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Home > All Category Datasets > OCR Datasets > 102,870 Sets - Chinese Instruction Manual OCR&Parsing Data

102,870 Sets - Chinese Instruction Manual OCR&Parsing Data

Instruction document

PDF

102,870 Sets - Chinese Instruction Manual OCR&Parsing Data, including Drug instructions, Installation instructions, Operating Instructions, Product manual, User manual, the annotation files contain OCR annotations and structured parsing.

This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.

Specifications

Specifications

Data Size

102,870 sets

Data Format

The original document file format is PDF, the document image file format is. png, the OCR annotation file format is JSON, and the structured parsing file format is markdown

Data Type

Drug instructions, Installation instructions, Operating Instructions, Product manual, User manual

Sample

Sample

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What types of OCR data does Nexdata provide?

Nexdata provides OCR datasets covering a wide range of data types, including documents, handwriting, invoices, test papers, and forms. The datasets cover diverse languages, layouts, text styles, and real-world scenarios to support OCR model training, text recognition, document analysis, and other document AI applications.

Can Nexdata customize OCR datasets for specific requirements?

Yes. If our off-the-shelf OCR datasets do not fully meet your requirements, Nexdata provides flexible custom data collection, annotation, and quality control services. We can customize datasets based on target languages, document types, handwriting styles, layouts, image conditions, data volume, and annotation specifications for specific OCR applications.

How does Nexdata ensure the quality and scalability of OCR datasets?

Nexdata applies multi-stage quality control throughout data collection, annotation, validation, and delivery. With extensive resources covering documents, handwriting, invoices, test papers, and forms, we can support both large-scale OCR projects and specialized datasets with customized formats, annotation requirements, and quality standards.

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