SomeAI.org
  • Hot AI Tools
  • New AI Tools
  • AI Category
SomeAI.org
SomeAI.org

Discover 10,000+ free AI tools instantly. No login required.

About

  • Blog

© 2025 • SomeAI.org All rights reserved.

  • Privacy Policy
  • Terms of Service
Home
Model Benchmarking
PaddleOCRModelConverter

PaddleOCRModelConverter

Convert PaddleOCR models to ONNX format

You May Also Like

View All
🐠

WebGPU Embedding Benchmark

Measure BERT model performance using WASM and WebGPU

0
🏢

Trulens

Evaluate model predictions with TruLens

1
🏆

Open Object Detection Leaderboard

Request model evaluation on COCO val 2017 dataset

158
🧐

InspectorRAGet

Evaluate RAG systems with visual analytics

4
💻

Redteaming Resistance Leaderboard

Display model benchmark results

41
🥇

DécouvrIR

Leaderboard of information retrieval models in French

11
🥇

ContextualBench-Leaderboard

View and submit language model evaluations

14
🥇

TTSDS Benchmark and Leaderboard

Text-To-Speech (TTS) Evaluation using objective metrics.

22
👀

Model Drops Tracker

Find recent high-liked Hugging Face models

33
📈

Building And Deploying A Machine Learning Models Using Gradio Application

Predict customer churn based on input details

2
🏆

KOFFVQA Leaderboard

Browse and filter ML model leaderboard data

9
⚡

Modelcard Creator

Create and upload a Hugging Face model card

110

What is PaddleOCRModelConverter ?

PaddleOCRModelConverter is a tool designed to convert PaddleOCR models into the ONNX format. ONNX (Open Neural Network Exchange) is an open standard that allows models to be transferred between different frameworks and platforms, enabling better interoperability and performance optimization. This tool is particularly useful for users who want to deploy PaddleOCR models in environments that support ONNX, such as.TensorRT, Core ML, or Edge Inference Engines.

Features

• Model Conversion: Converts PaddleOCR models to ONNX format for cross-platform compatibility.
• Optimized Inference: Supports optimization of models for inference, ensuring faster and more efficient deployment.
• Framework Compatibility: Facilitates deployment across multiple ML frameworks and platforms.
• Command-Line Interface: Provides an easy-to-use command-line tool for model conversion.
• Cross-Platform Support: Enables deployment on diverse operating systems and hardware configurations.

How to use PaddleOCRModelConverter ?

  1. Install the Tool: Install the PaddleOCRModelConverter using the provided installation instructions.
  2. Prepare the Model: Ensure you have a trained PaddleOCR model ready for conversion.
  3. Run the Conversion Command: Use the command-line interface to convert the model to ONNX format. Example command:
    paddle_ocr_model_converter --input_model path/to/model --output_path path/to/output
    
  4. Verify the Conversion: Check the output directory for the converted ONNX model and verify its correctness using ONNX-compatible tools.

Frequently Asked Questions

What models are supported by PaddleOCRModelConverter?
PaddleOCRModelConverter supports all standard PaddleOCR models, including but not limited to CRNN, Transformer, and PFAN models.

Why should I convert my PaddleOCR model to ONNX?
Converting to ONNX enables deployment in ONNX-compatible frameworks and platforms, which can improve inference performance and provide better interoperability.

Are there any specific dependencies required for the conversion?
Yes, ensure you have the latest versions of PaddlePaddle and ONNX runtime installed in your environment for smooth conversion and inference.

Recommended Category

View All
🎥

Convert a portrait into a talking video

🗒️

Automate meeting notes summaries

📊

Convert CSV data into insights

🚫

Detect harmful or offensive content in images

🔇

Remove background noise from an audio

💻

Generate an application

🤖

Chatbots

🌍

Language Translation

😀

Create a custom emoji

✂️

Separate vocals from a music track

🖼️

Image Captioning

🌐

Translate a language in real-time

😂

Make a viral meme

🧠

Text Analysis

📄

Extract text from scanned documents