Subtitle Line Count Estimator turns three numbers into a planning figure. Give it Video duration (seconds), a Reading speed (cps) and a Chars per line value, and it reports an estimated subtitle line count together with the arithmetic behind it, showing the character total it derived and how that was divided into lines.
It is built for people quoting work before the work exists. A project manager pricing a 90-minute documentary, a freelancer judging whether a rush job is feasible overnight, or an accessibility coordinator scoping a back catalogue all face the same question: roughly how much subtitle text is in this runtime? Waiting for a transcript is rarely an option when the quote is due today.
The model is simple and honest about being an estimate. Duration in seconds is multiplied by reading speed in characters per second to give a total character volume, and that total is divided by the characters-per-line figure and rounded up. Leaving Reading speed (cps) blank applies 17 cps, a common planning average for adult viewers; leaving Chars per line blank applies 38, comfortably inside the 42-character broadcast limit. The printed character total lets you audit the result rather than trust it blindly.
Because it assumes continuous speech, the figure is an upper bound for dialogue-light drama and closer to realistic for interviews, lectures and news. Everything recalculates instantly in your browser with nothing uploaded.