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KLING-V3

Creates AI videos from text prompts using Kling O3 Standard a faster, cost-efficient option for generating cinematic clips up to 15 seconds with native audio generation.

Avg Run Time: 260.000s

Model Slug: kling-v3-standard-text-to-video

Release Date: February 14, 2026

Playground

Input

Output

Example Result

Preview and download your result.

Pricing is calculated per second of generated video: $0.084/sec (no audio), $0.126/sec (with audio), or $0.154/sec (audio with voice control).

API & SDK

Create a Prediction

Send a POST request to create a new prediction. This will return a prediction ID that you'll use to check the result. The request should include your model inputs and API key.

Get Prediction Result

Poll the prediction endpoint with the prediction ID until the result is ready. The API uses long-polling, so you'll need to repeatedly check until you receive a success status.

Readme

Table of Contents
Overview
Technical Specifications
Key Considerations
Tips & Tricks
Capabilities
What Can I Use It For?
Things to Be Aware Of
Limitations

Overview

Kling | v3 | Standard | Text to Video, from provider Kling in the kling-v3 family, transforms text prompts or reference images into high-quality video clips with synchronized native audio. This model solves the challenge of creating cinematic, multi-shot videos efficiently, balancing quality, speed, and cost for creators needing consistent motion and sound.

Its primary differentiator is structured multi-prompt support for up to six sequential shots in a single generation, enabling seamless scene transitions without manual editing. Ideal for narrative clips, social content, and product demos, Kling | v3 | Standard | Text to Video delivers temporally stable outputs with dialogue, ambient sound, and clear character tracking. Available via the Kling | v3 | Standard | Text to Video API on platforms like each::labs, it supports both text-to-video and image-to-video workflows for versatile Kling text-to-video production.

Technical Specifications

  • Model Name: Kling VIDEO 3.0 Standard (kling-v3 family)
  • Inputs: Text prompt, optional reference image; supports up to six sequential prompt segments for multi-shot
  • Outputs: MP4 video with optional native audio (dialogue, sound effects, ambience)
  • Duration: 3–15 seconds (default 5 seconds)
  • Resolutions: Up to 1920×1080 (1080p); Standard mode at 720p/1080p
  • Aspect Ratios: 16:9 (landscape), 1:1 (square), 9:16 (portrait)
  • Processing: Unified multimodal pipeline; audio generated in one pass with video
  • Audio Languages: Best in English and Chinese; supports Japanese, Korean, Spanish

These specs enable efficient Kling text-to-video generation with stable motion and lip-sync alignment.

Key Considerations

Before using Kling | v3 | Standard | Text to Video, ensure prompts include clear subjects, actions, camera movements, and audio cues for optimal results. It excels in short narrative clips under 15 seconds, outperforming single-shot alternatives for multi-scene stories via its six-prompt structure.

No specific prerequisites beyond a detailed text prompt or image; aspect ratios auto-adjust with images. Cost starts low at $0.084 per second without audio, trading minor speed for balanced quality—ideal for prototyping over ultra-high-res needs. Use the Kling | v3 | Standard | Text to Video API on each::labs for seamless integration in workflows favoring consistency over extended durations.

Tips & Tricks

For Kling | v3 | Standard | Text to Video, structure prompts with numbered segments for multi-shot control: specify camera angles, transitions, and dialogue per shot to leverage its storyboard capability. Use image-to-video for character consistency, as it anchors appearance better than text alone.

Optimize by toggling generate_audio for synced sound, adding negative prompts to exclude artifacts like distortions. Set duration to 5-10 seconds initially for faster iterations. Example prompts:

  • "Shot 1: Wide establishing shot of a bustling city street at dusk, camera pans right. Shot 2: Close-up on a smiling vendor offering street food, says 'Try my special noodles!' with ambient market noise."
  • "1. Slow zoom on ancient temple doors opening. 2. Hero walks in, whispers 'Finally found it,' echoing footsteps."
  • "Image: [upload character portrait]. Animate: Character runs through forest, dodging branches, breathing heavily with bird calls."

These yield coherent Kling text-to-video outputs with native audio sync.

Capabilities

  • Generates synchronized video and native audio from text prompts, including dialogue with lip-sync and ambient sounds.
  • Supports image-to-video to animate reference images while preserving subject identity and composition.
  • Multi-shot generation with up to six sequential prompts for structured scenes, camera transitions, and narrative flow.
  • Flexible aspect ratios (16:9, 1:1, 9:16) and durations from 3-15 seconds at up to 1080p resolution.
  • Interprets complex prompts for camera movements like pans, zooms, and tracking shots per segment.
  • Maintains temporal stability, reducing visual drift and ensuring character consistency across shots.
  • Multilingual audio support, best in English/Chinese, with effects like echoes and layered soundscapes.
  • Negative prompt handling to refine outputs by excluding unwanted elements.

What Can I Use It For?

Content Creators: Produce social media reels with multi-shot stories. Example: "Shot 1: Product reveal in slow motion. Shot 2: User testimonial with voiceover: 'This changed my routine!'" leverages native audio for engaging TikTok clips.

Marketers: Create product demos using image-to-video. Start with a still photo: "Animate: Bottle spins on table, liquid pours smoothly, fizzing sound effect," generating polished ads with synced SFX.

Developers: Prototype app cinematics via Kling | v3 | Standard | Text to Video API. "1. UI screen fades in. 2. Finger taps button, success animation with chime," for quick video mockups on each::labs.

Designers: Storyboard animations: "Shot 1: Sketch character draws itself. Shot 2: Colors fill in with brush sounds," using multi-prompt for seamless creative visualization.

Things to Be Aware Of

Kling | v3 | Standard | Text to Video may show character variations across separate generations, so use image references for consistency. Complex physics, like intricate interactions, can appear less natural—stick to plausible motions.

Audio performs best in English/Chinese; other languages risk minor sync issues. Common mistakes include vague prompts without shot numbering, leading to single-scene outputs instead of multi-shot. High durations (15s) increase processing time, so test shorter clips first. Resource needs are standard for API calls on each::labs.

Limitations

Kling | v3 | Standard | Text to Video caps at 15 seconds per generation—stitch clips for longer videos. Audio quality dips outside English/Chinese, and character consistency requires image inputs across runs.

Pro-level 1080p demands more compute; Standard mode favors speed over peak fidelity. No native 4K or video-to-video in this variant, and edge-case physics or rapid multi-object motions may lack realism.

 

FREQUENTLY ASKED QUESTIONS

Dev questions, real answers.

Kling V3 Standard Text-to-Video is a powerful AI video generation model on eachlabs from Kling's V3 generation. It creates high-quality video clips from written prompts, offering improved semantic understanding and motion quality over earlier Kling versions, and is accessible to developers via eachlabs' unified generative AI API for building video applications.

Kling V3 Standard Text-to-Video on eachlabs offers enhanced visual quality, better prompt comprehension, more natural motion dynamics, and improved subject consistency versus earlier Kling models. These upgrades make it better suited for professional content creation, advertisement production, and advanced video generation applications compared to the V1 and V2 generations.

Yes, Kling V3 Standard Text-to-Video on eachlabs is well-suited for commercial applications. eachlabs provides developer-friendly API access, detailed documentation, and scalable infrastructure. Developers can integrate V3 Standard into SaaS platforms, creative tools, and automation pipelines to deliver AI video generation features to their end users effectively.