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MODEL Listed

DeepSeek OCR 2

DeepSeek OCR 2 is a specialized vision-language model engineered to bridge the gap between raw image data and structured text. Unlike traditional OCR engines that rely on rigid layout analysis, this model treats document parsing as a generative task, allowing it to handle complex tables, multi-column layouts, and handwritten notes with higher contextual accuracy. For developers, it serves as a robust backend for automating data extraction pipelines, digitizing legacy archives, or building RAG systems that require precise ingestion of PDF and image-based documents. It integrates easily into existing AI workflows via API, offering a competitive alternative to proprietary vision models by balancing high-fidelity transcription with efficient inference speeds under an Apache-2.0 license.

deepseek-aiocr
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01 / MODEL CARD

Model card

DeepSeek OCR 2 is a specialized vision-language model engineered to bridge the gap between raw image data and structured text. Unlike traditional OCR engines that rely on rigid layout analysis, this model treats document parsing as a generative task, allowing it to handle complex tables, multi-column layouts, and handwritten notes with higher contextual accuracy. For developers, it serves as a robust backend for automating data extraction pipelines, digitizing legacy archives, or building RAG systems that require precise ingestion of PDF and image-based documents. It integrates easily into existing AI workflows via API, offering a competitive alternative to proprietary vision models by balancing high-fidelity transcription with efficient inference speeds under an Apache-2.0 license.

Model typeocr
Providerdeepseek-ai
Licenseapache-2.0
02 / FILES & VERSIONS

Model files and versions

Model cardModel description and metadata available in this entry
Listed
Source repositoryhttps://huggingface.co/deepseek-ai/DeepSeek-OCR-2
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Version informationUse the source repository for the latest version
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03 / DOWNLOAD

Download this model

We recommend using the ModelScope CLI or SDK. Install ModelScope first, then choose a full snapshot, single file, SDK or Git LFS workflow.

This entry points to Hugging Face. The commands use the matching ModelScope repository format; confirm that the repository exists on ModelScope before running them. Model repository: deepseek-ai/DeepSeek-OCR-2
Install ModelScope

Install the CLI and SDK dependency before downloading.

pip install modelscope
Download the full model repository

Download the complete weights, configuration and model card.

modelscope download --model deepseek-ai/DeepSeek-OCR-2
Download one file to a local directory

README.md is used as an example; replace it with another repository file when needed.

modelscope download --model deepseek-ai/DeepSeek-OCR-2 README.md --local_dir ./dir
Download with the SDK

Useful in Python projects and automation scripts.

from modelscope import snapshot_download
model_dir = snapshot_download('deepseek-ai/DeepSeek-OCR-2')
Clone with Git

Make sure Git LFS is installed correctly.

git lfs install
git clone https://www.modelscope.cn/deepseek-ai/DeepSeek-OCR-2.git
Clone without downloading LFS blobs

Fetch the repository structure first, then pull large files when needed.

GIT_LFS_SKIP_SMUDGE=1 git clone https://www.modelscope.cn/deepseek-ai/DeepSeek-OCR-2.git
04 / WORKFLOW

How to use

  1. 01
    Step 1

    Read the model card and source information.

  2. 02
    Step 2

    Start with a small, non-sensitive evaluation.

  3. 03
    Step 3

    Review quality, licensing and usage limits.

  4. 04
    Step 4

    Adopt it only after validation.

05 / DISCUSSIONS

Discussions

Use this space to keep checking source information, usage experience and maintenance status.

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