[ Notes ]
Notes — page 2.
What text-to-speech tools do with the text you paste
The text goes somewhere. Whether it is stored, logged, used for training or discarded is rarely stated anywhere you can find it — here is how to work it out, and what happens here.
Read →Captions for short-form video: TikTok, Reels and Shorts
Short-form captions follow almost none of the broadcast conventions. They are burned in, timed tighter, and read in silence — which changes what a good subtitle file looks like.
Read →Choosing a voice: locale, gender and multilingual
Voice quality is no longer the deciding factor between neural voices. Locale, and whether the voice is multilingual, change the result far more than the name does.
Read →How word-level subtitle timing actually works
Most tools guess subtitle timings from character counts. Speech synthesis can report exactly when each word was spoken — here is what that data looks like and why it changes the result.
Read →SRT or VTT: which subtitle file do you actually need?
The two formats carry the same timings and differ in about four ways. Which one you want depends entirely on where the file is going next.
Read →Subtitle timing rules: cue length, reading speed and line breaks
Perfectly accurate timings still produce unreadable subtitles. The conventions that separate the two are old, well established, and mostly ignored by automatic tools.
Read →