Text to Video AI Generator: Create Videos from Prompts
Turn a text prompt into an AI video clip. Choose a video model yourself or use Auto mode, control the aspect ratio and duration, and generate motion, camera movement, and native audio on supported models.
Leading Text to Video models in one workspace
Auto selects a suitable available model based on your prompt and settings.
What is Text to Video?
getimg.ai's Text to Video generator turns a written prompt into an AI-generated video clip. You type a scene description, pick a video model or let Auto select one, set the aspect ratio and clip length, and the platform returns a clip you can download, regenerate, or run again on a different model.
Text is the primary input here: no footage, no upload, no timeline. If you already have the character, product, or opening frame you want to animate, start from Image to Video instead.
Why creative teams ship video with getimg.ai
Built for the production loop. The workflow takes you from brief to first cut without a detour through editing software.
No editing experience required
Type the brief. Pick aspect ratio and length. Get a clip back. The workflow is already built. No timelines, no node graphs, no production stack to set up.
Prompt enhancement, on by default
Prompt enhancement expands short prompts into fuller scene directions before generation, so you can write two lines instead of a full shot list.
Run one prompt across several models
Keep the prompt fixed and switch the model to see how each one reads the same brief. Useful for deciding which model fits a shot before you commit to a batch.
Fast enough to iterate
Built for teams that ship daily. Change the prompt, switch the model, regenerate. The loop is short enough to keep creative momentum.
How professionals use Text to Video
Campaign assets, narrative shorts, product motion, and social cuts, produced from a prompt in one workspace.
Where prompt-based video fits
Traditional production still owns the finished film. Text to Video owns the stage before it: concepting, previsualization, and rapid experimentation, where you need to see the shot before anyone books a day.
getimg.ai
Describe the shot
Write what's in frame, how it moves, and how it should feel. Short prompts work; prompt enhancement expands them into fuller scene directions.
Choose model and settings
Pick a model or let Auto choose, then set aspect ratio, clip length, and audio where the model supports it.
Generate, compare, export
Run variants side by side, keep the take that works, and export MP4 for an editor, an ad set, or a previs reel.
Traditional video production
- Lock the concept, script, and references
- Book crew and talent
- Book gear, lighting, and location
- Schedule the shoot
- Shoot, with takes and weather risk
- Edit, grade, and mix
- Review and revise
- Reshoot if the direction changes
- Deliver, days or weeks later
When Text to Video is the right starting point
Prompt-based video is strongest before anything is locked: when the scene does not exist yet and you need to see several versions of it quickly.
Leading Text to Video models in one workspace
Dialogue, motion control, longer clips, fast iteration: pick the model the shot needs, on one subscription. Model lineups move quickly, so treat the Video Models Guide as the current source for durations, aspect ratios, and audio support.
Google Veo
Veo generates picture and sound together and follows camera direction closely. The Omni Flash models add native audio at faster turnaround, across a wider resolution range.
Google Veo 3.1
Generates dialogue, music, and ambient sound alongside the picture. 8-second clips at 1080p in 16:9 or 9:16, with reference image, first frame, and last frame guidance.
Gemini Omni Flash 1.1
Fast multimodal generation with native audio, first and last frame interpolation, and multi-reference guidance. 4 to 10 seconds, from 360p up to 4K, in 16:9 or 9:16.
Gemini Omni Flash
The earlier Omni Flash release, also with native audio. 5- or 10-second clips at 720p in 16:9 or 9:16, with reference image and first frame guidance.
Which Text to Video model should you use?
Pick by what the shot needs. Each tab lists the models worth trying first, what they are good for, whether they generate sound with the picture, what references they accept, and how long a single clip can run.
Dialogue and sound
Choose a model that generates audio together with the picture when the shot needs speech, music, or ambient sound. Veo 3.1, FLUX 3, and Wan 3.0 generate sound too, if you need a different clip length or look.
Gemini Omni Flash 1.1
Good for: fast dialogue and ambience with full frame and reference control. Sound with picture: yes. References: reference image, first and last frame. Clip length: 4 to 10 seconds, from 360p up to 4K.
Seedance 2.5
Good for: sound across long takes and complex camera movement. Sound with picture: yes. References: reference image, first and last frame. Clip length: up to 30 seconds across six aspect ratios.
