Text-to-Video in One Sentence

Kling AI text-to-video takes a written prompt and generates a video clip from scratch. No reference image required. With Kling 3.0, you can generate multi-shot sequences with native audio directly from text, producing coherent 15-second videos with consistent characters and environments.

When to Use Text-to-Video

Text-to-video is the right choice when:

• B-roll loops for podcasts, webinars, and presentations
• Stock footage replacements (cheaper than stock libraries at scale)
• Atmospheric mood shots for music videos and trailers
• Cinematic landscapes and environmental establishing shots
• Concept exploration during early creative stages
• Abstract textures and backgrounds
• Quick ad concepts before committing to image-to-video production

Text-to-video is NOT the right choice when:

• You need a specific person's face (use image-to-video with a reference)
• You need a specific product shown accurately (use image-to-video)
• Character consistency across clips matters (use image-to-video)
• The exact visual identity is important (use image-to-video)

The 6-Part Prompt Formula

Follow this structure for consistently usable results:

1. Style Anchor

Sets the overall visual feel. Examples:

• Documentary 35mm - realistic, organic
• Cinematic 50mm - polished, shallow depth of field
• Macro close-up - extreme detail
• Fashion editorial - stylized, magazine-quality
• Surveillance CCTV - found footage look

2. Subject with 2 Distinctive Details

What is in the frame, with enough specificity to avoid generic output:

• An espresso machine with copper accents and worn handles
• A woman in her 30s with dark curly hair and a denim jacket
• A forest clearing with morning mist and fallen birch trees

3. Camera Framing and Move

One move only. Never two:

• Medium close-up, slow push-in
• Wide shot, slow drift right
• Locked-off, no camera movement
• Over-the-shoulder, slight handheld drift

4. Lighting Recipe

Name the light source and direction:

• Soft window light from camera-left
• Golden hour backlight, lens flare
• Overhead fluorescent, clinical feel
• Candlelight, warm orange cast

5. Action in Beats

Timed motion prevents drift:

• 0-2s steam rises from the cup, 2-4s hand enters frame, 4-5s hand lifts cup
• 0-1.5s she takes two steps, 1.5-3s she pauses, 3-5s she turns to camera

6. Negative Prompt

5-8 terms. Always include these:

• warping, distortion, jittery motion (universal)
• extra fingers, deformed hands (for people)
• frozen lips, unnatural mouth (for dialogue)
• Content-specific: melted text, mirrored logo (for products)

7 Production-Ready Text-to-Video Prompts

1. Coffee Shop B-Roll

Documentary 35mm, slight handheld drift, warm Kodak grade. Medium close-up
of an espresso machine pulling a shot, copper accents and worn handles.
Soft window light from camera-left. 0-2s continuous brewing, 2-4s steam
rises, 4-5s drip completes. Palette: copper, cream, espresso brown.
Negative: warping machine, jittery steam, distorted metal.

2. City Skyline at Dusk

Cinematic wide shot, slow drift right, anamorphic lens flare. A modern
city skyline at dusk, glass towers reflecting orange sky, distant traffic.
0-3s lights come on in buildings, 3-5s sky deepens from orange to cobalt.
Palette: amber, cobalt, slate, glass reflection. Negative: warping
buildings, jittery clouds, distorted architecture.

3. Forest at Dawn

Cinematic wide, slow forward push, atmospheric haze. A misty deciduous
forest at dawn, beams of sunlight breaking through tall oaks. 0-2s mist
swirls slowly, 2-4s a single deer steps into the clearing, 4-5s deer
lifts head. Palette: deep green, pale gold, bark brown. Negative: warping
deer, jittery beams, distorted trees.

4. Abstract Liquid Swirl

Macro top-down close-up, locked-off. Cream swirling into black coffee
in a dark ceramic cup, slow organic motion. 0-2s initial pour creates
spiral, 2-4s tendrils expand, 4-5s pattern settles. Palette: cream,
espresso, gold, dark ceramic. Negative: warping liquid, jittery motion,
artifacts.

5. Product Hero (Generic)

Commercial studio, locked-off with slow 15-degree rotation. A premium
skincare bottle, frosted glass with gold cap, on a white marble surface.
0-3s slow rotation revealing label, 3-5s light catches the gold cap.
Palette: white, gold, frosted glass. Negative: melted text, warping
bottle, distorted label, mirrored logo.

