Image to text with Java OCR API

Overcome the challenge of OCR applications lacking widespread scanners. Our API boasts powerful built-in image pre-processing filters that adeptly handle rotated, skewed, and noisy images. Combined with support for all image formats, it ensures reliable recognition even from smartphone photos. Most pre-processing and image correction are automated, requiring your intervention only in challenging cases.

// Create instance of OCR API
AsposeOCR api = new AsposeOCR();

// Define pre-processing filters
PreprocessingFilter filters = new PreprocessingFilter();
filters.add(PreprocessingFilter.ToGrayscale());
filters.add(PreprocessingFilter.Rotate(-90));

// Pre-process image before recognition
BufferedImage imageRes = api.PreprocessImage(imagePath, filters);

// Recognize image
RecognitionResult result = api.RecognizePage(imageRes, set);

Integrate text detection and recognition in your Java applications. Access precise results from photos with ease, enhancing your image processing capabilities. Elevate image processing capabilities, obtaining accurate results from photos.

// Add a photo to the recognition batch
OcrInput images  = new OcrInput(InputType.SingleImage);
images.add("photo.jpg");

// Set photo recognition mode
RecognitionSettings recognitionSettings = new RecognitionSettings();
recognitionSettings.setDetectAreasMode(DetectAreasMode.PHOTO);

// Extract text from a photo
ArrayList<RecognitionResult> results = api.Recognize(images, recognitionSettings);
results.forEach((result) -> {
  System.out.println(result.recognition_text);
});

Optical character recognition demands resources. Our API offers flexible ways to balance the classic time-price-quality triad. It allows you to restrict the number of threads utilized by the recognition engine. While this adjustment may lead to a slower recognition speed, it enables you to allocate resources for concurrent tasks like parallel image processing, web server operations, database management, or background data analysis.

• Choose between thorough recognition and fast recognition.
• Specify the number of threads allocated for recognition, or allow the library to automatically scale to the number of processor cores.
• Free up the CPU by offloading calculations to the GPU.

RecognitionSettings recognitionSettings = new RecognitionSettings();
recognitionSettings.setThreadsCount(2);

If you images are high-quality scans without skew or distortion, you can use the fastest recognition mode that consumes minimum possible resources using:

AsposeOCR api = new AsposeOCR();

// Add images to the recognition batch
OcrInput images  = new OcrInput(InputType.SingleImage);
images.add(os.path.join(self.dataDir, "source1.png"));
images.add(os.path.join(self.dataDir, "source2.png"));

// Fast recognize images
ArrayList<RecognitionResult> results = api.RecognizeFast(images);
results.forEach((result) -> {
  System.out.println(result);
});