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MODEL Listed

pix2text-mfr

pix2text mfr is a specialized image-to-text model designed for high-accuracy mathematical formula recognition. Unlike general OCR, this model focuses on the structural complexity of LaTeX-style notation, making it ideal for digitizing academic papers, technical documentation, and educational content. For developers, it serves as a robust bridge between raw image data and editable markup, streamlining the pipeline for converting screenshots or PDFs into structured mathematical text. It integrates efficiently into document processing workflows where precision in symbolic representation is critical, offering a lightweight alternative to heavy multimodal LLMs for specific formula extraction tasks.

breezedeusimage to text
01 / MODEL CARD

Model card

pix2text mfr is a specialized image-to-text model designed for high-accuracy mathematical formula recognition. Unlike general OCR, this model focuses on the structural complexity of LaTeX-style notation, making it ideal for digitizing academic papers, technical documentation, and educational content. For developers, it serves as a robust bridge between raw image data and editable markup, streamlining the pipeline for converting screenshots or PDFs into structured mathematical text. It integrates efficiently into document processing workflows where precision in symbolic representation is critical, offering a lightweight alternative to heavy multimodal LLMs for specific formula extraction tasks.

Model typeimage to text
Providerbreezedeus
Licensemit
02 / FILES & VERSIONS

Model files and versions

Model cardModel description and metadata available in this entry
Listed
Source repositoryhttps://huggingface.co/breezedeus/pix2text-mfr
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: breezedeus/pix2text-mfr
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 breezedeus/pix2text-mfr
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 breezedeus/pix2text-mfr 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('breezedeus/pix2text-mfr')
Clone with Git

Make sure Git LFS is installed correctly.

git lfs install
git clone https://www.modelscope.cn/breezedeus/pix2text-mfr.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/breezedeus/pix2text-mfr.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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