LTX Alternatives

Muzaic.ai is a web-based audio production platform for teams that publish video at volume. It takes a folder of video cuts and returns each one finished: music, sound effects, ambience and voiceover composed to fit the picture and each other, mixed and mastered to broadcast spec. Three soundtrack concepts per clip, in about 30 seconds, with commercial licensing and legal cover included. Who it is for Marketing teams, advertising agencies and production houses that ship dozens or hundreds of ad variants a month and need the audio step to keep pace with the rest of the pipeline. Key capabilities Video analysis: reads scenes, objects, pacing, colour and sentiment to build an audio plan before composing a note. Four-layer composition: music, SFX timed to the action, ambience ducked under speech, voiceover drafted from the brief; original source audio preserved where wanted. Batch processing: drag in single cuts or a whole folder (MP4, MOV); each clip queues with its length. Campaign briefs: one brief per campaign with up to four style tags and five direction sliders drives every clip. Versioning: up to three concepts per clip, side by side, each with its own status. Review and approval: shareable client review links replace email rounds; status tracking per campaign. Localisation: language versions of a finished mix in one click. Export: MP3 and WAV; downloads unlimited on every plan. Licensing: 100% commercial licence on paid plans, with legal cover that extends to the agency's clients on Studio. Plans Usage is metered in minutes of finished audio per month; downloads are unlimited and legal cover is included on all paid plans. Personal: free forever. 10 minutes a month, non-commercial use, MP3 export. Creator: from $45/month. Commercial use for your own brand and paid ads, up to 3 concepts per video, WAV + MP3, legal cover on every campaign. Top-up at $1.00 a minute. Studio: from $249/month. Client work with the licence travelling to the client, paid ads for clients' brands, priority processing, client review links, one-click language versions. Top-up at $3.00 a minute. Enterprise: custom pricing. TV, radio, cinema and out-of-home use, extended cover limit named in the agreement, dedicated processing capacity, custom contract, DPA and SLA. Annual billing saves 20%. Deployment: SaaS, browser-based, no install. Support: email and online documentation; 30-minute live demo on your own campaign available.

Used and trusted by 90% of the Fortune 100, Synthesia is the best AI video generation platform for business. Create professional, presenter-led videos as easily as writing an email. With Synthesia, you can turn text into studio-quality AI-generated videos in minutes, directly in your browser. Say goodbye to cameras, actors, film crews and expensive production timelines. When your products, policies or messaging change, your videos can be updated just as quickly. Create engaging training, onboarding, marketing and internal communications that drive understanding and results. Replace static documents and slide decks with dynamic, human-like video that captures attention and improves knowledge retention. Choose from 240+ diverse, realistic AI avatars or create your own custom digital twin for a consistent on-screen presence. Simply type or paste your script and generate videos in 160+ languages and accents with built-in AI translation and dubbing.

Muse Spark Open is an open-weight, natively multimodal language model for developers and organizations building AI applications, coding systems, and agentic workflows. The released model has 816 billion total parameters, 42 billion active parameters, and a 1-million-token context window. Teams can download the model weights, run inference through supported engines such as vLLM, SGLang, TensorRT-LLM, Hugging Face Transformers, Apple MLX, llama.cpp, or Unsloth, and customize the model using PyTorch. It supports long-context reasoning, software engineering, coding, tool use, and multimodal inputs. Deployment options include cloud inference through listed API providers or self-hosting on compatible GPU systems; Meta documents a desktop setup using two Apple M5 Ultra Mac Studio computers. The model is released under the Muse Model License with limited commercial terms.

NVIDIA Nemotron 3.5 Super VL is an open, customizable multimodal AI model designed for complex reasoning, autonomous agents, and enterprise workflows. The model uses a 120-billion-parameter mixture-of-experts architecture that activates approximately 12 billion parameters per token to balance computational efficiency with model capabilities. It combines text, image, document, and video understanding with instruction following, coding, and external tool use. Its multimodal capabilities support document analysis, chart interpretation, optical character recognition, video understanding, and automated information extraction. Developers can customize the model through supervised fine-tuning, low-rank adaptation, and reinforcement learning using NVIDIA NeMo. Nemotron 3.5 Super VL supports deployment in local, cloud, and data center environments for applications such as software engineering, financial document processing, cybersecurity analysis, and enterprise automation.

