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Searching for: optical character recognition

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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.

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.

Automatic speech recognition model that transcribes speech in lower case English with record-setting accuracy and performance

Generates consistent characters across a series of images without requiring additional training.

Creates diverse synthetic data that mimics the characteristics of real-world data.

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