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Searching for: Optical Character Recognition

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An edge computing AI model which accepts text, audio and image input, ideal for resource-constrained environments

An edge computing AI model which accepts text, audio and image input, ideal for resource-constrained environments

Cutting-edge vision-language model exceling in retrieving text and metadata from images.

Cutting-edge open multimodal model exceling in high-quality reasoning from image and audio inputs.

Robust Speech Recognition via Large-Scale Weak Supervision.

Multi-lingual model supporting speech-to-text recognition and translation.

Model for table extraction that receives an image as input, runs OCR on the image, and returns the text within the image and its bounding boxes.

OCDNet and OCRNet are pre-trained models designed for optical character detection and recognition respectively.