MiMo-V2.6-Flash is an open-source, natively omnimodal AI model from Xiaomi MiMo designed to balance intelligence, efficiency, and cost. The model supports coding, general agent workflows, visual reasoning, computer use, automation, and multimodal creative tasks. Its capabilities extend beyond software engineering into frontend design, presentation creation, 3D modeling, interactive world generation, video production, and embodied simulation. Xiaomi trained MiMo-V2.6-Flash with large-scale reinforcement learning across coding, general agent, visual, and cybersecurity tasks, completing roughly 750,000 training trajectories. The model is positioned as the more cost-efficient member of the MiMo-V2.6 family while retaining strong performance across software engineering, tool use, automation, and visual coding benchmarks. MiMo-V2.6-Flash is available through MiMo Desktop, AI Studio, MiMo Code, the Xiaomi MiMo API Platform, OpenRouter, and the open-source MiMo-V2.6 release.

Inkling is an open-weights multimodal AI model from Thinking Machines designed as a customizable foundation model for developers, researchers, and enterprises. The model is a Mixture-of-Experts transformer with 975 billion total parameters, 41 billion active parameters, and support for context windows up to 1 million tokens. Inkling was trained from scratch on text, images, audio, and video, giving it native capabilities across reasoning, coding, agentic tool use, vision, audio, factuality, and instruction following. It is built with controllable thinking effort so users can balance performance, latency, and token efficiency for different workloads. The model is available for fine-tuning on Tinker, with playground access, API availability through ecosystem partners, and full weights published on Hugging Face. Built for customization, Inkling gives teams an open-weights base model for building domain-specific AI systems, multimodal agents, coding workflows, research tools, and more.

MiniMax M3 is an open-weight multimodal AI model designed for coding, agentic workflows, long-context reasoning, and complex automation tasks. The model combines frontier-level coding performance, native multimodal understanding, and a context window of up to 1 million tokens. MiniMax M3 uses MiniMax Sparse Attention to improve long-context efficiency while reducing compute requirements for large-scale inputs. It supports text, image, and video understanding, making it useful for workflows that combine code, documents, visual references, and tool-driven tasks. The model is built for repository-scale reasoning, software engineering, autonomous task execution, tool calling, and multi-step agent workflows. MiniMax M3 helps developers, AI teams, and enterprises build capable agents that can reason across large contexts and work with multimodal information.

Gemini Omni is Google’s new model family where Gemini’s ability to reason meets the ability to create, starting with video. The first model in the family, Gemini Omni Flash, can create anything from any input by combining images, audio, video, and text as input, then generating high-quality videos grounded in Gemini’s real-world knowledge. It gives users an easier way to edit video through conversation, where every instruction builds on the last, characters stay consistent, physics hold up, and the scene remembers what came before. Users can transform specific details or entire worlds, reimagine action, add new characters or objects, change environments, adjust camera angles, refine styles, and build multi-turn edits without losing the thread of the original scene. Gemini Omni is designed to bridge photorealism and meaningful storytelling by reasoning about what should happen next, using an intuitive understanding of forces like gravity, kinetic energy, and fluid dynamics.

Grok Imagine Video 1.5 is xAI’s improved image-to-video model, built for better quality at faster speeds. Now generally available on the Imagine API as grok-imagine-video-1.5, it gives creators and developers a way to start from an image, describe the motion, and choose the resolution and duration for the generated video. Grok Imagine Video 1.5 and Video 1.5 Fast are described as xAI’s best image-to-video models yet, with better motion, better physics, better audio, and faster generation for real creative work. Audio and speech are generated in the same pass as the visuals, so sound effects, ambience, and dialogue land on the action, while speech is clearer and better synchronized. Motion and physics are also improved, helping movement hold together across the length of a clip with fewer warps and more believable weight and momentum. Grok Imagine Video 1.5 Fast almost doubles generation speed, producing 6-second, 720p videos in about 25 seconds.

AI Studios enables you to create your own AI Avatar video easily! Our AI humans speak naturally like real humans using body language and gestures. Create high-quality custom content with specialized models in a variety of industries. If creating a new one is difficult, you can use the created layout. Use templates instead of complex and difficult designs. Automatic subtitle generation based on the entered script. More detailed manual editing is available as well. You can use it for guides, manuals, and other educational purposes. You can use it for private social media content. You can use it to make content for video platforms.

CogVideoX is a text-to-video generation tool. Before running the model, please refer to this guide to see how we use the GLM-4 model to optimize the prompt. This is crucial because the model is trained with long prompts, and a good prompt directly affects the quality of the generated video. Contains the inference code and fine-tuning code of SAT weights. It is recommended to improve based on the CogVideoX model structure. Innovative researchers use this code to better perform rapid stacking and development. A detailed wooden toy ship with intricately carved masts and sails is seen gliding smoothly over a plush, blue carpet that mimics the waves of the sea. The ship's hull is painted a rich brown, with tiny windows. The carpet, soft and textured, provides a perfect backdrop, resembling an oceanic expanse. Surrounding the ship are various other toys and children's items, hinting at a playful environment.

