AlibabaResearch/AdvancedLiterateMachinery

Health v2 · maintenance only

Adoption not part of the score

1834 stars · 197 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of original OCR and document understanding models, algorithms, and benchmarks from Alibaba's Tongyi Lab, including models like Platypus and the CC-OCR benchmark for evaluating large multimodal models. It provides research code and pretrained models for reading text from images and documents.

Use cases

• extract text from images with ocr
• recognize scene text in photos
• parse and understand documents
• evaluate multimodal llms on ocr benchmarks
• extract key information from scanned documents
• generate synthetic images containing text
• multilingual text recognition

When to choose

• you need state-of-the-art OCR or document parsing models
• you want to benchmark large multimodal models on OCR tasks
• you are researching scene text detection, recognition, or visual text generation
• you need key information extraction from documents

When to avoid

• you need a simple production OCR API with commercial support
• you want a lightweight plug-and-play text extraction tool without GPU resources
• your project is unrelated to text reading or document intelligence

Facets

library · maturity active

ocr computer-vision machine-learning nlp data-science computer-vision artificial-intelligence image-processing pdf python cpp document-ai scene-text-recognition vision-language-models benchmark research-code multimodal natural-language-processing linux gpu

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