6. Street Scene

Documentary 50mm, slow tracking left, natural grade. A busy street market
at midday, colorful awnings and produce stalls, people walking. 0-2s
camera tracks past fruit stall, 2-4s a vendor arranges oranges, 4-5s
customer points at produce. Palette: citrus, terracotta, canvas white.
Negative: warping faces, extra limbs, jittery crowd.

7. Multi-Shot Cinematic Sequence (Kling 3.0)

Shot 1 (0-3s): Cinematic wide, slow push-in. A modern kitchen at
morning, sunlight through large windows, a woman stands at the counter.

Shot 2 (3-6s): Medium close-up. She reaches for a coffee cup, steam
rising, warm light on her face.

Shot 3 (6-9s): Close-up of coffee being poured, cream swirling,
smooth motion.

Shot 4 (9-12s): Over-the-shoulder, she looks out the window at a garden,
coffee cup in hand.

Shot 5 (12-15s): Wide shot pulling back through the window, revealing
the full kitchen scene from outside.

Negative: warping walls, jittery transitions, frozen face, distorted hands.

Text-to-Video with Kling 3.0 Audio

Kling 3.0 can generate audio alongside the video. To include audio in text-to-video:

• Ambient sound: Just describe the environment and the model generates appropriate audio (rain, wind, cafe noise, birds)
• Dialogue: Write the spoken words in your action beats and the model generates lip-synced audio
• Sound effects: Describe actions that naturally produce sound (pouring, footsteps, door closing)

Example with audio:

Documentary handheld, slight drift. A woman in a bright kitchen says
"OK so I have been making this recipe for a month and it actually works."
0-2s she gestures at ingredients on counter, 2-5s she picks up a jar
and turns it to camera. Ambient kitchen sounds, natural speech.
Negative: frozen lips, unnatural voice, jittery hands.

Submit, Iterate, Ship

Text-to-video generations take 3-8 minutes. Watch the result. If something is off (wrong angle, wrong palette, wrong motion), tweak the specific part of the prompt that is wrong and regenerate.

Most text-to-video clips need 1-2 rerolls to land. Budget for this. The reroll cost is the price of creative freedom.

Common Text-to-Video Mistakes

1. Prompts that are too vague. "A beautiful sunset on a beach" produces generic output. "Cinematic wide shot, slow drift left, golden hour. An empty white sand beach at sunset, single palm tree camera-left, gentle turquoise waves. 0-3s sky transitions from gold to pink, 3-5s wave rolls in. Palette: gold, coral, turquoise, white sand. Negative: distorted horizon, warping waves, jittery clouds." produces something specific and usable.

2. Missing the style anchor. Starting a prompt with "A woman walks into a room" produces flat, generic video. Starting with "Documentary 35mm, soft handheld drift" before the subject description produces video with intentional visual character.

3. Over-prompting with contradictions. "Cinematic but also casual, bright but moody, fast but smooth" confuses the model. Pick one direction per quality.

4. Ignoring the palette. Adding 3-5 color names to your prompt ("Palette: espresso, cream, copper, walnut") significantly improves the visual coherence of the output. Without a palette, colors are random.

Prompt Length: How Long Should Your Text-to-Video Prompt Be?

Based on production experience, here are the optimal prompt lengths for different scenarios:

Prompts under 20 words tend to produce generic output because the model fills in too many decisions on its own. Prompts over 100 words for a single shot tend to confuse the model because the instructions become contradictory or over-constrained. The sweet spot is detailed enough to be specific, short enough to be focused.

Text-to-Video Cost Comparison

Text-to-video is typically cheaper than image-to-video because there is no reference image processing overhead on some model versions.

On Kling, the cost is the same for text-to-video and image-to-video. The decision should be based on quality needs, not cost. Image-to-video produces more consistent and controllable results for any content with specific visual identity requirements.

For teams shipping high volumes, the most cost-effective approach is to use text-to-video for b-roll and environmental content (where identity does not matter) and image-to-video for character and product content (where identity is critical).

Run Your First Text-to-Video Today

Pick one of the 7 prompts above. Paste it. Generate. 5 minutes from now you have a clip.