Kling | v3 | Standard | Text to Video.

  • Kling
  • Text to Video
  • $0.084–$0.154 per second, depending on audio
  • ~2 min average

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.

View API docs

What Kling | v3 | Standard | Text to Video is good at.

  • Best 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…

  • Limits and tips

    Getting good results

    For Kling | v3 | Standard | Text to Video, structure prompts with numbered segments for multi-shot control: specify camera angles, transitions, and dialogue…

  • Related model

    MiniMax | H3 | Max | Turbo | Text to Video

    Run it on the same input to compare output, speed and price.

    View model

Model documentation

About this model

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.

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.

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.

Use cases

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.

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.

Technical spec

  • 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.

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.

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.

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.

 

Questions about this model

The short answers. For anything specific to your setup, talk to our team.

Talk to an engineerPlan for your expected volume.
  • 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.

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