Content strategy that moves the needle should never waste the big swings. Today is content creation from the other direction: taking one long video and harvesting a week of short clips. You already made the hard thing. Now you will learn to cut it into many small things. Most people make a long video and let it die after one view. We mine it.

Step one. Turn the talking into text. We run the video's audio through Whisper, a free speech-to-text model, which hands back every spoken line with a timestamp. Now your hour of footage is a searchable script. You cannot cut what you cannot read, and once it is text, finding the good moments is a matter of skimming, not scrubbing.

Step two. Feed that timestamped script to the model and ask it to find the self-contained moments: the lines that make sense with no setup. It returns a list of start and end times for the strongest thirty-second chunks. You are not guessing where the gold is anymore. The model read the whole thing and marked the parts that stand on their own.

Step three. Hand those timestamps to a tool that does the cutting. We pass them to FFmpeg, the free command-line video tool, which slices the exact clips without re-encoding the whole file. One command per clip, driven by the model's list. You get a folder of shorts in minutes, each one a clean piece of the long video, no timeline scrubbing required.

Step four. Now give each clip a caption built from its own transcript, in the shape of the platform it is headed to. We let the model write the hook line straight from the words in that clip, so the caption never lies about what the video says. Same source, many shapes, all honest, because every word came from the original mouth.

The honest proof: our short clips are cut from our own long-form, the same pipeline we just walked. We recorded the deep version once and let the machine mine the week out of it. We did not script seven separate shorts. We made one real thing and refused to let it be seen only once.

So the takeaway: respect your big swings by mining them. Transcribe with Whisper, let the model mark the standalone moments, cut by timestamp with FFmpeg, and caption each clip from its own words. Your next step: watch a long-form and its harvested clips side by side at office dot temerarii dot xyz, then go mine a video you already made.