Get the best out of TailorClip — by video type and feature.
Practical guides for editing vlogs, product demos and mixed-language video with AI: turn one upload into a week of posts, caption code-switched speech correctly, edit video by editing the transcript, and more.
Most AI video tools charge you the same price to process footage they have already analysed. Here is why that is wrong, what actually gets re-used, and the exact rule that decides whether your file qualifies — including why one changed frame means full price.
One tool charges a cent a minute, another charges a dollar. They are not the same product. Here is what drives the cost of AI video editing, how per-minute and per-clip pricing differ, and how to work out which one is cheaper for the way you actually shoot.
Code-switched video breaks most auto-caption tools: they pick one language for the whole file and invent words for the rest. Here is the rule for captioning bilingual speech, the manual workaround people use today, and how to do it in one pass.
Romanized captions write your language in Latin letters — and for Hinglish, Nepali and most bilingual social video they beat both native script and translation. Here is how to choose, and what each one costs you.
The practical workflow for getting post-ready shorts out of a long recording: what to upload, how to direct the cut in plain language, what to fix, and why a "virality score" is the wrong thing to optimise for.
The habits that take an AI edit from good to exactly-what-you-would-have-made: upload the full recording, direct it in plain language, fix wording in the transcript, and set your guardrails once.
A 20-minute vlog holds far more than one video. Here is how to get a long-form cut plus several genuinely different shorts from a single upload, and what to check before you post each one.
Most AI editors cut for length and quietly drop the steps that make a demo useful. Here is how to keep every step of a review or walkthrough while still tightening the video.
Nepali and Hindi captions fail in specific, predictable ways: wrong script, invented English words, mangled names. Here is what goes wrong, how to fix it, and when to use romanized letters instead of native script.
You should not have to upload twice to get a YouTube cut and TikTok shorts. Here is how one upload produces both, and how the length of your source changes what you should ask for.
Transcript-based editing lets you cut video by deleting words in a text document. Here is how it works, what it is genuinely good at, and where you still want a timeline.
When an AI edit is almost right, you should be able to change the one thing that is wrong. Here is what ought to be editable — titles, captions, clips, framing, music — and why re-rendering must never erase your work.
Caption style decides whether people keep watching a muted video. Here is how to choose one, why previewing with your own words matters, and what to check at phone size.
Cropping widescreen footage to 9:16 throws away most of the frame. Here is how speaker tracking, split-screen and per-segment control keep the right thing in shot.
An editor that learns from what you keep and change gets closer to your final cut each time. Here is what a taste profile actually records, and why fewer, better edits beat a pile of similar clips.