FramePack AI revolutionizes video creation by enabling the generation of long, high-quality videos on consumer GPUs with just 6 GB of VRAM, using smart frame compression and bi-directional sampling to maintain constant computational load regardless of video length while avoiding drift and preserving visual fidelity. Key innovations include fixed context length to compress frames by importance, progressive frame compression for optimal memory use, and anti-drifting sampling to prevent error accumulation. Fully compatible with existing pretrained video diffusion models, FramePack accelerates training with large batch support and integrates seamlessly via fine-tuning under an Apache 2.0 open source license. Its user-friendly workflow lets creators upload an image or initial frame, set preferences for length, frame rate, and style, generate frames progressively, and preview or download final animations in real time.

LTXV offers a suite of AI-powered creative tools designed to empower content creators across various platforms. LTX provides AI-driven video generation capabilities, allowing users to craft detailed video sequences with full control over every stage of production. It leverages Lightricks' proprietary AI models to deliver high-quality, efficient, and user-friendly editing experiences. LTX Video uses a breakthrough called multiscale rendering, starting with fast, low-res passes to capture motion and lighting, then refining with high-res detail. Unlike traditional upscalers, LTXV-13B analyzes motion over time, front-loading the heavy computation to deliver up to 30× faster, high-quality renders.

Runway Aleph 2.0 is an AI-powered video editing model that enables users to modify existing footage through natural language instructions and visual references. The model supports targeted edits to objects, backgrounds, lighting, clothing, and other visual elements while preserving unaffected parts of the original video. Its frame-based editing capabilities allow users to modify a single reference frame and automatically apply the changes throughout the video. Aleph 2.0 supports clips up to 30 seconds long at 1080p resolution, including sequences containing multiple shots and scene transitions. Through Runway Edit Studio, users can preview changes as images before generating the edited video, reducing unnecessary iterations. The model supports video production, advertising, filmmaking, and content creation workflows by enabling teams to create multiple variations of existing footage without additional filming.

Treza turns a description into a working AI video pipeline. Tell it what you want, like a daily Short for YouTube, vertical clips cut from a podcast, or a product spot from a brief, and Treza builds the workflow: script, video and image models, voiceover, music, captions, and publishing. Run it once, on a schedule, or through an API. Every step is a node on a visual canvas, so you can swap a model, rewrite a prompt, or rerun one step. Models include Veo 3.1, Seedance 2.5, Kling, Wan, and Gemini image, with lip sync, 4K upscaling, and transcription built in. A timeline editor handles the final cut. Post finished videos straight to YouTube and TikTok, call any pipeline over an OpenAI-compatible API, or run Treza from Claude and ChatGPT. Prepaid credits from $5, no subscription, and credits never expire. Enterprise adds deployment in your own cloud and custom workflows.

Vace AI is an all-in-one AI video creation and editing platform designed to simplify every step from concept to production, enabling users to effortlessly generate professional-quality videos with advanced AI-driven effects and an intuitive workflow. With support for common formats such as MP4, MOV, and AVI, users upload source footage and select from a suite of AI-powered tools to seamlessly move, swap, stylize, resize, or animate any object, while advanced content, structure, subject, pose, and motion preservation technology ensures key visual elements remain intact. The drag-and-drop interface and intuitive controls let both beginners and professionals customize effect parameters, preview changes in real time, and refine outputs, and a single-click generate-and-download process delivers high-quality results ready for immediate use.

Wan AI is a discovery and inspiration hub designed to showcase a curated collection of AI-generated videos and images created by the community, along with the prompts and configurations used to produce them. It allows users to browse a wide range of example outputs, such as cinematic scenes, animations, and stylized visuals, to understand the capabilities of Wan’s models and learn how different prompts, styles, and parameters influence results. Each piece of content is typically paired with its original prompt or input, enabling users to replicate, modify, or build upon existing creations as a starting point for their own projects. This exploration environment plays a key role in the creative workflow by lowering the learning curve, offering practical references for prompt engineering, and helping users quickly identify styles, compositions, and techniques that match their goals.

