Flect

Flect is an AI search tool that searches podcast transcripts in natural language and jump to the exact moment. Flect searches inside podcast transcripts using natural language, so you can describe a moment and get a timestamped link to it.

Flect is a podcast search engine built around a simple premise: people remember what was said, not the title of the episode it appeared in. Instead of typing keywords and scrolling through episode descriptions, you describe the moment in plain language, for example a guest explaining how to open a podcast interview or a host reacting to a study about free speech on campus. Flect runs that query against transcripts using OpenAI text embeddings, so it matches on meaning rather than exact wording, then returns precise timestamps with short contextual previews of the surrounding discussion. The tool is aimed at listeners who treat podcasts as a research source: journalists chasing a quote, researchers mapping a topic across many shows, and fans who want to relocate a funny exchange they half remember. The interface keeps traditional filtering alongside the semantic layer, so results can be narrowed by podcast, by video, or by time period, and each result can be assessed from a text snippet before committing to playback. From there, a result can be opened directly on YouTube, shared as a timestamp, saved to favorites, or played at an adjusted speed. Under the hood, Flect describes a search backend built to index millions of podcast clips with daily updates, plus a history layer that tracks past queries and surfaces recommendations from viewing patterns. Its comparison page positions it against YouTube search (which only reads titles and descriptions), Google (which rarely links to a moment inside a video), plain keyword search, and generic AI summaries that flatten context instead of pointing at the source. The tradeoff is scope: it is a finder, not a player or a note-taking workspace, and its value depends on the depth of its indexed library. The homepage shows a set of popular example searches tied to specific shows and a sign-in prompt for unlimited searches, saved history, and premium features. Pricing tiers and plan limits are not published on the homepage.