Flect helps you find specific moments in podcasts using their text transcripts. Instead of scrubbing through long episodes, you type a query in plain English and jump directly to the relevant part of the conversation.
Semantic search across podcasts
Flect is designed for how people actually remember audio: by topic, phrasing, and context. It analyzes transcripts to surface the segments that match the meaning of your request, not just exact keyword overlaps.
- Natural-language search across podcast transcripts
- Finds relevant topics, mentions, and quotable lines
- Jumps from search results to the exact audio moment
Listening and transcript workflow
Once you’ve found the right episode or snippet, you can play it immediately without manual searching. Flect also supports deeper text search, filtering, and playback speed controls, making podcasts easier to use as a structured research source.
- Deep transcript search and filters
- Instant playback from matched fragments
- Adjustable listening speed
Who it’s for
Flect is useful for anyone who relies on podcasts for information, including researchers, journalists, students, marketers, and content creators who need to quickly locate evidence, ideas, or examples.