Wan2.2 is a major upgrade to the Wan suite of open video foundation models, introducing a Mixture‑of‑Experts (MoE) architecture that splits the diffusion denoising process across high‑noise and low‑noise expert paths to dramatically increase model capacity without raising inference cost. It harnesses meticulously labeled aesthetic data, covering lighting, composition, contrast, and color tone, to enable precise, controllable cinematic‑style video generation. Trained on over 65 % more images and 83 % more videos than its predecessor, Wan2.2 delivers top performance in motion, semantic, and aesthetic generalization. The release includes a compact, high‑compression TI2V‑5B model built on an advanced VAE with a 16×16×4 compression ratio, capable of text‑to‑video and image‑to‑video synthesis at 720p/24 fps on consumer GPUs such as the RTX 4090. Prebuilt checkpoints for T2V‑A14B, I2V‑A14B, and TI2V‑5B stack enable seamless integration.

FLUX 3 Action is an open-weight 7B world-action model designed for action prediction in robotics and other latency-sensitive visual environments. Derived from the multimodal FLUX 3 backbone, it was pretrained on large-scale image, video, and audio data with a strong emphasis on video, then adapted through joint video-action training and fine-tuning for specific embodiments and action spaces. Given an instruction, camera observations, and robot joint positions, the model predicts motor commands together with their expected visual outcomes, allowing a robot to execute actions, observe the environment again, and continuously replan. Unlike approaches that separate visual prediction from control, FLUX 3 Action jointly models future video and actions, transferring world understanding learned from broad video pretraining into robot control. Its single-step 7B checkpoint reaches a 38.3% success rate on RoboLab-120.

Fattly is an all-in-one AI content platform for e-commerce sellers, marketers, agencies and creators. One workspace gives you 50+ leading AI models (Veo, Kling, Seedance, Nano Banana, GPT Image, ElevenLabs and more) to create images, videos, voiceovers and ready-to-post ads. Ad Studio turns a product photo and a short script into a UGC-style video ad in which an AI presenter talks about your product, in English, Polish, German, Spanish or French. Fattly also dubs existing videos into other languages with lip-sync, puts real clothing on a model with AI virtual try-on, and covers product shots, face swap, upscaling, background removal, voice generation and voice cloning. Developers can generate through a REST API, a CLI and an MCP server that works with Claude and other AI agents. Start free, then pay per credit or choose a monthly subscription. Built in Poland, used worldwide.

LFM3 is Liquid AI’s family of compact, open-weight foundation models for text, vision, audio, and multimodal tasks. The release includes text-generation, vision-language, audio, omni, and decision-model variants. Developers can download the model weights, adapt supported models through fine-tuning, and run them locally on edge hardware or access them through Liquid AI’s hosted API. Use cases include conversational assistants, tool calling, speech transcription and generation, image and video understanding, document extraction, classification, routing, and robotics applications. LFM3 is intended for developers, researchers, and organizations building specialized AI applications that need flexible deployment choices, including local inference. Open-weight models are available under Liquid AI’s LFM Open License; commercial eligibility and terms depend on an organization’s annual revenue.

Odyssey is a frontier interactive video model that enables instant, real-time generation of video you can interact with. Just type a prompt, and the system begins streaming minutes of video that respond to your input. It shifts video from a static playback format to a dynamic, action-aware stream: the model is causal and autoregressive, generating each frame based solely on prior frames and your actions rather than a fixed timeline, enabling continuous adaptation of camera angles, scenery, characters, and events. The platform begins streaming video almost instantly, producing new frames every ~50 milliseconds (about 20 fps), so you don’t wait minutes for a clip, you engage in an evolving experience. Under the hood, the model is trained via a novel multi-stage pipeline to transition from fixed-clip generation to open-ended interactive video, allowing you to type or speak commands and explore an AI-imagined world that reacts in real time.

Qwen3-Omni is a natively end-to-end multilingual omni-modal foundation model that processes text, images, audio, and video and delivers real-time streaming responses in text and natural speech. It uses a Thinker-Talker architecture with a Mixture-of-Experts (MoE) design, early text-first pretraining, and mixed multimodal training to support strong performance across all modalities without sacrificing text or image quality. The model supports 119 text languages, 19 speech input languages, and 10 speech output languages. It achieves state-of-the-art results: across 36 audio and audio-visual benchmarks, it hits open-source SOTA on 32 and overall SOTA on 22, outperforming or matching strong closed-source models such as Gemini-2.5 Pro and GPT-4o. To reduce latency, especially in audio/video streaming, Talker predicts discrete speech codecs via a multi-codebook scheme and replaces heavier diffusion approaches.

VideoPoet is a simple modeling method that can convert any autoregressive language model or large language model (LLM) into a high-quality video generator. It contains a few simple components. An autoregressive language model learns across video, image, audio, and text modalities to autoregressively predict the next video or audio token in the sequence. A mixture of multimodal generative learning objectives are introduced into the LLM training framework, including text-to-video, text-to-image, image-to-video, video frame continuation, video inpainting and outpainting, video stylization, and video-to-audio. Furthermore, such tasks can be composed together for additional zero-shot capabilities. This simple recipe shows that language models can synthesize and edit videos with a high degree of temporal consistency.

