C＃、Java、PythonなどのOCRライブラリ

/** Initialize recognition API */
AsposeOcr api = new AsposeOcr();

/** Provide the image for recognition */
OcrInput source = new OcrInput(InputType.SingleImage);
source.Add("image.png");

/** Recognize and output results */
List<RecognitionResult> results = api.Recognize(source);
Console.WriteLine(results[0].RecognitionText);

// Provide the image for recognition
string file = "image.png";
AsposeOCRInput source;
source.url = file.c_str();
vector<AsposeOCRInput> content = {source};

// Extract text from the image
AsposeOCRRecognitionResult result = asposeocr_recognize(
    content.data(),
    content.size()
  );
size_t size = 0;
wcout << wstring(buffer) << endl;

// Release the resources
asposeocr_free_result(result);

/** Initialize recognition API */
AsposeOCR api = new AsposeOCR();

/** Provide the image for recognition */
OcrInput images  = new OcrInput(InputType.SingleImage);
images.add("image.png");

/** Recognize and output results */
ArrayList<RecognitionResult> results =
    api.Recognize(images, recognitionSettings);
System.out.println(results[0].recognition_text);

// Provide the image for recognition
var input = Module.WasmAsposeOCRInput();
input.url = "image.png";
var inputs = new Module.WasmAsposeOCRInputs();
inputs.push_back(input);

// Extract text from the image
var result = Module.AsposeOCRRecognize(inputs);
var result_str = Module.AsposeOCRSerializeResult(result,
     Module.ExportFormat.text);

// Output recognized text
document.getElementById("out").innerText = result_str;

// Provide the image for recognition
let source = Module.WasmAsposeOCRInput();
source.url = "image.png";
let batch = new Module.WasmAsposeOCRInputs();
batch.push_back(source);

// Send image for OCR
let result = Module.AsposeOCRRecognize(batch);

// Output image text to the console
let text = Module.AsposeOCRSerializeResult(result,
    Module.ExportFormat.text);
console.log(text);

# Instantiate Aspose.OCR API
api = AsposeOcr()

# Provide the image for recognition
input = OcrInput(InputType.SINGLE_IMAGE)
input.add("source.png")

# Recognize the image
result = api.recognize(input)

# Print recognition result
print(result[0].recognition_text)