By uploading a PDF, Lovart can read and interpret its structure, summarize key points, and extract relevant visuals or constraints—so you can move directly from documentation to design with confidence. This is especially useful for working with briefs, brand guidelines, and pitch decks, where understanding structure and intent matters more than copying content. Instead of manually parsing documents, Lovart translates them into design-ready understanding you can act on immediately.

Presentations automatically structure your visuals into a coherent deck, apply consistent branding, and generate speaker notes—so you can move from creative iteration to presentation-ready output without rebuilding everything in PowerPoint. This streamlines the entire process of pitching ideas, sharing strategies, and showcasing work, while keeping your visual language consistent from Canvas to slides.

By understanding text as a design element—not just pixels—Lovart can re-render copy changes without breaking alignment, spacing, or overall balance. This makes small copy fixes and large-scale localization far less disruptive. Edit Text is ideal for updating headlines, CTAs, or translations while protecting the original design intent of your visual assets.

Delivering improved motion detail, scene dynamics, and temporal stability for complex, visually rich sequences, while expanding creative options for video generation and extension across diverse visual styles and motion behaviors.

With this combined capability, Lovart can analyze reference images, surface patterns in composition, color, typography, and layout, and ground them in current campaigns, trends, and benchmarks. This helps translate vague inspiration into clear, reusable creative direction that stays culturally relevant and brand-consistent across ongoing work.

You can move across large canvases, precisely select the right element or region, and visually mark areas that need changes. This reduces accidental edits and keeps your focus on intent rather than interface mechanics. Touch Edit also improves visual communication. Marks and annotations let you guide collaborators—or your future self—by showing *where* to change, not just describing it in text.

Nano Pro prioritizes responsiveness and consistency, making it ideal for rapid exploration, frequent edits, and workflows where speed matters as much as output quality.

The updated process maintains subject continuity across motion while reducing edge artifacts, making it easier to reuse people or products across different scenes without manual masking or rotoscoping. This unlocks faster motion design workflows and greater visual flexibility—letting you experiment with layouts, backgrounds, and compositions while keeping the subject consistent.

The updated process reconstructs detail while preserving motion consistency, reducing common issues like flicker, harsh edges, or over-sharpening. This makes upscaled videos feel more natural and cohesive, even in fast-moving scenes. Video Upscaler is designed to help you bring older or mixed-quality footage up to modern standards—whether you’re refreshing legacy campaigns, cleaning up UGC, or aligning assets from different sources within the same project.

Instead of regenerating the entire image, Lovart focuses only on the selected element and updates it in context. This makes it easy to iterate on products, props, or visual details without disturbing lighting, framing, or background. Edit Element helps reduce rework and speeds up exploration—so you can test variations, compare options, and refine art direction with much greater control.

By using @, you can pull images and models into context, so Lovart understands what you’re continuing, adapting, or extending — instead of starting from zero. Type @ in the chat input, select one or more assets, and describe what you want to do next. Lovart will treat them as the foundation for the following steps.

With improved lighting, camera movement, and visual realism, Veo 3.1 is designed for creators who care about cinematic quality and expressive motion, offering a more polished visual result with fewer iterations.

Lovart now supports Sora 2, delivering stronger temporal consistency and smoother motion across frames. Ideal for high-fidelity concept videos and narrative-driven content that feels cohesive, not stitched together.

Drop any thoughts by commenting on images or parts of an image. Lovart will take care of the details and assist you in executing your ideas.

Lovart now lets you generate long-form, two-speaker conversations with consistent visual and audio quality. Choose any topic, setting, or character design.

KLING 2.1 is built for speed and imagination. It delivers ultra-fast generation with the creative range to produce visually bold, reality-defying scenes in seconds.

Veo 3 brings cinematic quality to your screen. It captures realistic motion, lifelike character dialogue, and flawless audio sync – raising the bar for AI-generated video.

Flux Kontext sets a new standard for prompt-driven image editing. With top-tier understanding of both text and visual cues, it produces highly consistent outputs and allows precise and reference-based adjustments.