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MODEL Listed

TeleOCR

TeleOCR is an image-text-to-text model that extracts and understands text from images, making it useful for OCR, document parsing, and multilingual text recognition tasks. Built by StarDoc-AI and hosted on Hugging Face, it supports integration into existing ML pipelines via standard transformer APIs. It's particularly handy for developers working with scanned documents, forms, or any workflow needing structured text extraction from visual input. Compared to traditional OCR engines, TeleOCR leverages deep learning to better handle complex layouts and varied fonts. With Apache 2.0 licensing, it's suitable for both research and commercial use. Always check the model card for specific capabilities and limitations before deployment.

StarDoc-AIimage text to text
View model source
01 / MODEL CARD

Model card

TeleOCR is an image-text-to-text model that extracts and understands text from images, making it useful for OCR, document parsing, and multilingual text recognition tasks. Built by StarDoc-AI and hosted on Hugging Face, it supports integration into existing ML pipelines via standard transformer APIs. It's particularly handy for developers working with scanned documents, forms, or any workflow needing structured text extraction from visual input. Compared to traditional OCR engines, TeleOCR leverages deep learning to better handle complex layouts and varied fonts. With Apache 2.0 licensing, it's suitable for both research and commercial use. Always check the model card for specific capabilities and limitations before deployment.

Model typeimage text to text
ProviderStarDoc-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/StarDoc-AI/TeleOCR
View model source
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: StarDoc-AI/TeleOCR
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 StarDoc-AI/TeleOCR
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 StarDoc-AI/TeleOCR 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('StarDoc-AI/TeleOCR')
Clone with Git

Make sure Git LFS is installed correctly.

git lfs install
git clone https://www.modelscope.cn/StarDoc-AI/TeleOCR.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/StarDoc-AI/TeleOCR.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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