Topview AI is an agent-driven video creation platform for producing films, marketing videos, advertisements, social content, animations, and other visual media. Users can describe an idea or provide a script, product URL, image, or reference video, and the platform can plan scenes, select models, generate assets, and organize the production workflow. Its Canvas workspace supports free-form, multi-shot video creation while helping maintain consistency across characters, voices, and visual styles. Topview also includes Drama Studio for micro-dramas and episodic content, Board for managing generated assets and models, and specialized tools for image generation, avatars, voice, motion control, upscaling, and editing. The platform orchestrates multiple third-party and built-in AI capabilities for video, image, audio, avatar, and localization workflows, with support for more than 30 languages.

Nova 2 Omni is a fully unified multimodal reasoning and generation model capable of understanding and producing content across text, images, video, and speech. It can take in extremely large inputs, ranging from hundreds of thousands of words to hours of audio and lengthy videos, while maintaining coherent analysis across formats. This allows it to digest full product catalogs, long-form documents, customer testimonials, and complete video libraries all at the same time, giving teams a single system that replaces the need for multiple specialized models. With its ability to handle mixed media in one workflow, Nova 2 Omni opens new possibilities for creative and operational automation. A marketing team, for example, can feed in product specs, brand guidelines, reference images, and video content and instantly generate an entire campaign, including messaging, social content, and visuals, in one pass.

NVIDIA Nemotron 3 Nano Omni is an open, omni-modal foundation model designed to unify perception and reasoning across text, images, audio, video, and documents within a single efficient architecture. It eliminates the need for separate models for each modality, reducing inference latency, orchestration complexity, and cost while maintaining consistent cross-modal context. It is purpose-built for agentic AI systems, acting as a perception and context sub-agent that gives larger AI agents the ability to “see, hear, and read” in real time across screens, recordings, and structured or unstructured data. It supports advanced multimodal reasoning tasks such as document understanding, speech recognition, long audio-video analysis, and computer-use workflows, enabling agents to interpret dynamic interfaces and complex environments. Built with a hybrid architecture optimized for long context and throughput, it can process large inputs like multi-page documents.

Gemini Omni 1.2 Flash is an AI video generation model developed by Google DeepMind that enables users to create and edit high-quality videos using natural language instructions and multimodal references. The model generates videos up to 15 seconds long with native audio, realistic motion, synchronized speech, and cinematic camera movements. Its reference-based generation capabilities allow users to combine images, short video clips, and audio cues while maintaining consistent characters, products, environments, and visual styles. Multi-turn conversational editing enables creators to modify existing videos by changing backgrounds, lighting, objects, and aspect ratios without regenerating the entire clip. Gemini Omni 1.2 Flash supports video generation at 360p and 720p with upscaling options for 1080p and 4K output, while offering lower generation costs than its predecessor.

Runway is an AI-powered creative platform that enables individuals and businesses to generate, edit, and produce videos, images, audio, and other digital media. The software provides access to generative AI models from Runway and third-party developers through a unified cloud-based workspace. Its video generation capabilities transform text prompts, images, and existing footage into realistic video sequences with customizable motion, camera movement, and visual styles. AI-powered editing tools support background replacement, object removal, lighting adjustments, scene transformations, and consistent characters across multiple shots. Runway Agent helps users plan, generate, and assemble complete video projects through natural language conversations and automated production workflows. The platform also offers image generation, audio production, real-time AI characters, developer APIs, and integrations with professional creative applications.

HunyuanCustom is a multi-modal customized video generation framework that emphasizes subject consistency while supporting image, audio, video, and text conditions. Built upon HunyuanVideo, it introduces a text-image fusion module based on LLaVA for enhanced multi-modal understanding, along with an image ID enhancement module that leverages temporal concatenation to reinforce identity features across frames. To enable audio- and video-conditioned generation, it further proposes modality-specific condition injection mechanisms, an AudioNet module that achieves hierarchical alignment via spatial cross-attention, and a video-driven injection module that integrates latent-compressed conditional video through a patchify-based feature-alignment network. Extensive experiments on single- and multi-subject scenarios demonstrate that HunyuanCustom significantly outperforms state-of-the-art open and closed source methods in terms of ID consistency, realism, and text-video alignment.

