NexaAI / paddleocr-npu

huggingface.co
Total runs: 37
24-hour runs: 0
7-day runs: 25
30-day runs: 25
Model's Last Updated: January 13 2026
image-to-text

Introduction of paddleocr-npu

Model Details of paddleocr-npu

PaddleOCR v4 (PP-OCRv4)

Model Description

PP-OCRv4 is the fourth-generation end-to-end optical character recognition system from the PaddlePaddle team.
It combines a lightweight text detection → angle classification → text recognition pipeline with improved training techniques and data augmentation, delivering higher accuracy and robustness while staying efficient for real-time use.

PP-OCRv4 supports multilingual OCR (Latin and non-Latin scripts), irregular layouts (rotated/curved text), and challenging inputs such as noisy or low-resolution images often found in mobile and document-scan scenarios.

Features
  • End-to-end OCR : text detection, optional angle classification, and text recognition in one pipeline.
  • Multilingual support : pretrained models for English, Chinese, and dozens of other languages; easy finetuning for domain text.
  • Robust in real-world conditions : handles rotation, perspective distortion, blur, low light, and complex backgrounds.
  • Lightweight & fast : practical for both mobile apps and large-scale server deployments.
  • Flexible I/O : works with photos, scans, screenshots, receipts, invoices, ID cards, dashboards, and UI text.
  • Extensible : swap components (detector/recognizer), add language packs, or finetune on domain datasets.
Use Cases
  • Document digitization (invoices, receipts, forms, contracts)
  • RPA and back-office automation (screen/OCR flows)
  • Mobile scanning apps and camera-based translation/read-aloud
  • Industrial and retail analytics (labels, price tags, shelf tags)
  • Accessibility (screen-readers and read-aloud applications)
Inputs and Outputs

Input : Image (photo, scan, or screenshot).
Output : A list of detected text regions, each with:

  • bounding box (rectangular or polygonal)
  • recognized text string
  • optional confidence score and orientation

How to use

⚠️ Hardware requirement: the model currently runs only on Qualcomm NPUs (e.g., Snapdragon-powered AIPC).
Apple NPU support is planned next.

1) Install Nexa-SDK
2) Get an access token

Create a token in the Model Hub, then log in:

nexa config set license '<access_token>'
3) Run the model

Running:

nexa infer NexaAI/paddleocr-npu

License
References

Runs of NexaAI paddleocr-npu on huggingface.co

37
Total runs
0
24-hour runs
3
3-day runs
25
7-day runs
25
30-day runs

More Information About paddleocr-npu huggingface.co Model

paddleocr-npu huggingface.co

paddleocr-npu huggingface.co is an AI model on huggingface.co that provides paddleocr-npu's model effect (), which can be used instantly with this NexaAI paddleocr-npu model. huggingface.co supports a free trial of the paddleocr-npu model, and also provides paid use of the paddleocr-npu. Support call paddleocr-npu model through api, including Node.js, Python, http.

paddleocr-npu huggingface.co Url

https://huggingface.co/NexaAI/paddleocr-npu

NexaAI paddleocr-npu online free

paddleocr-npu huggingface.co is an online trial and call api platform, which integrates paddleocr-npu's modeling effects, including api services, and provides a free online trial of paddleocr-npu, you can try paddleocr-npu online for free by clicking the link below.

NexaAI paddleocr-npu online free url in huggingface.co:

https://huggingface.co/NexaAI/paddleocr-npu

paddleocr-npu install

paddleocr-npu is an open source model from GitHub that offers a free installation service, and any user can find paddleocr-npu on GitHub to install. At the same time, huggingface.co provides the effect of paddleocr-npu install, users can directly use paddleocr-npu installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

paddleocr-npu install url in huggingface.co:

https://huggingface.co/NexaAI/paddleocr-npu

Url of paddleocr-npu

paddleocr-npu huggingface.co Url

Provider of paddleocr-npu huggingface.co

NexaAI
ORGANIZATIONS

Other API from NexaAI

huggingface.co

Total runs: 1.3K
Run Growth: -484
Growth Rate: -38.05%
Updated:August 09 2025
huggingface.co

Total runs: 793
Run Growth: -109
Growth Rate: -13.75%
Updated:August 21 2025
huggingface.co

Total runs: 634
Run Growth: -567
Growth Rate: -89.43%
Updated:November 14 2025
huggingface.co

Total runs: 556
Run Growth: -1
Growth Rate: -0.18%
Updated:May 21 2024
huggingface.co

Total runs: 486
Run Growth: 0
Growth Rate: 0.00%
Updated:July 22 2025
huggingface.co

Total runs: 258
Run Growth: -17
Growth Rate: -6.59%
Updated:September 28 2025
huggingface.co

Total runs: 155
Run Growth: 17
Growth Rate: 10.97%
Updated:November 07 2025
huggingface.co

Total runs: 74
Run Growth: 4
Growth Rate: 5.41%
Updated:July 22 2025
huggingface.co

Total runs: 58
Run Growth: 40
Growth Rate: 68.97%
Updated:December 03 2025
huggingface.co

Total runs: 54
Run Growth: -1
Growth Rate: -1.85%
Updated:May 05 2024
huggingface.co

Total runs: 52
Run Growth: 4
Growth Rate: 7.69%
Updated:January 10 2026
huggingface.co

Total runs: 43
Run Growth: 34
Growth Rate: 77.27%
Updated:November 07 2025
huggingface.co

Total runs: 16
Run Growth: -2
Growth Rate: -12.50%
Updated:September 04 2024
huggingface.co

Total runs: 16
Run Growth: 4
Growth Rate: 28.57%
Updated:December 17 2025
huggingface.co

Total runs: 14
Run Growth: 10
Growth Rate: 71.43%
Updated:October 28 2025
huggingface.co

Total runs: 10
Run Growth: 2
Growth Rate: 20.00%
Updated:January 13 2026
huggingface.co

Total runs: 5
Run Growth: 0
Growth Rate: 0.00%
Updated:December 16 2025