# High-precision character recognition

An ultra-lightweight Cyrillic text line recognition model developed by the PaddleOCR team, trained based on PP-OCRv3_mobile_rec and specifically optimized for Cyrillic script.

An image-to-text model fine-tuned based on Microsoft Florence-2 foundation model, supporting Swedish and English, specializing in historical handwritten text recognition and optical character recognition.

A fine-tuned printed text recognition model based on microsoft/trocr-base-printed, optimized for synthetic OCR datasets

ArOCR is an Arabic Optical Character Recognition (OCR) model capable of converting images containing Arabic text into editable text format.

An automatic speech recognition model fine-tuned on Georgian language datasets based on facebook/wav2vec2-xls-r-1b

This is an automatic speech recognition (ASR) model fine-tuned on the Odia dataset based on facebook/wav2vec2-xls-r-300m, specifically designed for Odia speech-to-text tasks.

An automatic speech recognition model fine-tuned on the Assamese (Common Voice 8.0) dataset based on facebook/wav2vec2-xls-r-300m