Wan2.1 is an open-source suite of advanced video foundation models designed to push the boundaries of video generation. This cutting-edge model excels in various tasks, including Text-to-Video, Image-to-Video, Video Editing, and Text-to-Image, offering state-of-the-art performance across multiple benchmarks. Wan2.1 is compatible with consumer-grade GPUs, making it accessible to a broader audience, and supports multiple languages, including both Chinese and English for text generation. The model's powerful video VAE (Variational Autoencoder) ensures high efficiency and excellent temporal information preservation, making it ideal for generating high-quality video content. Its applications span across entertainment, marketing, and more.

Qwen3.8-Flash-Next is an open-weight multimodal Mixture-of-Experts model and an early preview of the architecture planned for Qwen4. It systematically upgrades attention, residual connections, embeddings, and optimization to improve capability, computational efficiency, model capacity, and training stability. Its hybrid architecture combines Gated DeltaNet, which efficiently compresses historical information, with Qwen Sparse Attention, which selects important context at the micro-block level to reduce attention and indexing costs on long sequences. Gated Residual widens the residual stream into four branches and dynamically controls information flow across layers, while N-gram Embedding adds large-scale local-pattern memory with very little extra per-token computation and can be offloaded to host memory. The model uses a 125B-parameter main network plus 51B N-gram embedding parameters, while activating only 6B parameters per token.

Mistral Large 3 is a next-generation, open multimodal AI model built with a powerful sparse Mixture-of-Experts architecture featuring 41B active parameters out of 675B total. Designed from scratch on NVIDIA H200 GPUs, it delivers frontier-level reasoning, multilingual performance, and advanced image understanding while remaining fully open-weight under the Apache 2.0 license. The model achieves top-tier results on modern instruction benchmarks, positioning it among the strongest permissively licensed foundation models available today. With native support across vLLM, TensorRT-LLM, and major cloud providers, Mistral Large 3 offers exceptional accessibility and performance efficiency. Its design enables enterprise-grade customization, letting teams fine-tune or adapt the model for domain-specific workflows and proprietary applications. Mistral Large 3 represents a major advancement in open AI, offering frontier intelligence without sacrificing transparency or control.

HeyFish.ai is an AI-powered video ad creation platform that lets users generate hyper-realistic UGC-style video ads in minutes by turning text scripts into polished ads without filming, editing, or production crews. It provides a library of 300+ realistic digital human AI actors across diverse ages, ethnicities, and styles, supports over 40 languages with natural voiceovers and accurate lip-sync, and outputs broadcast-quality 4K video that is optimized for major social and advertising platforms like TikTok, Meta (Facebook & Instagram), YouTube Shorts, Snapchat, and Amazon Ads. It includes one-click generation from script to finished ad, voice cloning from just 30 seconds of audio for brand consistency, brand customization with logos, colors, and fonts, and exclusive dual-person digital human templates that can hold and showcase real products. Users can browse templates, filter actors, customize backgrounds, choose voices and languages, and export or publish videos directly.

Superscale is an AI-powered marketing platform designed to create, test, and scale high-performing advertising campaigns from a single interface, transforming the way teams execute go-to-market strategies. It allows users to generate complete marketing campaigns by simply inputting a product URL, after which the system analyzes the product, market, and positioning to produce messaging, creatives, and audience strategies tailored to the business. It combines multiple capabilities, including AI-generated video ads, copywriting, and creative asset production, enabling users to launch ready-to-run campaigns in minutes instead of weeks. It features a built-in studio where users can refine scripts, edit scenes, customize visuals, and control elements such as captions, pacing, and audio, while AI handles the heavy production work.

Qwen3.8-Omni-Flash is a next-generation native omnimodal model designed to strengthen agent capabilities in real-world productivity scenarios, advancing from understanding multimodal content to planning tasks, calling tools, and completing creative work. Built on the Qwen3.8-Flash-Next architecture, it accepts text, image, audio, and video inputs with a context window of up to 1 million tokens while maintaining strong text performance. Beyond coding, knowledge work, and GUI interaction, it extends agentic workflows centered on audio and video, including video editing, music video creation, film production and commentary, audiovisual summarization, and real-time conversations. The model improves long-form audio and audiovisual understanding through controllable descriptions, agentic evidence gathering, meeting understanding, and video-centered deep research. Users can specify the subject, time range, level of detail, and output format for video analysis, enabling overviews, etc.

Vmake Labs, formerly Vmake AI, is an AI-powered video creation and editing platform designed for social media content, digital marketing, and ecommerce. The platform enables users to generate videos from text, images, and existing footage using artificial intelligence models. Its editing tools include video enhancement, resolution upscaling, background removal, watermark removal, automatic captions, and audio noise reduction. Vmake Labs also provides AI avatars, product showcase videos, video translation, and tools for recreating popular social media video styles. Image editing capabilities include AI image generation, background removal, object removal, image enhancement, and thumbnail creation. The platform supports content production for TikTok, Instagram Reels, YouTube Shorts, and ecommerce marketing through browser-based tools and a mobile application.