Kling 3.0 Pro
Good for: narrative shots that need sound and close motion control. Sound with picture: yes. References: first and last frame. Clip length: up to 15 seconds, output up to 4K.
We ran the same text prompt on five video models
One prompt, five models, nothing else changed: 16:9, eight seconds, sound on. We picked a brief that puts pressure on the hard parts: a person turning to camera, light that changes every few frames, specular detail on metal, and a slow camera move. Switch tabs to compare before you pick a model for your own shot.
The prompt: A model in a chrome beaded top and butterfly hair clips turns to face the camera under a bank of popping paparazzi flashes, slow motion, the beads scattering hard white light with every burst, deep black background, camera slowly pushing in, shutter clacks and a low crowd murmur.
Text to Video prompt examples
Eight prompts you can adapt. Each names a subject, an action, a camera move, and a lighting cue, which is the structure most Text to Video models respond to, and each one teaches a different control.
How to write a Text to Video prompt
A video prompt needs more than a subject. "A woman in a city" gives the model nothing to animate. Name what is in frame, what moves, how the camera behaves, and how fast the shot develops. Cover these six and the output is far more likely to match what you pictured.
Results still depend on the model and the prompt. Complex scenes, exact continuity between clips, or one very specific movement often take a few generations to land, so plan on iterating rather than expecting the first take to be final.
Build a better prompt, one line at a time
Each line below adds one kind of information. The clip beside them is what the finished prompt produces.
1. A car driving. Nothing is yours yet. The model picks the car, the road, the light, and the camera for you.
2. A red sports car on a winding mountain road. Now the subject and the setting are your decision.
3. At sunset. Two words set the light, the colour, and the mood of the whole shot.
4. Low tracking shot from the side, warm backlight through the trees, dust behind the rear wheels, steady quick pace, engine roar and wind. Camera, light, motion, and sound are now directed rather than guessed.
A red sports car drives fast along a winding mountain road at sunset, low tracking shot from the side moving with the car, warm backlight flaring through the trees, dust kicking up behind the rear wheels, steady quick pace, engine roar and wind noise
Describe how things move
A subject on its own is not enough for video. Separate three kinds of movement in the prompt and the shot gets much easier to read.
Instead of "a woman standing in a field", write "a woman standing in a field as wind moves through her hair and coat, tall grass bending slowly around her".
A woman stands still in a tall grass field as wind moves through her hair and coat, the grass bending slowly in waves around her, static wide shot, soft overcast light, slow steady pace
Camera language for Text to Video prompts
You do not need film school. One term per idea is enough for the model to place the camera and move it.
Framing
How much of the scene is in shot, and how close you are to the subject.
Close-up
Fills the frame with the subject or one detail of it. Use it for faces, hands, textures, and product detail.
Medium shot
The subject from roughly the waist up, with some of the setting visible. The default for people doing something.
Wide shot
The subject small inside a visible environment. Use it to establish a place before you cut closer.
More reasons creative teams pick getimg.ai for video
Not just the model library: the workflow around it.
Commercial usage rights on paid plans
Paid plans include commercial usage rights for generated videos, subject to our terms, model-specific conditions, and applicable third-party rights. No enterprise tier and no separate licensing step before client work.
Prompt in 20+ languages
Write prompts in 20+ supported languages, including Japanese, Spanish, French, German, and Chinese, without switching interfaces.
Run generations in parallel
Queue several clips at once: 2 on Entry, 4 on Core, 8 on Plus, 10 on Ultra. The next clip starts while the current one is still rendering, which helps when you're testing variants.
Generate VFX concepts and creative shots from text
Explore portals, glitches, levitation, particles, and transformations straight from a prompt. It is a fast way to find the idea. Whether the final shot needs compositing or extra editing is a decision you make after you have seen it move.
A man stands alone in the middle of a deserted road at midnight, streetlights flickering around him. A slow push-in shot captures his blank, unreadable expression. Suddenly, he flickers—like a glitch in a simulation. His body distorts slightly, pixelating at the edges. The flickering intensifies until—without warning—he completely disappears, leaving only empty space behind. A final flicker of static before the screen cuts to black [Push in]
Native audio, generated with the clip
On supported models, sound is generated together with the picture and matched to the motion of the scene. Describe what you want to hear in the prompt, and check the model before you rely on it: audio support varies by model.
