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Text to Speech for YouTube Videos

Narration carries a video only if it keeps up with the picture. The usual failure is not a poor voice. It is good audio that arrives a beat late, or a script written to be read on screen being read aloud word for word.

Timing narration to the picture

A voiceover that finishes before the visual it describes feels like a mistake to the viewer, and one that finishes after it forces a rewind. The fix is to write the script with timings in it rather than against it.

Practically, that means opening the edit first and timing each line to the moment it belongs to, then writing to that length. A line that needs four seconds of screen time should be written at roughly ten to twelve words, because English narration runs at about 150 words per minute.

Leave a beat of silence at every scene change. Silence reads as deliberate pacing, and it is the difference between narration that sounds laid over a video and narration that sounds like it belongs to one.


Matching voice energy to your format

The right voice depends entirely on what kind of video you are making. An explainer or tutorial needs energy, because the visuals are carrying the information and the voice has to keep attention on them. A documentary or essay does the opposite, and an energetic voice there is exhausting.

Register follows the same logic. A higher, brighter voice suits a product walkthrough. A lower, steadier one suits analysis. The 41-voice catalogue covers American and British English in both, so the choice is about intent rather than availability.

Consistency across a channel matters more than picking the theoretically ideal voice. A channel that changes narration style between videos reads as inconsistent, and viewers notice that long before they can say why.


Turning on-screen text into narration

Video scripts are often drafted as on-screen text because that is faster to write, and then read verbatim by the voice. The result sounds like a bulleted list being spoken, which is the most recognisable sign of unprepared voiceover.

Expand every fragment into a sentence and remove the punctuation that only makes sense visually. "Click here" becomes "Click the button here." "1. Add water 2. Boil" becomes "First, add the water, and bring it to a boil."

Delete anything the viewer can already read faster than they can hear it. If a figure is on screen for four seconds, it does not need to be spoken as well, and saying it twice is the fastest way to lose a viewer.


Working with the 2,000-character limit

A ten-minute video script is well past the 2,000-character per-job limit, so a full video is generated in sections. This is not really a constraint for video work: sections that map to scene changes are the unit you would edit in anyway.

Generate each section separately and place the files on the timeline at the timings you wrote them to. Because the split is already aligned to the edit, there is no audio to join and nothing to smooth over.

Keep every section on the same voice and speed. Changing settings mid-video is the most audible mistake in a narrated edit, and it is entirely avoidable by treating the whole video as one project.


Step by step

1

Write the script against the edit, not the outline

Open the timeline and time each line to the visual it belongs to. A script written from an outline produces narration that drifts against the picture, and fixing that afterwards means re-cutting the video.

2

Convert on-screen text into spoken sentences

A caption reading "Step 3: Configure" should be a sentence: "Now we will configure the settings." Bullets and fragments read as nonsense aloud, and this rewrite is the single biggest quality improvement available.

3

Pick a voice with energy for explainer content

Narration for a tutorial has to carry the visual interest, so a brighter and more expressive voice works here than it would for a podcast. For documentary or serious commentary, drop the energy and the register instead.

4

Use 1.0x for tutorials, 0.95x for documentary

Instructional content matches a natural presenting pace at the default speed. Slower material, where the viewer is reading along with on-screen detail, reads better a little below 1.0x.

5

Generate in sections and leave room for silence

Split the script at scene changes and generate each as a separate job. The gaps between sections become natural pauses, which a video needs far more than a podcast does.

If you need captions for the videos you already have rather than narration for new ones, see how to transcribe video into subtitles.

Frequently Asked Questions

Is AI voiceover good enough for YouTube?
For narration over existing footage, tutorials, explainers and course content, yes, particularly at the shorter lengths that perform well on the platform. What does not work is narration standing in for footage you do not have, where the lack of visuals is obvious rather than the lack of a human voice.
How do I keep the voice from sounding robotic?
Write for the ear rather than the screen. Expand on-screen fragments into sentences, delete anything the viewer can read faster than they can hear it, and read the script aloud before generating. Anything you stumble over, the voice will stumble over too.
How long can a video script be?
2,000 characters per generation job, which is roughly two and a half minutes of narration. Longer scripts are generated as separate jobs and placed on the timeline individually. Splitting at scene changes is usually the better unit than splitting at a character count.
Should I use the same voice across all my videos?
Yes. A channel that changes narration style between videos reads as inconsistent, and viewers register that even when they cannot name it. Pick a voice that suits your format and leave it alone across the channel.