Getimg is an AI workspace for image, video, music, voice, and sound effect creation. According to official instructions, users can use leading AI models within a single workspace to create and edit multiple types of audiovisual assets, without the need for model research or complex setup, and the system will automatically select and invoke the appropriate model for the task when needed.
In terms of main capabilities, Getimg supports generating and editing images, video, music, voice, and sound effects, and provides a Remove Background feature. The officially listed available models include: Nano Banana 2.1, which supports fast Gemini image generation and editing up to 4K and can use up to 14 reference images; FLUX 3, which supports native 2K/4K image generation and editing, with multi-reference identity, local editing, and text editing capabilities; GPT Image 2.5 Flare, which supports automatic-quality image generation and editing; GPT Image 2.5 Sunburst, which also supports automatic-quality image generation and editing; Qwen Image 3.0 Pro, from Alibaba, which supports text-to-image and editing, and can use up to three reference images; Grok Imagine Video 1.5, from xAI, which supports video generation with native audio, image-to-video, and native 1080p. The official information also mentions that video and audio references have been added to some Create Video models.
In terms of usage, the official information emphasizes that these latest AI models are included in one subscription, are always available, and are automatically selected for the current task. Users can complete creation in a unified workspace without having to research models themselves or perform complex configuration. Both teams and individuals can use this workspace to create any type of audio and video material.
In terms of applicable scenarios, according to the official description, Getimg is suitable for individual creators or teams that need to generate or edit images, video, music, voice, and sound effects, especially for users who want to invoke multiple mainstream AI models within one platform and avoid separately researching and configuring multiple models, and it is also suitable for scenarios requiring common image processing tasks such as background removal.
In terms of limitations, the official materials do not provide detailed information about free quotas, specific subscription prices, usage caps for each model, generation speed, commercial licensing scope, or platform system requirements; this content is not currently provided. In addition, the officially listed model names and versions may change over time, and the specific available models and features should be based on the actual platform page.
