DeepSeek-OCR

DeepSeek-OCR

DeepSeek
+
+

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About

DeepSeek-OCR is an open source model for Contexts Optical Compression, built to explore the boundaries of visual-text compression and investigate the role of vision encoders from an LLM-centric viewpoint. It is designed to compress long contexts through optical 2D mapping, using DeepEncoder as the core engine and DeepSeek3B-MoE-A570M as the decoder. DeepEncoder maintains low activations under high-resolution input while achieving high compression ratios, keeping the number of vision tokens manageable for document understanding. The model supports OCR and document parsing workflows for images and PDFs, with inference through vLLM or Transformers. Users can run image OCR with streaming output, process PDFs with high concurrency, or run batch evaluation for benchmarks. DeepSeek-OCR can convert documents to Markdown, perform free OCR without layouts, parse figures, describe images in detail, and locate referenced text inside an image.

About

Oumi is a fully open source platform that streamlines the entire lifecycle of foundation models, from data preparation and training to evaluation and deployment. It supports training and fine-tuning models ranging from 10 million to 405 billion parameters using state-of-the-art techniques such as SFT, LoRA, QLoRA, and DPO. The platform accommodates both text and multimodal models, including architectures like Llama, DeepSeek, Qwen, and Phi. Oumi offers tools for data synthesis and curation, enabling users to generate and manage training datasets effectively. For deployment, it integrates with popular inference engines like vLLM and SGLang, ensuring efficient model serving. The platform also provides comprehensive evaluation capabilities across standard benchmarks to assess model performance. Designed for flexibility, Oumi can run on various environments, from local laptops to cloud infrastructures such as AWS, Azure, GCP, and Lambda.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI researchers and document-processing engineers who need an open OCR model for efficient document parsing, Markdown conversion, and vision-text compression experiments

Audience

Machine learning researchers and developers in need of a platform to build, evaluate, and deploy state-of-the-art AI models

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

DeepSeek
Founded: 2023
China
github.com/deepseek-ai/DeepSeek-OCR

Company Information

Oumi
Founded: 2024
United States
oumi.ai/

Alternatives

GLM-OCR

GLM-OCR

Z.ai

Alternatives

DeepSeek-VL

DeepSeek-VL

DeepSeek
LLaMA-Factory

LLaMA-Factory

hoshi-hiyouga
DeepSeek-V2

DeepSeek-V2

DeepSeek
DeepSeek-V4

DeepSeek-V4

DeepSeek

Categories

Categories

Integrations

DeepSeek
AWS Lambda
Amazon Web Services (AWS)
Google Cloud Platform
Llama
Markdown
Microsoft Azure
Phi-2
Qwen

Integrations

DeepSeek
AWS Lambda
Amazon Web Services (AWS)
Google Cloud Platform
Llama
Markdown
Microsoft Azure
Phi-2
Qwen
Claim DeepSeek-OCR and update features and information
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