Draft a hook, a body and a closing line with a language model, read it out with a text-to-speech voice, then turn the same script into footage with a video model. The whole chain runs in one toolkit, and you stay in charge of the facts and the tone.
A short video is won or lost in its first two seconds and its last line, and both of those are written, not filmed. Most people skip the writing, open a video model with a vague idea and get pretty clips that say nothing. Picasso IA lets you run the whole chain in one place: a language model drafts the script, a text-to-speech model reads it aloud, and a video model turns each beat into footage.
The blank page is the real cost of short-form video. A thirty second clip has maybe eighty spoken words, yet people spend an hour on them, because every word has to earn its place. A language model is very good at the part that hurts: it gives you ten different hooks for the same idea in the time it takes to read one, and picking among options is a far easier job than inventing from nothing.
The second reason is that a script is the one input every later step shares. The voice model reads it, the video model gets its scenes from it, and the captions are cut from it. Fix a weak line at the script stage and it is fixed everywhere, for the price of a sentence.
On Picasso IA the three kinds of model sit behind one interface. The catalog has 502 models, among them 75 large language models, 24 text-to-speech models and 121 text-to-video models, and the toolkit runs all of them, so the script, the voice and the footage do not need three accounts. New accounts get free credits to try a first script end to end. Credits are what each generation costs, and the amount depends on the model and the settings, so check the pricing page rather than guessing.
A script for a short video is not an article cut down. It is something a voice has to say in one breath-sized sentence after another, over visuals that change every few seconds. Tell the language model that, or it hands you tidy paragraphs that sound like a brochure.
Give it five facts in the prompt: who the viewer is, the single point of the video, the length in seconds, the tone you want, and any line or claim that must appear word for word. Then ask for a hook-first structure: one line that creates a question, a short body of three or four beats, and a closing line that tells the viewer what to do or think next. Models such as claude-4.5-sonnet, gpt-5 and gemini-3-flash all follow this kind of brief well, and running the same prompt through two of them is a quick way to see two different voices.
Ask for the script in two columns, what is said and what is shown. That one habit pays off later, because the right column becomes your video prompts almost unchanged.
Read every script out loud before you generate anything. If you stumble on a sentence, so will the voice model, and a sentence that is hard to say is nearly always a sentence that is too long. Cut it in half.
Different short videos want different bones. Choosing the format before you write saves the most rewriting, and it decides what kind of footage you will need.
| Format | How the script is built | What the footage needs |
|---|---|---|
| Explainer | Hook with a question, three beats of one idea each, one takeaway line | Simple illustrative scenes or objects, easy to generate |
| Story or anecdote | Setup, turn, payoff, with the twist held for the final line | Consistent characters and settings across shots |
| Listicle | One promise in the hook, then numbered items of one sentence each | One short clip or still per item |
| Product teaser | A problem in the hook, the product as the answer, one clear next step | Clips that stay truthful to the real item |
| Talking head | A first-person script written the way you speak, no scene directions | A character or avatar speaking, with lip sync |
If you have no footage at all and no one to put on camera, an explainer or a listicle is the easiest to produce, because each beat can be one generated clip. If you want a face, the talking head format works with a lipsync model such as lipsync-2, which takes a video and an audio track and matches the mouth to the voice. For ideas on turning a script into a longer channel format, faceless YouTube videos covers the same chain at greater length.
This is the order that wastes the fewest credits. Each step produces something you can check before paying for the next one.
If you want the voice step on its own, AI voiceover for videos goes through it in detail, and AI video dubbing covers carrying a finished script into other languages.
Readers and viewers pick up the machine voice within a sentence or two, and the causes are always the same few. The most common is the generic opener: a hook that could sit on any video about any subject. Replace it with a specific detail, a number you checked or a situation your viewer has actually been in.
The second is the evenly paced script. A language model likes sentences of similar length and a rhythm that never breaks, and the voice model then reads them in the same flat cadence. Mix a long sentence with a very short one.
The third is asking the model for facts it cannot know. If your video mentions a statistic, a date, a quote or a feature of a product, you supply it, and you check it against a real source.
An honest page says where the tool stops helping. For short-form scripts there are five places:
None of these is a reason to avoid the workflow. They are the reasons the last mile belongs to the person who knows the subject and the audience.
It can write a draft that is close, and a draft is all you should expect. A language model gives you structure, hook options and a consistent rhythm in seconds. What it cannot supply is your experience, your facts or the small phrases that make viewers recognize you. Cut the filler, check every claim and read it aloud once. After that pass the script is usually ready to voice or record.
Work backwards from the length of the video, not forwards from an idea. A fifteen second clip holds a hook and one point, while a minute can hold a hook, three beats and a closing line. Spoken pace varies by language and voice, so the reliable method is to voice the draft once, time it and cut beats until it fits. Cutting a beat is almost always better than speeding the voice up, because a rushed voice tires the listener.
There is no single winner, and that is the case for having a catalog. Large language models such as claude-4.5-sonnet, gpt-5 and gemini-3-flash all handle a structured script brief, and they differ in tone: one may be drier, another more playful. Run the same prompt through two of them, keep the one that sounds closest to you and use the other for spare hooks. The 75 large language models in the catalog give you plenty of room to compare.
Yes. Text-to-video models such as veo-3.1, kling-v3-video and seedance-2.0 generate short clips from a written description, so each visual line of your script becomes one clip. Keep every clip short, repeat the same style words in each prompt so the look stays consistent, and expect to regenerate some of them. You then combine the clips with the voice track in an editor. For a version where a character speaks to camera, add a lipsync model on top.
Write for the ear. Short sentences, contractions and plain words sound better than formal prose. After the first voiceover, listen for names, numbers and abbreviations that are read wrongly, then respell them in the text as they sound until the voice gets them right. Text-to-speech models such as speech-2.8-hd and gemini-3.1-flash-tts differ in voice and style, so it is worth trying two of the 24 in the catalog before you settle on one.
Yes. The script works the same whether you record it yourself or voice it with a model. Recording yourself is often the better choice when your face or personality is the reason people watch. You can still use the models for the script and the visuals, and you can also use your own recording as the audio for a lipsync step. Only use a voice you own or a clearly fictional one, and never imitate a real person without their permission.
Often they do not, when the script has been edited properly, and they usually can when it has not. The giveaways are a generic opener, even pacing and claims that feel vague. Fix those and the script reads like the person who edited it. Some platforms also ask creators to label synthetic or AI-generated media, so check the current requirements of each platform you post on rather than assuming there is nothing to disclose.
Yes. Ask a language model to adapt the script rather than translate it literally, because jokes, idioms and sentence rhythm rarely carry over word for word. Then voice each version with a text-to-speech model that supports that language, and keep the same footage if it contains no text. Have someone who speaks the language listen to it before you post. For finished videos that already have a voice, a dubbing workflow may be quicker than rewriting.
For most uses you can, but the responsibility stays with you. Check the facts, avoid claims the product cannot back up, and make sure any person or voice in the video is yours or fictional. Rules about advertising, health, finance and sponsored content differ by country and by platform, and none of this page is legal advice. If the video makes claims in a regulated area, have a qualified person review the script before it goes out.
Every generation uses credits, and the cost depends on the model and the settings you choose, so any number written here would go out of date. Text is cheap compared with video, which is why it makes sense to perfect the script first and generate footage last. New accounts get free credits to try the full chain, and the current plans are on the pricing page, which is the only place worth trusting for numbers.
Your next video starts with one good first line. Open the Picasso IA toolkit and have a draft script on screen before your coffee cools.
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