Anijam.ai is an AI animation agent that helps anyone create anime and animated videos. Our platform’s key strengths include one-click AI animation generation, seamless character consistency across all scenes, accurate auto lip-syncing, and the integration of top-tier AI models - all streamlined into an intuitive, user-friendly workflow.

Novoads is an AI UGC video ad studio. Write a script or let the AI write it (hook, body and CTA), pick one of 100+ AI actors, and generate a vertical or horizontal ad in minutes, with no filming, no creators and no studio. Actors can hold and demo your real product on camera, and you can create your own actor from a photo. Videos render on current models including Seedance 2.5, Seedance 2.0, Kling v3 Pro, Google Veo 3.1 and Omni Flash; the same credits also cover product photos, talking actors and AI voiceovers in 31 languages. Every plan includes HD download, commercial rights, a REST API, an MCP connector and a Claude Code skill pack. Plans: Starter $15/month (200 credits), Plus $49/month (1,000 credits) and Ultra from $129/month (3,000 credits). Plus and Ultra can also be paid yearly. No trial; cancel anytime.

NVIDIA Nemotron 3.5 Transcribe is an open-weight speech and audio model for developers building transcription and audio-processing systems. It converts recordings into text and supports verbatim or edited transcription, contextual vocabulary, speaker attribution, word-level timestamps, speech translation, language identification, and audio question answering. Its language matrix covers 40 languages, with task coverage varying by language. The model can process recordings up to one hour and is designed for offline inference using compatible NVIDIA GPU hardware and supported runtimes. Teams can integrate it into speech interfaces, meeting and media processing, customer-service analytics, translation tools, and other audio-understanding applications. Model weights and a fine-tuning toolkit are released under the OpenMDW-1.1 license; hardware and serving requirements depend on deployment.

Magic Hour is an all-in-one AI video, image, and audio creation platform for creators, marketers, agencies, ecommerce teams, and developers. Create and edit content in your browser with 100+ tools, including AI video generation, text-to-video, image-to-video, video-to-video, face swap, lip sync, talking photo, AI image generation and editing, virtual try-on, image upscaling, voice generation, and automatic subtitles. Start free without signing up; no download is required. Paid plans add watermark-free exports, commercial usage rights, higher limits, and API access. Developers can automate media generation with the REST API, official SDKs, webhooks, and hosted MCP server for Claude, Claude Code, and Codex. Credits roll over, and generation errors automatically refund credits. Magic Hour serves more than 3 million creators worldwide and works on desktop and mobile web.

Janus-Pro-7B is an innovative open-source multimodal AI model from DeepSeek, designed to excel in both understanding and generating content across text, images, and videos. It leverages a unique autoregressive architecture with separate pathways for visual encoding, enabling high performance in tasks ranging from text-to-image generation to complex visual comprehension. This model outperforms competitors like DALL-E 3 and Stable Diffusion in various benchmarks, offering scalability with versions from 1 billion to 7 billion parameters. Licensed under the MIT License, Janus-Pro-7B is freely available for both academic and commercial use, providing a significant leap in AI capabilities while being accessible on major operating systems like Linux, MacOS, and Windows through Docker.

Qwen3.5 is a next-generation open-weight multimodal large language model designed to power native vision-language agents. The flagship release, Qwen3.5-397B-A17B, combines a hybrid linear attention architecture with sparse mixture-of-experts, activating only 17 billion parameters per forward pass out of 397 billion total to maximize efficiency. It delivers strong benchmark performance across reasoning, coding, multilingual understanding, visual reasoning, and agent-based tasks. The model expands language support from 119 to 201 languages and dialects while introducing a 1M-token context window in its hosted version, Qwen3.5-Plus. Built for multimodal tasks, it processes text, images, and video with advanced spatial reasoning and tool integration. Qwen3.5 also incorporates scalable reinforcement learning environments to improve general agent capabilities. Designed for developers and enterprises, it enables efficient, tool-augmented, multimodal AI workflows.

