You can deploy this model and start earning money today!

itextresearch/
itext-te_PP-OCRv5_mobile_rec_infer

Name: itext-te_PP-OCRv5_mobile_rec_infer
Availability: InStock

onnx

apache-2.0

Views

No views yet

itext-te_PP-OCRv5_mobile_rec_infer

These are machine learning models designed to detect and recognize text within images. They analyze visual input, identify regions containing text, and convert that text into a machine-readable format. We integrate these models into our iText PdfOCR ONNX engine to enable efficient and accurate extraction of textual content from scanned documents and image-based PDFs. For seamless integration, they are converted into ONNX format, ensuring compatibility with the iText PdfOCR engine.

Learn more about iText PdfOCR

Model overview

Source: https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/te_PP-OCRv5_mobile_rec_infer.tar
Conversion: ONNX version generated following the PaddleOCR guide – https://www.paddleocr.ai/main/en/version3.x/deployment/obtaining_onnx_models.html
What it does: Detects text (handwritten, vertical, rotated, curved) in many languages (Simplified/Traditional Chinese, English, Japanese) with a good speed accuracy trade ‑off for mobile‑class hardware.
iText support: Available from pdfOCR 5.0.0 onward.

Getting started with iText pdfOCR

Simple OCR engine (detection + recognition)

java (but is also available in .NET)

java

// detection
IDetectionPredictor detection = OnnxDetectionPredictor.paddleOcr(PATH_TO_DETECTION_MODEL);   // e.g. "PP-OCRv5_mobile_det_infer.onnx"
// recognition
IRecognitionPredictor recognition = OnnxRecognitionPredictor.paddleOcr(PATH_TO_RECOGNITION_MODEL); // your recognition ONNX model
// combine into an engine
try(OnnxOcrEngine ocrEngine = new OnnxOcrEngine(detection, recognition);) { 
	/* Your OCR processing here */ 
}

OCR engine with orientation handling

java (but is also available in .NET)

java

IDetectionPredictor detection = OnnxDetectionPredictor.paddleOcr(PATH_TO_DETECTION_MODEL);
IRecognitionPredictor recognition = OnnxRecognitionPredictor.paddleOcr(PATH_TO_RECOGNITION_MODEL);
// orientation predictor (MobileNetV3 variant)
OnnxOrientationPredictor orientation = OnnxOrientationPredictor.mobileNetV3(PATH_TO_ORIENTATION_MODEL);
OnnxOcrEngine ocrEngine = new OnnxOcrEngine(detection, orientation, recognition);
try(OnnxOcrEngine ocrEngine = new OnnxOcrEngine(detection, orientation, recognition)) { 
	/* Your OCR processing here */ 
}

The created ocrEngine can be passed to the standard iText pdfOCR API, e.g.:

java

OcrPdfCreator ocrPdfCreator = new OcrPdfCreator(ocrEngine);
ocrPdfCreator.createPdfFile(Collections.singletonList(new File(imagePath)), new File(outPdfFile))

itextresearch/
itext-te_PP-OCRv5_mobile_rec_infer

itext-te_PP-OCRv5_mobile_rec_infer

Model overview

Getting started with iText pdfOCR

Simple OCR engine (detection + recognition)

java (but is also available in .NET)

OCR engine with orientation handling

java (but is also available in .NET)

The created ocrEngine can be passed to the standard iText pdfOCR API, e.g.:

Sample projects

The following example files illustrate complete usage patterns:

itextresearch/itext-te_PP-OCRv5_mobile_rec_infer

itext-te_PP-OCRv5_mobile_rec_infer

Model overview

Getting started with iText pdfOCR

Simple OCR engine (detection + recognition)

java (but is also available in .NET)

OCR engine with orientation handling

java (but is also available in .NET)

The created ocrEngine can be passed to the standard iText pdfOCR API, e.g.:

Sample projects

The following example files illustrate complete usage patterns:

itextresearch/
itext-te_PP-OCRv5_mobile_rec_infer