PP-OCRv5_server_det

About

What PP-OCRv5_server_det is

PP-OCRv5serverdet Introduction PP-OCRv5serverdet is one of the PP-OCRv5det series, the latest generation of text detection models developed by the PaddleOCR team. Designed for high-performance applications, it supports the detection of text in diverse scenarios—including handwriting, vertical, rotated, and curved text—across multiple languages such as Simplified Chinese, Traditional Chinese, English, and Japanese. Key features include robust handling of complex layouts, varying text sizes, and challenging backgrounds, making it suitable for practical applications like document analysis, license plate recognition, and scene text detection. The key accuracy metrics are as follow: Quick Start Installation 1. PaddlePaddle Please refer to the following commands to install PaddlePaddle using pip: For details about PaddlePaddle installation, please refer to the PaddlePaddle official website. 2. PaddleOCR Install the latest version of the PaddleOCR inference package from PyPI: Model Usage You can quickly experience the functionality with a single command: You can also integrate the model inference of the text detection module into your project. Before running the following code, please download the sample image to your local machine. After running, the obtained result is as follows: The visualized image is as follows: For details about usage command and descriptions of parameters, please refer to the Document. Pipeline Usage The ability of a single model is limited. But the pipeline consists of several models can provide more capacity to resolve difficult problems in real-world scenarios. PP-OCRv5 The general OCR pipeline is used to solve text recognition tasks by extracting text information from images and outputting it in text form. And there are 5 modules in the pipeline: Document Image Orientation Classification Module (Optional) Text Image Unwarping Module (Optional) Text Line Orientation Classification Module (Optional) Text Detection Module Text Recognition Module Run a single command to quickly experience the OCR pipeline: Results are printed to the terminal: If savepath is specified, the visualization results will be saved under savepath. The visualization outp

Summarised from the published model card. Read the full card on the HuggingFace links below.

Specifications

What it is

How it works

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Variants

Sizes & precisions

Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys pp-ocrv5-server-det for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (pp-ocrv5-server-det below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/chat/completions \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"pp-ocrv5-server-det","messages":[{"role":"user","content":"Hello"}]}'

Details

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Papers

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Open weights

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