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Description
DeepSeek-OCR is an open-source framework that focuses on Contexts Optical Compression, aimed at pushing the limits of visual-text compression and examining the role of vision encoders through an LLM-focused lens. This innovative model effectively compresses extensive contexts via optical 2D mapping, utilizing DeepEncoder as its primary engine and DeepSeek3B-MoE-A570M as the decoding mechanism. With a capacity to maintain low activations under high-resolution inputs, DeepEncoder achieves impressive compression ratios, allowing for a manageable number of vision tokens essential for understanding documents. The system is optimized for OCR and document parsing tasks related to images and PDFs, featuring inference options through vLLM or Transformers. Users have the flexibility to execute image OCR with streaming outputs, handle PDFs with high concurrency, or conduct batch evaluations for benchmarking purposes. Additionally, DeepSeek-OCR is capable of transforming documents into Markdown format, enabling free OCR without the constraints of layouts, parsing figures, providing detailed image descriptions, and pinpointing referenced text within images, thereby enhancing its utility across various applications. This versatility positions DeepSeek-OCR as a valuable tool for anyone needing advanced document processing capabilities.
Description
Yandex Vision OCR is capable of identifying and extracting text from images while also adding automatic punctuation to the output. This advanced service can automatically recognize and support over 50 languages. It efficiently extracts standard fields and processes text from various templates and documents, including passports, driver’s licenses, vehicle registration certificates, and license plates. The system is proficient in handling both Russian and English languages, accommodating combinations of handwritten and printed texts seamlessly. It also intelligently analyzes table structures, delivering text in organized row and column formats. In addition to optical character recognition (OCR) and document identification, it includes functionalities for recognizing license plate numbers. Yandex Vision OCR supports file formats such as JPEG, PNG, and PDF, with a maximum file size limit of 20 MB and up to 300 pages per document. Notably, the service can effectively scan images to locate passports from 20 different countries, along with various types of driver’s licenses, vehicle registration papers, and license plates, making it a versatile tool for document processing. Overall, it enhances efficiency in text recognition tasks across a wide range of applications.
API Access
Has API
API Access
Has API
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
DeepSeek
Founded
2023
Country
China
Website
github.com/deepseek-ai/DeepSeek-OCR
Vendor Details
Company Name
Yandex
Founded
1997
Country
Russia
Website
cloud.yandex.com/en/services/vision
Product Features
Product Features
Computer Vision
Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration
OCR
Batch Processing
Convert to PDF
ID Scanning
Image Pre-processing
Indexing
Metadata Extraction
Multi-Language
Multiple Output Formats
Text Editor
Zone Selection Tool