Generate title candidates from proven YouTube title patterns
This tool is a rule-based template generator, not an AI tool — it takes your topic and video type, and slots them into a set of real, proven YouTube title patterns (step-by-step guide framing, numbered listicles, "COMPLETE guide" emphasis, honest review phrasing and more), swapping in the current year and varying numbers like 5/7/10 where relevant. It doesn't analyze your actual footage or use a language model — it's straightforward template substitution, which makes it fast, predictable, and fully offline.
Tips: YouTube truncates titles in search results and suggested videos at around 60 characters, though the exact cutoff varies by device and pixel width — treat the color indicator as a strong guideline, not an absolute rule. Always read the final title as a viewer would; a template can produce grammatically odd results with unusual topics.
No. It's a fixed set of proven title templates per video type, filled in with the topic you provide. There's no language model involved — the same inputs always produce the same candidates.
A tutorial benefits from "how to" and step-by-step framing that promises instruction, while a listicle performs better with numbered, scannable phrasing. Using the wrong style for the wrong content type tends to undersell what the video actually delivers.
Green means the title is under about 60 characters and should display fully in most YouTube surfaces. Amber (60-70) risks partial truncation depending on where it's shown. Red (over 70) is very likely to be cut off with an ellipsis.
They're a strong starting point built from patterns that reliably perform well, but always read them for grammar and accuracy first — a template can occasionally produce an awkward phrase depending on the topic you enter.
No — every candidate is generated locally in your browser using JavaScript template substitution. Nothing you type is uploaded or logged anywhere.