How to Use Text to Stock Video AI in 5 Steps

You have a script. You need a video. The gap between the two used to be a day of scrolling stock libraries, downloading clips, dragging them onto a timeline and hoping the licence covered what you were about to do with them.

Text-to-stock-video collapses that. You paste the script, and the tool matches each line to licensed footage, assembles it in order, and hands back a video. Here is how to do it well rather than just quickly.

Step 1: Write a visual script, not a written one

This is the step that decides whether the output is usable, and it is the one most people skip.

The matching engine works line by line. It reads a line, works out what it is about, and finds footage that shows it. So the script has to describe things that can be shown.

Rules that work:

• One idea per line. A line that packs three concepts together gets footage for one of them, or a confused blend of all three.
• Name concrete things. "A barista pouring milk into a flat white" retrieves what you expect. "Quality and craftsmanship" retrieves whatever the model thinks that looks like — usually a handshake in an office.
• Front-load the noun. "Solar panels on a suburban rooftop at sunset" beats "at sunset, what you are looking at is a rooftop with panels."
• Keep abstractions out of the visual layer. Statements like "our margins improved 12% year over year" have no footage. Either pair them with a visual line ("a rising line chart on a laptop screen") or plan to cover them with a graphic.

A useful test: read a line out loud and ask whether a photographer could shoot it. If not, rewrite it until they could.

Before:

We believe in sustainable practices that benefit everyone.

After:

Wind turbines turning on a green hillside.

A worker in a hard hat inspecting a solar array.

A family switching on the lights in a bright kitchen.

Same message, three shots that exist.

Step 2: Pick a tool that matches your actual output

Not all of these do the same job, and the differences matter more than the marketing pages suggest. The questions worth asking:

Does it license the footage, or just find it? Some tools return search results and leave the licence to you. That is not the same as a video you can publish.

What languages does the voiceover cover? If you publish in more than one market, a tool with a strong English voice and nothing else means a second workflow for every other language.

Can you edit the matches? The first pass will get some lines wrong. A tool that lets you swap a single clip saves the whole render.

What does the export look like? Resolution, aspect ratio, watermark, and whether there is a hard cap on video length.

The honest summary: if the video is a narrated sequence of real-world footage, you want a stock-matching tool. If the video is a person talking to camera, you want an avatar tool. Picking the wrong category is the most expensive mistake here, and no amount of prompt-fiddling fixes it.

Step 3: Generate, then review every match

Run the script. Then watch the result with the sound off.

You are looking for three specific failures:

Literal-match errors. The line said "the company is growing" and the footage is a plant growing. Funny once, fatal in a client video.

Tonal mismatches. Correct subject, wrong mood — a sombre line over bright, bouncy footage.

Repetition. The same or near-identical clip appearing twice within a few seconds. Viewers notice this faster than almost anything else.

Fix these by rewriting the offending line, not by re-running the whole script and hoping. The line is the input; changing anything else is guesswork.

If two lines keep pulling the same clip, make them more specific in different directions — "a crowded morning train platform" and "an empty office at night" will never collide, where "busy" and "quiet" might.

Step 4: Add the voiceover — in the language you actually publish in

Footage without narration is a mood reel. The voiceover is what makes it a video.

Three decisions:

Voice. Match the voice to the content, not to what sounds most impressive. Corporate explainers want clarity and pace. Story-led content wants warmth and variation. On DubVoice.ai that means picking from 17,800+ voices across six providers — ElevenLabs, Vbee, Minimax, Fish Audio, Edge TTS and Kokoro — with cost per character ranging from premium down to 90% cheaper for bulk work.

Pace. Stock footage reads slower than talking-head video. Narration that felt right in a doc reads rushed over b-roll. Slow it by about 10% and check again.

Language. If you publish in more than one market, generate the voiceover per language rather than subtitling one master. Native narration outperforms subtitles on watch time in almost every test, and with 50+ languages available it costs a re-render rather than a re-shoot.

One practical note: write numbers the way you want them read. "2026" can come out as "two thousand twenty-six" or "twenty twenty-six" depending on context — if it matters, spell it out in the script.

Step 5: Export, check the licence, publish

Export settings. 1080p is the right default for social and web. Match the aspect ratio to the destination — 16:9 for YouTube, 9:16 for Shorts, Reels and TikTok, 1:1 if it is going in a feed. Re-cropping later loses the framing the footage was matched for.

The licence. This is the step that gets skipped and the one that costs money. Confirm three things before you publish:

• The footage is cleared for commercial use, not just editorial.
• There is no attribution requirement you have not met.
• If people are recognisable in the footage, model releases are in place.

A reputable tool handles all three and says so. If the licensing terms are hard to find, treat that as an answer.

Publish and measure. The first three seconds decide everything in short-form. If retention drops off a cliff there, the problem is the opening line and the opening shot — not the rest of the video.

Frequently asked questions

How long does this take?

Minutes for a 60-90 second video, most of it spent reviewing matches rather than waiting. The comparison is against a manual footage search, which is measured in hours.

Is the footage really licensed?

With a tool that licenses on your behalf, yes — that is the core of what you are paying for. With a tool that only searches, no. Check before you rely on it.

Can I use this for client work?

Yes, provided the licence covers commercial use. On DubVoice.ai a commercial licence is included with every generation.

What if the footage does not match my niche?

Very specific or proprietary subjects (your own product, your own office, a niche industrial process) are where stock runs out. That is the point to mix in your own clips or switch to generative video, which builds the shot rather than retrieving it.

Do I need video editing experience?

No. That is the trade — you give up frame-level control and get a finished video without a timeline. If you need frame-level control, export and finish it in an editor.

How is this different from AI video generation?

Stock matching retrieves real footage that already exists. Generative video creates footage that never existed. Stock is cheaper, faster, and looks real because it is real. Generative wins when the shot you need does not exist — a product that is not manufactured yet, an impossible camera move, a scene nobody has filmed.

The short version

The quality of a text-to-stock video is decided in step 1 and step 3. Write lines that can be photographed, then actually watch the result and fix the lines that failed. Everything else is settings.

On DubVoice.ai the whole loop — script to stock footage to voiceover in 50+ languages to export — runs off a single credit balance starting at $4.99, with no subscription and credits that never expire. [Try it in the dashboard](/dashboard/text-to-stock-video).