OCR Datasets

500,000 high-resolution images featuring multilingual Optical Character Recognition (OCR) data across both natural scenes and various document types. This dataset spans 20 languages, including Traditional Chinese, Simplified Chinese, Japanese, Korean, Thai, Vietnamese, Indonesian, Malay, Polish, and more. The data covers a wide range of real-world conditions—natural scenes, printed documents, handwritten notes, signs, and posters—captured from multiple countries and environments, with varied backgrounds, lighting conditions, and camera angles. All images are annotated for OCR tasks, making this dataset highly suitable for training deep learning models for text detection, recognition, and layout analysis in multi-language scenarios. The dataset complies with global data protection standards (GDPR, CCPA, PIPL), and is validated by leading AI enterprises for commercial and research applications.

30,000 natural scene OCR data for minority languages in Southeast Asia, including Khmer (Cambodia), Lao and Burmese. The diversity of collection includes a variety of natural scenes and a variety of shooting angles. This set of data can be used for Southeast Asian language OCR tasks.

14,980 Images PPT OCR Data of 8 Languages. This dataset includes 8 languages, multiple scenes, different photographic angles, different photographic distances, different light conditions. For annotation, line-level quadrilateral bounding box annotation and transcription for the texts were annotated in the data. The dataset can be used for tasks such as OCR of multi-language.

101 People - 4,538 Images Japanese Handwriting OCR Data. The text carrier is A4 paper. The dataset content includes social livelihood, entertainment, tour, sport, movie, composition and other fields. For annotation, character-level rectangular bounding box annotation and text transcription and line-level rectangular bounding box annotation and text transcription were adopted. The dataset can be used for tasks such as Japanese handwriting OCR.

5,147 Images Japanese Handwriting OCR Data. The text carrier are A4 paper, lined paper, quadrille paper, etc. The device is cellphone, the collection angle is eye-level angle. The dataset content includes Japanese composition, poetry, prose, news, stories, etc. For annotation, line-level quadrilateral bounding box annotation and transcription for the texts were annotated in the data.The dataset can be used for tasks such as Japanese handwriting OCR.

100 People - Handwriting OCR Data of Japanese and Korean,. This dadaset was collected from 100 subjects including 50 Japanese, 49 Koreans and 1 Afghan. For different subjects, the corpus are different. The data diversity includes multiple cellphone models and different corpus. This dataset can be used for tasks, such as handwriting OCR data of Japanese and Korean.

105,941 Images Natural Scenes OCR Data of 12 Languages. The data covers 12 languages (6 Asian languages, 6 European languages), multiple natural scenes, multiple photographic angles. For annotation, line-level quadrilateral bounding box annotation and transcription for the texts were annotated in the data. The data can be used for tasks such as OCR of multi-language.

497 Images – English Invoice Data，the collection background is a solid color background, and personal information is desensitized, including various types of invoices, which can be used for tasks such as bill recognition and text recognition.

71,535 Images English OCR Data in Natural Scenes. The collecting scenes of this dataset are the real scenes in Britain and the United States. The data diversity includes multiple scenes, multiple photographic angles and multiple light conditions. For annotation, line-level & word-leve & character-level rectangular bounding box or quadrilateral bounding box annotation were adopted, the text transcription was also adopted. The dataset can be used for English OCR tasks in natural scenes.