Structured Text Datasets for Accurate OCR Models

Our OCR datasets integrate multilingual, multi-font and multi-scene text image resources, professionally collected and annotated for high-precision text recognition model training. Covering printed documents, handwritten manuscripts, invoices, licenses, billboards, license plates, packaging texts and other mainstream scenarios, including blurred, inclined, reflective, complex background interference samples.

We support mainstream languages and low-resource language text data, with accurate character positioning, line segmentation and full transcription annotation. All samples are screened for validity, unified in format, and retained original layout and typesetting features to restore real application reading environment.

The dataset contains horizontal, vertical, curved and deformed text samples, adapting diversified OCR recognition challenges.

We provide standard open datasets and exclusive customized collection services for enterprise documents, industry bills and special fonts. Widely applicable to document identification, bill sorting, license recognition, packaging text detection and multilingual text extraction, our OCR training data effectively improves model recognition accuracy in complex backgrounds and special font scenarios.