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.

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

Record-setting accuracy and performance for English transcription.

State-of-the-art accuracy and speed for English transcriptions.

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.