minute.ly

AI, video, and the tools worth automating

Writing about AI and video, without the hype

Machine learning genuinely changed how video gets packaged, found and measured — and a great deal of what gets claimed about it does not survive contact with anyone's analytics. We write about the difference.

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What we cover

AI & Technology

How machine learning is actually applied to video — content analysis, frame and preview selection, personalisation — and where each approach stops working.

Video Strategy

How teams plan, package and measure video: what moves views and watch time, and what only looks like it does.

Tools & Workflow

Practical guides to the tools around video and audio — transcription, generation, editing — and which tasks are worth handing to a machine.

Transcription services for video creators

Text is the cheapest leverage you have over video. A transcript makes a recording quotable, searchable and repurposable — and it is the same asset that makes the page findable in the first place.

Pull the text out of a video

Paste a link and you get timestamped, searchable text in seconds. The fastest route for a single asset is to transcribe YouTube videos straight from the watch URL, or use the YouTube transcript generator when you want the caption tracks alongside it. Our step-by-step walkthrough covers the accuracy caveats worth knowing before you quote anything.

Short-form is the harder case

Fast speech over a music bed, and half the words burned into the frame rather than spoken. TikTok transcription handles the audio, and there is a bulk TikTok mode when you are auditing a niche rather than one clip. We wrote up what works and what a transcript will always miss.

When there is no caption track

Link-based extraction reads existing captions, so a video without them returns nothing. Upload the file instead to convert video to text directly — MP4, MOV, MKV and the common audio formats are all accepted. The same text then does double duty for captions and accessibility.

AI video services for video creators

The generative tools earn their place on the mechanical work — the per-frame transformation repeated thousands of times that nobody would attempt by hand. They are considerably worse at deciding what is worth making.

Face swap across moving frames

A single still is easy; a moving sequence is not, because every frame has to agree with the one before it. Video face swap does per-frame identity mapping on clips up to 60 seconds, so the face tracks through motion instead of being pasted at a fixed position. We broke down why frame consistency is the whole problem.

Animated GIFs, timing intact

Most pipelines decode a GIF, process it and re-encode with the frame delays normalised — which quietly destroys the comic timing that made it work. GIF face swap applies the swap across every frame while preserving the original delays and loop settings, so it still plays the way it was cut.

Generation and clean-up

Beyond swapping, there is AI video generation across eleven models, plus the utilities that actually get daily use — image upscaling and background removal for stills pulled from footage. Worth reading where these tools help and where they don't before building a workflow around them.

Both are products in our network, and we run affiliate programs for them — the terms are published in full rather than pitched.

How we write

SpecificClaims that can't be checked aren't worth publishing
BoundedEvery technique has a limit, and we say where it is
OursWe don't cite results we didn't produce

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