PaddleOCR vs llm-app
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| PaddleOCR | llm-app | |
|---|---|---|
| Tagline | PaddleOCR: A powerful OCR toolkit for transforming PDFs/images into structured data | Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. |
| Stars | 85k | 59k |
| Forks | 11k | 1.4k |
| Open issues | 221 | 10 |
| Language | Python | Jupyter Notebook |
| License | Apache-2.0 | MIT |
| Last pushed | Jun 26, 2026 | Jul 5, 2026 |
| Categories | Data & Retrieval | Data & Retrieval, LLM Frameworks |
PaddleOCR
A lightweight OCR toolkit that converts images/PDF documents into LLM-friendly structured data formats like JSON or Markdown, supporting over 100 languages. Features include document parsing with vision-language models and multilingual text recognition.
Python
llm-app
Pathway Live Data Framework AI Pipelines provides LLM App Templates for deploying high-accuracy retrieval-augmented generation (RAG) and enterprise search applications. The templates sync with various data sources including file systems, Google Drive, Sharepoint, S3, Kafka, PostgreSQL, real-time APIs.
Jupyter Notebook