Convert images and PDFs to text in Node.js

Converts images to machine-readable text - from a single line to multi-page documents

Extracts texts from all types of images - from scans to smartphone photos

Reads all Latin and Cyrillic scripts

Recognizes Hindi and Chinese characters

Converts scanned PDF to searchable PDFs and editable Word documents

Improves OCR accuracy by fine-tuning every aspect of recognition

Reads the whole image or selected areas only

Supports skewed, noisy and wrapped images

Recognizes all images in a folder or archive in a single API call

Automatically detects image defects that can negatively affect recognition accuracy

Finds and automatically corrects misspelled words

Returns recognition result as JSON and XML that can be analyzed and imported to databases

Easy to Use

Aspose.OCR for Node.js via C++ is very easy to start with and master. Do not take our word for it, see for yourself:

const Module = require("path/to/asposeocr.js");
Module.onRuntimeInitialized = async _ =>  
{
// Prepare input
var input = Module.WasmAsposeOCRInput();
var inputs = new Module.WasmAsposeOCRInputs();
// Prepare settings
var settings = Module.WasmAsposeOCRRecognitionSettings();
input.url = "<file name>";
inputs.push_back(input);
var result = Module.AsposeOCRRecognize(inputs, settings);
// Serrialize result
var result_str = Module.AsposeOCRSerializeResult(result, Module.ExportFormat.text);
console.log(result_str);
}

European and Asian languages

Aspose.OCR for Node.js via C++ API can extract text in 27 languages based on Latin, Cyrillic, Chinese, and Indic scripts.The library also supports texts in mixed languages.

• Extended Latin alphabet: Croatian, Czech, Danish, Dutch, English, Estonian, Finnish, French, German, Italian, Latvian, Lithuanian, Norwegian, Polish, Portuguese, Romanian, Slovak, Slovenian, Spanish, Swedish.
• Cyrillic alphabet: Belorussian, Bulgarian, Kazakh, Russian, Serbian, Ukrainian.
• Chinese: more than 6,000 characters.
• Hindi.

You can leave the language detection to the library or define the language yourself to increase the recognition performance and reliability.

Batch Processing

OCR API frees you from recognizing every image one-by-one by offering various batch-processing methods that allow you to recognize multiple images in one call:

• Recognition of multi-page PDF and TIFF files.
• Recognition of all files in a folder.
• Recognition of all files in an archive.

const Module = require("path/to/asposeocr.js");
Module.onRuntimeInitialized = async _ =>  
{
// Prepare input
var input = Module.WasmAsposeOCRInput();
// Provide archive path
input.url = "archive.zip";
var inputs = new Module.WasmAsposeOCRInputs();
// Prepare settings
var settings = Module.WasmAsposeOCRRecognitionSettings();
inputs.push_back(input);
var result = Module.AsposeOCRRecognize(inputs, settings);
// Serrialize result
var result_str = Module.AsposeOCRSerializeResult(result, Module.ExportFormat.text);
}

Image preprocessing

The accuracy and reliability of text recognition is highly dependent on the quality of the original image. Aspose.OCR for Node.js via C++ offers a large number of fully automated and manual image processing filters that enhance an image before it is sent to the OCR engine:

• Automatically straighten skewed images.
• Remove dirt, spots, scratches, glare, unwanted gradients, and other noise.
• Automatically adjust the contrast.
• Blur noisy images while preserving the edges of high-contrast objects like letters.
• Increase the thickness of characters.
• Convert images to black and white or grayscale.
• Find potentially problematic areas of image during recognition.

const Module = require("path/to/asposeocr.js");
Module.onRuntimeInitialized = async _ =>  
{
// Prepare input
var input = Module.WasmAsposeOCRInput();
input.url = "../Data/Source/sample.png";
var inputs = new Module.WasmAsposeOCRInputs();
// Prepare settings
var settings = Module.WasmAsposeOCRRecognitionSettings();
settings.skew = 5;
inputs.push_back(input);
var result = Module.AsposeOCRRecognize(inputs, settings);
// Serrialize result
var result_str = Module.AsposeOCRSerializeResult(result, Module.ExportFormat.text);
}

Specialized recognition models

Aspose.OCR for Node.js via C++ offers specifically tuned OCR functions for extracting text from certain types of images:

• Digitize scans or photos of passports and other ID cards.
• Extract text from vehicle license plates.
• Convert scanned receipts into machine-readable text.

Document areas detection

A scanned image or photograph of a text document may contain a large number of blocks of various content - text paragraphs, tables, illustrations, formulas, and the like. Detecting, ordering, and classifying areas of interest on a page is the cornerstone of successful and accurate OCR.

Aspose.OCR for Node.js via C++ offers a number of document areas detection algorithms, allowing you to choose the one that works best for your specific content: from street photos to books and contracts.