Turn PDFs and images into structured Markdown or JSON data for LLMs.
A powerful OCR toolkit bridging the gap between images, PDFs, and LLMs across 100+ languages.
PaddleOCR is a document AI engine that extracts text, tables, and formulas from PDFs and images into structured Markdown or JSON. It suits AI and content professionals building retrieval-augmented generation or agentic workflows.
It parses complex documents using vision-language models like PaddleOCR-VL and the PP-StructureV3 engine for fine-grained coordinate mapping. It also provides universal text recognition across 100+ languages through unified PP-OCR models.
It suits machine learning engineers and developers building document processing pipelines or RAG applications. It is not built for non-technical users looking for a plug-and-play desktop PDF converter.
Transforms visual layouts into structured Markdown and JSON formats.
Supports 50 languages in a single model without requiring model switching.
Extracts detailed coordinate information including table cells and text blocks.
Deploys across NVIDIA GPUs, Intel CPUs, Kunlunxin XPUs, and various accelerators.
Free under the Apache-2.0 licence, with no paid hosted option mentioned in the repository. The only cost is running the hardware infrastructure yourself.
880 open remote AI-training roles, updated November 15, 2026; most pay $20–$175 an hour. Zekai lists them free; the application goes to the employer’s platform.
It outputs structured data in Markdown and JSON formats, complete with layout and coordinate details.
Yes, it supports CPU deployment alongside various hardware backends like GPUs and XPUs.
See Zekai first in Google