Qwen3.8-27B is a compact open-weights model in Alibaba’s Qwen3.8 family, aimed at developers and researchers who want strong local AI performance without using the full Max-scale model. Reports from Alibaba’s Qwen3.8 launch state that Qwen3.8-27B was planned for open-weight release alongside Qwen3.8-Max, expanding access for builders working on AI applications. The model is positioned for coding, research, professional workflows, and local deployment scenarios where a 27B model can be more practical than frontier-scale systems. Qwen3.8’s broader launch emphasizes software development, document processing, data analysis, and professional “cowork” use cases. Qwen3.8-27B is especially relevant for teams that need a capable open model for experimentation, coding agents, assistant workflows, and self-hosted inference. Built for practical deployment, Qwen3.8-27B gives developers a smaller Qwen3.8 option for building AI tools, testing agents, and running advanced language model workflows.

Generate conversion-focused video ad creatives in seconds from your URL with the power of AI. Get better results while saving time. Our video generator extracts data & visual assets from your link in one click. No complex skills are needed to edit videos & animations! Motionshift streamlines your production process with pre-animated & pre-composed templates: swap objects, and type in your text to produce high-converting on-brand videos & ads instantly. Create videos seamlessly with 100k+ free high-quality videos, 1000+ free high-quality 3D models, 100+ free animated text libraries, and 100k+ copyright-free music. Get contextually relevant suggestions with our algorithms that can analyze visual and audio elements of videos, 3D models, and music.

Arcads is an AI video ad creation platform that helps marketers build, edit, localize, and launch high-performing ads without juggling multiple tools. The platform includes a library of more than 1,000 AI actors and lets users create custom AI avatars that can hold products, show apps, wear clothing, and appear in UGC-style video ads. Arcads offers AI tools for video generation, actor swapping, captions, background removal, product showcases, translations, frame extraction, transcription, video extension, voice changes, and talking actors. Users can choose from multiple AI models and proven ad presets to create videos for ecommerce, SaaS, mobile apps, lead generation, agencies, insurance, real estate, and law firms. Its Create Workflow feature brings ad workflows into an infinite canvas so teams can create, test, and scale campaigns faster together.

Ad Studio is Brevo’s web-based tool for creating paid and social advertising assets for ecommerce products. Users can provide a product-page link or product details and images, then generate static ad creatives and short videos, including creator-style clips with AI presenters. Brand settings such as logo, colors, fonts, and tone can be applied to assets. The workflow supports common feed and vertical social formats so teams can prepare variants for placements such as Stories, Reels, and TikTok. Ad Studio is aimed at ecommerce founders, online stores, and small marketing teams producing product advertising. It is billed separately from other Brevo plans. Access currently requires an eligible Brevo account connected to ecommerce data through a store integration or API.

HunyuanWorld-1.0 is an open source AI framework and generative model developed by Tencent Hunyuan that creates immersive, explorable, and interactive 3D worlds from text prompts or image inputs by combining the strengths of 2D and 3D generation techniques into a unified pipeline. At its core, the project features a semantically layered 3D mesh representation that uses 360° panoramic world proxies to decompose and reconstruct scenes with geometric consistency and semantic awareness, enabling the creation of diverse, coherent environments that can be navigated and interacted with. Unlike traditional 3D generation methods that struggle with either limited diversity or inefficient data representations, HunyuanWorld-1.0 integrates panoramic proxy generation, hierarchical 3D reconstruction, and semantic layering to balance high visual quality and structural integrity while enabling exportable meshes compatible with common graphics workflows.

DeepSeek-V4.1-Flash-1017 is an open-weight multimodal artificial intelligence model developed by DeepSeek for advanced reasoning, software engineering, visual understanding, and autonomous AI agent workflows. Released on October 17, 2026, it builds on DeepSeek-V4.1-Flash with improvements in coding performance, agentic task execution, and reasoning efficiency. The model supports text and image inputs, tool calling, configurable reasoning effort, and multistep problem-solving. Its one-million-token context window enables developers to process lengthy documents, extensive codebases, and complex sequences of instructions. DeepSeek-V4.1-Flash-1017 also supports end-to-end software development, including application generation, debugging, automated testing, and interactive project creation. The model is available through the DeepSeek API and downloadable weights under the MIT License, supporting both hosted and self-managed deployment.

Pletor is a web-based AI creative production platform for commerce brands, marketing teams, agencies, retailers, and creative professionals. It combines image, video, and text generation models with brand context and reusable workflows to help teams create product imagery, ads, AI-generated UGC-style content, and campaign variations. Users can store brand rules, product information, and creative references in a persistent Brain, then build or run Flows to repeat production tasks across products, formats, languages, and markets. The platform includes team collaboration and batch processing, and workflows can be operated in Pletor or through compatible AI assistants using Model Context Protocol (MCP). Plans provide monthly credits, with top-ups and enterprise options that include SSO, custom data hosting, onboarding, and support.