Everything you need to create show-stopping videos, no expertise required. Automatically create accurate captions in over 80 languages. Our AI technology securely transcribes your video's audio, converting it into readable captions in just minutes. Turn text into speech with one click. CLIP (Contrastive Language-Image Pre-Training) is a neural network trained on a variety of (image, text) pairs. It can be instructed in natural language to predict the most relevant text snippet, given an image, without directly optimizing for the task, similarly to the zero-shot capabilities of GPT-2 and 3. Jan 5, 2021 · CLIP (Contrastive Language–Image Pre-training) builds on a large body of work on zero-shot transfer, natural language supervision, and multimodal learning. Mar 12, 2024 · CLIP is short for Contrastive Language-Image Pretraining. CLIP is an advance AI model that is jointly developed by OpenAI and UC Berkeley. The model is capable of understanding both textual descriptions and images, leveraging a training approach that emphasizes contrasting pairs of images and text. Use Clipchamp to make awesome videos from scratch or start with a template to save time. Edit videos, audio tracks and images like a pro without the price tag. Contrastive Language-Image Pre-training (CLIP) is a technique for training a pair of neural network models, one for image understanding and one for text understanding, using a contrastive objective. [1]