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 files and versions
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.
breezedeus/pix2text-mfrInstall the CLI and SDK dependency before downloading.
pip install modelscopeDownload the complete weights, configuration and model card.
modelscope download --model breezedeus/pix2text-mfrREADME.md is used as an example; replace it with another repository file when needed.
modelscope download --model breezedeus/pix2text-mfr README.md --local_dir ./dirUseful in Python projects and automation scripts.
from modelscope import snapshot_download
model_dir = snapshot_download('breezedeus/pix2text-mfr')Make sure Git LFS is installed correctly.
git lfs install
git clone https://www.modelscope.cn/breezedeus/pix2text-mfr.gitFetch the repository structure first, then pull large files when needed.
GIT_LFS_SKIP_SMUDGE=1 git clone https://www.modelscope.cn/breezedeus/pix2text-mfr.gitHow to use
- 01Step 1
Read the model card and source information.
- 02Step 2
Start with a small, non-sensitive evaluation.
- 03Step 3
Review quality, licensing and usage limits.
- 04Step 4
Adopt it only after validation.
Discussions
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