 
					
					DeepSeek OCR is an online OCR tool based on a 3B parameter visual-language model, with 97% text extraction accuracy and ultra-low token consumption (100 tokens per page). This tool supports multi-language processing, can quickly convert documents into Markdown format, extract text from images, and parse charts. It uses revolutionary visual compression technology to greatly improve the efficiency and effect of OCR. The product provides free and paid plans, suitable for users with different needs.
Demand group:
"This product is suitable for researchers, developers, enterprise users and other people who need efficient text extraction and document processing. Through its high accuracy and multi-functional support, users can easily process complex documents and improve work efficiency."
Example of usage scenario:
Academic research: Extract full text, mathematical formulas, and diagram descriptions from research papers.
Technical documentation: Convert technical manuals and API documentation into structured Markdown format.
Multilingual Business Documents: Process international contracts, invoices and reports, supporting mixed languages.
Product features:
High-precision text extraction: 97% accuracy, suitable for complex documents.
Multi-language support: Supports multiple languages such as English, Chinese, and Japanese.
Convert the document to Markdown: Keep the original layout and format to facilitate document migration.
Chart and formula analysis: Ability to extract data and complex mathematical formulas from charts.
Self-hosted deployment: Supports Docker and Kubernetes to ensure data privacy and control.
Usage tutorial:
Visit DeepSeek OCR official website.
Choose an online tool to upload your image or PDF document.
Select the desired parsing mode (Tiny, Small, Base, Large, or Gundam).
Click Convert and wait for the processing results.
Download the extracted text or Markdown file.
 
								
								
								 
								
								
								 
								
								
								 
								
								
								 
								
								
							 
								
								
							 
								
								
							