Build longer sequences, one clip at a time
Clip duration depends on the selected model. Current options range from short shots to longer single takes, so check what each model supports today in the Video Models Guide. For anything beyond one clip, generate a series, use first and last frame guidance to help maintain the visual direction, then assemble them in an editor.
Need more visual control?
Both paths produce a clip. The difference is what you start from. On the left, a still that already exists. On the right, the same frame turned into motion.
Text to Video is the right start when the scene does not exist yet. If you already have a specific character, product shot, composition, or opening frame, Image to Video is usually the better starting point.
Explore More AI Features
Frequently Asked Questions
Text to Video AI turns a written prompt into a generated video clip. You describe the subject, the action, the camera, and the setting; the model uses that description to generate a sequence of frames that matches it.
On getimg.ai you can generate video from text with models such as Google Veo 3.1, Kling 3.0 Pro, Seedance 2.5, FLUX 3, Wan 3.0, MiniMax H3, and Grok Imagine, from one workspace and one subscription.
Open getimg.ai in your browser, open Create video, and write a prompt. Describe the subject, what moves, the camera, and the mood.
Set the aspect ratio, the clip length, and the number of variations, then generate. The clip renders in the background, so you can queue the next one or keep working while it finishes.
There is no single best model: the right one depends on the shot. For dialogue and ambient sound, start with Veo 3.1 or Kling 3.0 Pro. For longer single takes, start with Seedance 2.5, Wan 3.0, or FLUX 3. For high-volume social output, start with Seedance 2.0 Fast. For physically grounded movement, try MiniMax H3.
You can generate and compare clips directly in your browser. Run the same prompt on two models to see how they differ, or let Auto select a suitable model based on your prompt and settings.
A Text to Video model uses your prompt as conditioning to generate a sequence of frames. The prompt can steer the subject, the action, the environment, the camera, the lighting, and, on supported models, the audio.
The more specific the description, the more the output tends to follow it. Results can still vary between runs, and complex physical interactions may require iteration, so plan on generating a few variants rather than expecting the first take to be final.
Text to Video creates a scene from scratch: the only input is your prompt. Image to Video starts from a picture you already have and animates it.
Start with text when the scene does not exist yet. Start with an image when you already have the product, character, or composition you want in motion. You can also combine them by generating a still first and using it as the first frame of a clip.
Most clips render in a few minutes, depending on the model, the clip length, and the resolution. Changing a prompt, switching models, or rerunning the same brief takes less time than a single render in traditional software.
Generations run in the background, so you can stay in the workspace and start the next clip without waiting.
Most video models support 16:9 and 9:16. Several also support 1:1, 4:3, 3:4, and 21:9. Coverage varies by model, so check the model card for the exact set.
Clip length also depends on the model, and the range keeps growing: current options run from short shots of a few seconds to longer single takes. Rather than hardcode numbers that age quickly, check the current durations per model in the Video Models Guide.
On supported models, yes. Those models generate dialogue, ambience, sound effects, and music alongside the picture. Models without native audio return picture only, so check the model before you rely on sound.
Describe the audio directly in the prompt, after the visual description. On a supported model the sound is produced with the motion, so there is no separate sound pass.
Paid plans include commercial usage rights for generated videos, subject to our terms, model-specific conditions, and applicable third-party rights. The rights are included across Entry, Core, Plus, and Ultra, with no separate licensing step before client work.
On models that accept a reference image, you can use one to guide the character, subject, or visual style across clips. It helps maintain a look rather than guaranteeing it.
First and last frame guidance is supported on most video models and gives a clip a visual anchor at its opening or closing, which improves continuity when you assemble a longer sequence in an editor. Generative video can still drift, so expect a few attempts for exact continuity.
Results depend on the model and the prompt. Complex scenes, exact continuity between clips, hands and text in frame, and one very specific movement are the usual places where output drifts from the brief.
The practical workflow is to generate several variants, compare them, and refine the prompt. A single clip is also bounded by the selected model's maximum duration, so longer sequences are assembled from multiple generations in an editor.
Generate more. Wait less.
Type the prompt. Pick a model, or let Auto choose. Iterate in the time a single traditional render would take.