and append /feed to the URL:
/podcasts/1088864895/feed — All summarized episodes from a specific podcastThe podcast ID is visible in the URL when you browse to any podcast's page. RSS readers that support autodiscovery will detect the feed automatically.
TL;DL is built entirely on Cloudflare's edge platform:
Transcription powered by OpenAI's gpt-4o-mini-transcribe model. Summarization and tagging by GPT-5.4.
TL;DL was created by Rian van der Merwe.