How to make marketing videos with AI voice and captions
Quick answer
To make a marketing video with AI voice and captions, start with one audience, one claim and one next step. Write a short spoken script, generate and proof the narration, map each line to a visual, assemble the video around the final audio, then generate and manually correct synchronized captions. Preview the exported file in the destination placement before publishing.
Use this workflow for product explainers, paid-social variants, launch clips and content repurposing. AI can shorten production, but it does not verify product claims, rights, pronunciation, caption accuracy or campaign performance.
The eight-step workflow
Write the brief. Define the viewer, the single problem, the approved claim, the proof shown on screen and the destination action.
Draft for speech. Use short sentences and read them aloud. Put the product or outcome before background detail.
Lock the voice track. Generate a few readings, choose one, then fix names, numbers, pauses and emphasis before editing visuals.
Build a visual beat sheet. Give every spoken idea a matching product shot, screen recording, generated scene, diagram or text card.
Create and clear the assets. Verify likeness consent, source rights, brand marks, factual claims and any required AI disclosure.
Edit to the narration. Place the approved voice first, trim visuals to meaning rather than arbitrary cut intervals, and leave room for captions.
Generate and proof captions. Correct the transcript, timing, speaker labels and meaningful sound cues; check every line at phone size.
Export, preview and test. Review the actual file with sound on and off in the target placement, then measure qualified actions against a controlled baseline.
A cobalt-blue perfume bottle stands on a dark stone pedestal. A thin band of light moves across the background as the camera makes one slow push-in. Keep the bottle centered and rigid. Realistic product photography, one continuous shot, no hands, no new text.
Build one marketing-video test
Turn one approved message into a short video, then proof the voice, visuals and captions before you publish or spend.
Create a Video1. Write a brief that can survive production
A useful brief fits in five lines: audience, problem, promise, proof and action. If the promise cannot be shown or substantiated, revise it before generating anything. For a product ad, make the landing page and video agree on price, availability, result and qualification.
Choose one primary metric before production. A top-of-funnel video may optimize for qualified retained viewing; a product video may optimize for activated visits or purchases. Views alone do not tell you whether the creative created revenue.
2. Turn the brief into a spoken script
Write for the ear. Remove long subordinate clauses, stacked adjectives and setup that delays the value. A practical sequence is: name the problem, show the result, explain one mechanism, present proof and give one action.
Hook: state or show the relevant problem or result without a false curiosity gap.
Body: explain only what the viewer needs to evaluate the claim.
Proof: show the product state, source, example or condition that makes the claim credible.
Action: tell the viewer what happens after the click.
3. Generate and review the AI voice
Use an AI voice generator when a synthetic narrator fits the project. Use voice cloning only with permission from the person whose voice is being reproduced. Save the final script and pronunciation notes with the approved audio so later versions remain consistent.
Listen for names, numbers, dates, acronyms, homographs, sentence endings, pace and emotional fit. Change the script when the wording causes an unnatural read; repeated regeneration cannot repair prose that is hard to say.
4. Map narration to visuals
Create a beat sheet before opening the editor. For each line, specify the exact visual and the evidence it carries. Use screen recordings for interface claims, product footage for physical behavior, diagrams for processes and generated shots for illustrative scenes that do not pretend to document reality.
An AI video generator can create or transform visual shots. A UGC ad generator can produce creator-style candidates. In both cases, inspect hands, faces, text, logos, product geometry, continuity and disclosure before the asset enters the final cut.
5. Assemble around the approved narration
Put the final voice track on the timeline first. Align every visual change with a new idea or useful emphasis. Keep important objects and on-screen copy away from the interface areas used by the destination app. TikTok’s own creative guidance says products and important elements should stay inside its safe zone and captions must be complete and legible.
Preview transitions at normal speed. A cut that looks clean frame by frame can still feel abrupt, and a generated scene may introduce a continuity error that only appears in sequence.
6. Generate captions, then edit them manually
Start with an automatic subtitle generator, then compare every caption with the final audio. YouTube’s automatic-caption guidance says quality varies with factors such as pronunciation, accents, dialects, background noise, overlapping speakers and multiple languages, and tells creators to review and correct the result.
WCAG guidance for prerecorded captions defines captions as synchronized text for speech and non-speech audio needed to understand the media. Include relevant speaker identification and sound cues, and do not let captions cover important visual information.
Text: correct product names, people, prices, dates, URLs and punctuation.
Timing: make each line appear with the spoken phrase and disappear before the next idea.
Readability: use strong contrast, sufficient size, short lines and a stable position.
Placement: check the final platform preview, including buttons, descriptions and device safe areas.
Delivery: keep an editable caption file when the platform supports closed captions; use open captions when the placement or audience requires always-visible text.
7. Run a final quality-control pass
Claim check: every spoken, visual and captioned claim matches current product evidence and the landing page.
Rights check: music, footage, voices, faces, marks and generated assets are cleared for the intended use.
Sound check: dialogue remains intelligible on a phone speaker and headphones.
Silent check: the core message remains understandable without sound.
Frame check: captions, faces, product and CTA remain visible in the target placement.
Export check: watch the uploaded or exported file from beginning to end; do not approve from the editor preview alone.
8. Measure one controlled creative difference
Create variants that change one material element, such as the opening visual or narrator, while holding the audience, offer, landing page, budget, duration and CTA constant. Record the asset, script, voice, model or tool, edit date and distribution settings.
Judge the result with the metric selected in the brief. For revenue work, connect retained attention to qualified clicks, activation, paid conversion, refunds and complaints. A faster production workflow is useful only if it preserves quality and improves the outcome that matters.
Frequently asked questions
Lock the script and voice track before final visual editing. The narration establishes timing; changing it later forces avoidable caption and timeline rework.
There is no universal accuracy rate. Performance varies by audio, language, names, accents, overlap and the service used. Treat automatic captions as a draft and proof them against the final audio.
Use closed captions when the player and distribution workflow support an accessible caption track. Use open captions when viewers must see text in a placement that may not expose a caption control. Many teams deliver both.
It can automate drafts, generation, transcription and some editing. A human still needs to approve claims, rights, voice and likeness use, caption meaning, export quality and the measured campaign decision.
Use the detailed subtitle workflow for caption delivery, compare current AI voice generators when narration is the main decision, review video marketing examples for format ideas, or use the content repurposing guide when the input is a long article, webinar or interview.
