Feature Request: support PaddleOCR-VL

[wqerrewetw]

Prerequisites

• I am running the latest code. Mention the version if possible as well.
• I carefully followed the README.md.
• I searched using keywords relevant to my issue to make sure that I am creating a new issue that is not already open (or closed).
• I reviewed the Discussions, and have a new and useful enhancement to share.

Feature Description

https://huggingface.co/PaddlePaddle/PaddleOCR-VL

PaddleOCR-VL is a SOTA and resource-efficient model tailored for document parsing. Its core component is PaddleOCR-VL-0.9B, a compact yet powerful vision-language model (VLM) that integrates a NaViT-style dynamic resolution visual encoder with the ERNIE-4.5-0.3B language model to enable accurate element recognition. This innovative model efficiently supports 109 languages and excels in recognizing complex elements (e.g., text, tables, formulas, and charts), while maintaining minimal resource consumption. Through comprehensive evaluations on widely used public benchmarks and in-house benchmarks, PaddleOCR-VL achieves SOTA performance in both page-level document parsing and element-level recognition. It significantly outperforms existing solutions, exhibits strong competitiveness against top-tier VLMs, and delivers fast inference speeds. These strengths make it highly suitable for practical deployment in real-world scenarios.

Motivation

OCR

Possible Implementation

No response

[wqerrewetw]

https://huggingface.co/PaddlePaddle/PaddleOCR-VL/discussions/2#68f1bb149e541148eac04f60

[sxch775-work]

same request

[huangye123]

same request

[earthquake02]

This model is truly impressive — both its capabilities and efficiency are very appealing.

[smileyboy2019]

When will it be supported
It seems that qwen3-vl-4b is also not available