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Multimodal AI is a model or system that works with more than one kind of data, such as text, images, audio and video, in its input, its output or both.

Early language models only read and wrote text. Modern models can look at images and documents, listen to audio and, in some cases, generate images or speech directly.

Often a product is multimodal because it combines several specialised models: an LLM for text, an image model, a video model, a text-to-speech model and a speech-to-text model.

For users the result is one place to describe a picture, read a scanned contract, transcribe a meeting or turn a script into a voiceover.

Multimodal AI in Aikeedo

Aikeedo combines chat, image, video, voiceover, transcription and document reading in one platform, each with its own choice of models and credit rates.

Related terms

Discover more terms connected to this one

Text-to-image (AI image generation)

Text-to-image is AI that creates a picture from a written description, the prompt, and often also edits existing images from instructions.

Read the guide

Text-to-video (AI video generation)

Text-to-video is AI that generates a short video clip from a written prompt, and image-to-video does the same starting from a still image.

Read the guide

Text-to-speech (TTS)

Text-to-speech (TTS) is AI that turns written text into natural-sounding spoken audio in a chosen voice and language.

Read the guide

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