# PaddleX

> Low-code development tool built on PaddlePaddle that bundles pretrained model pipelines for OCR, vision, time series, speech and video, covering training through deployment.

PaddleX 3.0 is a low-code development tool built on the PaddlePaddle framework and published by the PaddlePaddle organization. It integrates pretrained models and supports end-to-end development from training to inference across several mainstream hardware platforms. The project is open source under the Apache 2.0 license, and its documentation lists v3.7.2 as the current release.

## What It Is

PaddleX packages models into task-oriented pipelines, meaning predefined workflows that combine one or more single-function modules. According to the README, it covers 200+ PaddlePaddle models organized into 33 pipelines and 39 single-function modules. Areas include text-image analysis, OCR, object detection, time-series forecasting, speech recognition, video analysis and document-oriented vision-language models.

## Workflow and Usage

Users install PaddlePaddle and then `paddlex[base]` with pip, which requires Python 3.8 to 3.13. A pipeline can be run from the command line with `paddlex --pipeline <name> --input <file> --device <device>`. In Python, `create_pipeline()` and `predict()` return results that can be printed or saved as images, JSON, and, for table pipelines, XLSX or HTML. Pipelines can be fine-tuned with the secondary development capability when pretrained results are not sufficient.

## Deployment and Hardware

The docs describe high-performance inference, serving deployment, on-device deployment, and ONNX model export. Supported devices include CPU, GPU, Kunlunxin XPU, Ascend NPU, Cambricon MLU and Hygon DCU, selected through the device parameter.

## Recent Updates

The README lists v3.3.0 (October 2025) adding inference and deployment support for PaddleOCR-VL and PP-OCRv5 multilingual models. v3.2.0 added CUDA 12 support for high-performance inference and open-sourced the serving solution. v3.1.0 added the PP-DocTranslation pipeline, which uses PP-StructureV3 and ERNIE 4.5 Turbo.

## Features
- Model pipelines for OCR, table recognition, layout parsing and formula recognition
- Computer vision pipelines for classification, detection and segmentation
- Time-series forecasting, anomaly detection and classification
- Multilingual speech recognition
- Video classification and detection
- Unified CLI and Python API
- High-performance inference, serving and on-device deployment
- ONNX model export
- Secondary development and fine-tuning of pipelines
- Multi-hardware support (CPU, GPU, XPU, NPU, MLU, DCU)

## Integrations
PaddlePaddle, ONNX, Paddle2ONNX, AI Studio, ModelScope, ERNIE 4.5 Turbo, DeepSeek

## Platforms
WINDOWS, MACOS, LINUX, API, DEVELOPER_SDK, CLI

## Pricing
Open Source

## Version
3.7.2

## Links
- Website: https://paddlepaddle.github.io/PaddleX/3.7/en/index.html
- Documentation: https://paddlepaddle.github.io/PaddleX/3.7/en/index.html
- Repository: https://github.com/PaddlePaddle/PaddleX
- EveryDev.ai: https://www.everydev.ai/tools/paddlex