UniVideo

UniVideo is a unified AI video platform that integrates understanding, generation, and editing into a single workflow, powered by a dual-stream architecture combining Multimodal Large Language Models (MLLM) and Diffusion Transformers (DiT). Developed by KlingTeam, it accepts text prompts, image prompts, or reference images as input and outputs cinematic-quality videos up to 5 seconds at 720p HD resolution in 16:9 aspect ratio, accessible via a web interface.

What is UniVideo?

UniVideo is an AI video platform that unifies three core capabilities—understanding, generation, and editing—into a single tool. It takes text descriptions, static images, or reference photos as input and produces short, high-fidelity video clips. The platform runs entirely in the browser at univideo.ai and is created by KlingTeam, the team behind the state-of-the-art Kling video generation model.

Key Features

• Dual-stream architecture — Processes visual data with a hybrid of MLLM and DiT to merge generation and editing in one pass.
• In-context precision — Maintains character and object identity across scenes using reference images, solving the 'identity shifting' problem common in AI video.
• Hy-motion technology — Produces fluid, physically accurate motion through physics-based simulation, avoiding the uncanny valley effect.
• Visual prompt understanding — Interprets complex visual cues (mood, lighting, composition) from mood boards or sketches and translates them into coherent video sequences.
• Free-form editing — Allows instruction-based editing using natural language or visual prompts, including in-context editing that modifies segments without re-rendering the entire clip.
• Resolution and duration controls — Outputs at 720p HD (the only resolution option) with a fixed duration of 5 seconds, in 16:9 landscape aspect ratio.

Who is it for?

• Filmmakers and content creators — To generate cinematic shots, maintain character consistency across episodic content, and iterate on visual concepts quickly.
• Game developers — To produce trailers and cutscenes from storyboards or scripts, with AI cinematography that visualizes scenes before production.
• Marketing professionals — To dynamically replace objects in existing footage (e.g., product placements) without reshoots, or generate promotional videos from reference images.
• Social media managers — To create short, high-quality video clips for platforms like Instagram, TikTok, or YouTube Shorts using text-to-video generation.

Use cases

• Character consistency — Upload reference images of a character and generate multiple scenes where the character’s appearance remains identical, ideal for animated series or commercials.
• Dynamic object replacement — Use a reference photo to swap or add objects in an existing video, enabling seamless post-production updates.
• AI cinematography — Convert scripts or storyboards into cinematic trailers and cutscenes with realistic motion and lighting.
• Visual prompting — Turn conceptual sketches or mood boards into fully realized video sequences, accelerating pre-visualization for directors and art departments.

How does it work?

Users select either Text-to-Video or Image-to-Video mode, enter a description or upload an image, choose the resolution (720p HD) and aspect ratio (16:9 landscape), and set the duration (5 seconds). Each generation consumes credits from the user's account. After clicking "Generate", the platform processes the input and returns a video clip that can be previewed and downloaded. Editing features allow further refinement using natural language commands.

Pricing

UniVideo operates on a credit-based paid model with three tiers: Starter, Pro, and Ultimate. No free tier is available. Each tier provides a monthly allotment of credits, access to all AI models, ultra-fast response speed, no watermark, commercial use rights, early access to beta features, and lifetime updates.

FAQ

What is UniVideo?

UniVideo is a unified AI video platform that combines understanding, generation, and editing in one tool. It uses a dual-stream architecture with MLLM and Diffusion Transformers to produce high-quality videos from text or image inputs.

How does Character Consistency work?

Character Consistency uses reference images to anchor the appearance of characters or objects. When generating videos, the system refers to these images to ensure identical features, clothing, and style across different scenes, solving the identity-shifting problem.

Is UniVideo suitable for professional production workflows?

Yes. It offers commercial use rights, no watermarks, and supports high-fidelity output suitable for cinematic trailers, commercials, and episodic content. The unified workflow eliminates the need to switch between multiple tools.

What input formats are supported?

UniVideo accepts text prompts, uploaded images (JPG/PNG), and reference images for in-context generation. Outputs are video clips in an unspecified format (likely MP4).

Can I edit existing videos?

Yes, UniVideo supports free-form editing, including in-context editing where specific segments can be modified using image prompts or natural language instructions without regenerating the entire clip.