ai ml4 min read

PaddleOCR 3.5: Running OCR and Document Parsing Tasks with a Transformers Backend

AI Summary

PaddleOCR 3.5 introduces a flexible inference-engine interface enabling supported models like PP-OCRv5 and PaddleOCR-VL 1.5 to use Hugging Face Transformers as a backend. Developers can configure backend-specific options like dtype, device placement, and attention implementations through engine_config, reducing integration friction for RAG and Document AI workflows.

Key Takeaways

  • PaddleOCR 3.5 adds a flexible inference-engine interface using the engine parameter and engine_config.
  • The default paddle_static backend is still recommended when maximizing OCR or document parsing throughput.
  • The integration supports model series like PP-OCRv5 and PaddleOCR-VL 1.5.

Why it matters

Integrating PaddleOCR with a Transformers backend allows developers to streamline document ingestion pipelines—turning complex PDFs, tables, and layouts into structured data—while fitting naturally into existing PyTorch and Hugging Face-centered architectures.

# PaddleOCR# Transformers# Document AI# OCR
Read Full Article atHugging Face Blog

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