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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

GLM-OCR is an advanced multimodal optical character recognition system and an open-source framework that excels in delivering precise, efficient, and thorough document comprehension by integrating textual and visual elements within a cohesive encoder-decoder design inspired by the GLM-V series. This model features a visual encoder that has been pre-trained on extensive image-text datasets alongside a streamlined cross-modal connector that channels information into a GLM-0.5B language decoder. It offers capabilities for layout detection, simultaneous recognition of various regions, and structured outputs for diverse content types, including text, tables, formulas, and intricate real-world document formats. Furthermore, it employs Multi-Token Prediction (MTP) loss and robust full-task reinforcement learning techniques to enhance training efficiency, boost recognition accuracy, and improve generalization across various tasks, leading to remarkable performance on significant document understanding challenges. This innovative approach not only sets new benchmarks but also opens up possibilities for further advancements in the field of document analysis.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

DeepSeek
Markdown

Integrations

DeepSeek
Markdown

Pricing Details

Free
Free Trial
Free Version

Pricing Details

Free
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

Z.ai

Founded

2019

Country

China

Website

github.com/zai-org/GLM-OCR

Product Features

OCR

Batch Processing
Convert to PDF
ID Scanning
Image Pre-processing
Indexing
Metadata Extraction
Multi-Language
Multiple Output Formats
Text Editor
Zone Selection Tool

Product Features

OCR

Batch Processing
Convert to PDF
ID Scanning
Image Pre-processing
Indexing
Metadata Extraction
Multi-Language
Multiple Output Formats
Text Editor
Zone Selection Tool

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