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PersonaPlex is NVIDIA's full-duplex speech-to-speech model for live voice conversations. A text prompt sets the agent's role and the facts it uses, and one of 18 preset voices sets how it sounds.

Z.ai's GLM-Image creates and edits pictures by pairing a 9B autoregressive generator with a 7B diffusion decoder. It is built for images that carry a lot of text, such as posters and labeled diagrams.

Google's TranslateGemma 4B applied to images: it reads the writing in a photo, screenshot or scan and returns it translated into the target language as plain text.

Pulls the text out of an image and translates it, using Google's 12B TranslateGemma and a choice of 54 languages. Google reports it beats the original Gemma 3 27B on text (WMT24++), though not on images (Vistra).

Google's largest TranslateGemma model, used here to read the text in a picture and return it in another language. Its card gives it the family's best scores on both text and image translation tests.

The largest model in Google's TranslateGemma family, a 27B Gemma 3 fine-tune that translates text across 55 languages. It has the best scores in the family on every benchmark in Google's model card.

The mid-sized model in Google's TranslateGemma family: Gemma 3 fine-tuned for text translation across 55 languages. Google reports it outperforms the larger Gemma 3 27B baseline on WMT24++.

NVIDIA's 600M-parameter English speech-to-text model, with a cache-aware streaming encoder and an RNN-T decoder. On Wiro it takes one recording and returns the transcript as plain text.

Google's 4B-parameter open translation model, fine-tuned from Gemma 3 for text in 55 languages. Google reports it rivals the larger Gemma 3 12B baseline on WMT24++.

GPT-5 Nano is a GPT-5 model that OpenAI describes as a good fit for summarization and classification. It reads text and up to 10 images and supports function calling, web search and structured output.

AI model for processing text prompts and image inputs with advanced reasoning capabilities. Supports multi-modal inputs and customizable responses.

A compact AI model optimized for text generation tasks, designed for efficient processing and accurate responses.

The undistilled 9B base model of FLUX.2 [klein], for text-to-image and editing with up to 4 reference images, aimed at research and fine-tuning under a non-commercial license.

Undistilled 4B base model of FLUX.2 [klein] for text-to-image and multi-reference editing. Apache 2.0 licensed and built for fine-tuning and research, with more varied outputs than the distilled models.

FLUX.2 Klein 4B is a 4 billion parameter rectified flow transformer from Black Forest Labs that generates images from text and edits with up to 4 reference images. Open weights under Apache 2.0.

Black Forest Labs' 9B FLUX.2 [klein] model, step-distilled to 4 inference steps, that generates images from text and edits them with up to 4 reference images in a single checkpoint.

Redraws the person in one photo as a realistic baby version of themselves, then turns that baby into a dance video with sound. Eight preset routines are available, Baby Dance and Solo Twist among them.

Generate realistic virtual try-on images and videos for fashion products using AI. Supports multiple garment uploads and photography styles.

Animates a still image into a five-second clip with the distilled LTX-2 checkpoint from Lightricks, generating the picture and its soundtrack together, including dialogue written into the prompt.

Turns one photo of a person into a dance video. Pick one of 35 trend routines, such as Mente Ma, Supernova or Six Seven, and the person in the photo performs it.