Global AI chat room · 17 online now Join now
D
MODEL Listed

DeepSeek-OCR

DeepSeek OCR is a specialized vision-language model designed to bridge the gap between raw image pixels and structured text. Unlike traditional OCR engines that rely on rigid layout analysis, this model leverages deep learning to handle complex documents, handwritten notes, and non-standard formatting with high fidelity. For developers, this means fewer pre-processing steps and better accuracy on noisy data. It is particularly effective for automating data extraction from invoices, digitizing legacy archives, and building accessible interfaces for visual content. Integration is streamlined via a standard API, allowing it to fit easily into existing RAG pipelines or document processing workflows where precise text recovery is critical.

deepseek-aiimage text to text
View model source
01 / MODEL CARD

Model card

DeepSeek OCR is a specialized vision-language model designed to bridge the gap between raw image pixels and structured text. Unlike traditional OCR engines that rely on rigid layout analysis, this model leverages deep learning to handle complex documents, handwritten notes, and non-standard formatting with high fidelity. For developers, this means fewer pre-processing steps and better accuracy on noisy data. It is particularly effective for automating data extraction from invoices, digitizing legacy archives, and building accessible interfaces for visual content. Integration is streamlined via a standard API, allowing it to fit easily into existing RAG pipelines or document processing workflows where precise text recovery is critical.

Model typeimage text to text
Providerdeepseek-ai
Licensemit
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
View model source
Version informationUse the source repository for the latest version
—
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
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
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 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')
Clone with Git

Make sure Git LFS is installed correctly.

git lfs install
git clone https://www.modelscope.cn/deepseek-ai/DeepSeek-OCR.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.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.

Open source page
Email