A transcript is a map of where things were said. Use it as a filter and it works well: search for the ideas you need, collect every timecode that matches, then watch only those spots. That takes six hours of footage down to fifteen candidates in a few minutes. What a transcript cannot do is pick the good one, because it keeps the words and throws away everything that decides whether a clip plays. The pause before the answer, the laugh, the moment a face changes: none of that is in the text. So this is a two-pass job, and the second pass is you watching.
Get a transcript with timecodes in it
The file format decides how much of this is possible at all. SRT and VTT carry a timestamp on every line, so a match in the text is a place in the video. A PDF or a Word document, which is what most transcription vendors hand back unless you ask otherwise, gives you accurate words attached to nothing. People pay per episode for human-corrected transcripts and end up with an archive they can read but can't jump around in, which is a worse position than it sounds, because now the words feel searchable and aren't.
Word-level timing helps more than you'd expect. Line-level timing lands you within a few seconds of the phrase. Word-level lands you on it, which matters when the usable part is one sentence inside a two-minute ramble.
Search the way people talk
This is where most transcript searches quietly fail. Nobody says "our onboarding problem." They say "when someone signs up it's like three days before anything happens." Search the word onboarding across a hundred episodes and you get the times a person used that word, which tend to be the times it mattered least.
A few habits work better. Search the question, not the answer: in an interview the host uses the clean vocabulary, and the good line arrives thirty seconds later. Search proper nouns and numbers, which survive speech intact when abstractions don't. Search hedges, because people flag their own material out loud, and "honestly," "I mean" and "the truth is" sit in front of a lot of usable takes. Once you find one strong clip, search that speaker's own phrasing, since people reuse their favorite constructions across years of recordings.
Keep the results in a plain list: timecode, four words of context, why you flagged it. Finish the whole search pass before you open the editor. Mixing the two turns an afternoon into a week, because every time you open the video you start watching it as a viewer.
The routes, and what each one costs
Reading the transcript end to end is still the most reliable method, and for a single hour it's also the fastest. You come out knowing the material, which pays off on every later pass. It stops scaling somewhere around ten hours.
Ctrl-F inside one document is the default and it's fine until the thing you're looking for might be in any of forty files. At that point people start improvising: site: searches against a public transcript page, grep across a folder, a spreadsheet of episode summaries. These work in the sense that they return something. They don't tell you what they skipped.
Most editing software now ships a transcript panel that searches the clips in your project, which is good and narrow. It searches what you already imported, so it helps with today's edit and does nothing for the archive.
Building your own is the DIY route: transcribe everything, load the output into a text index, keep a script that maps a hit back to a file and a timecode. It works, and it is a small piece of software that somebody now owns and has to fix.
The newer category indexes footage by content and answers questions instead of matching strings, so "the part where she explains why they left" can come back with a timepoint even when none of those words were spoken. Vivu works this way, and for transcript-style hunting the part that matters is what comes back: a timepoint with the context around it, so you land where the thought starts rather than where the string hit. Finding is where it stops, and the choosing is still yours.
When you don't need any of this
If you have under two hours you shot yourself in the last week, you are the index and nothing will beat you. Same if your material is already cut into short pieces with real filenames. The transcript method earns its setup when you can't remember which recording something is in.
Which problem do you actually have
Time the two halves separately for one project. If most of your hours go to locating candidates, better search is worth building. If you find things quickly and then lose the day deciding between six similar takes, no search tool touches that, and you'd get more back from cutting your candidate list in half before you start watching.