API OCR JavaScript Sumber Terbuka untuk Membuat PDF yang Dapat Dicari

Instal Scribe.js via npm

 npm install scribe.js-ocr 

Anda juga dapat menginstalnya secara manual; unduh file rilis terbaru langsung dari repositori GitHub.

Cara Mengekstrak Teks dari Gambar melalui Perpustakaan JavaScript?

import scribe from 'scribe.js-ocr';

// Extract text from a single image
scribe.extractText(['https://example.com/sample-image.png'])
  .then((result) => {
    console.log('Extracted text:', result);
  })
  .catch((error) => {
    console.error('OCR failed:', error);
  });

Cara Membuat Dokumen PDF yang Dapat Dicari melalui Perpustakaan JavaScript?

import scribe from 'scribe.js-ocr';

// Add searchable text layer to an image-based PDF
async function makeSearchablePDF(inputPdfUrl) {
  try {
    // First, perform OCR on the PDF
    const ocrResult = await scribe.extractText([inputPdfUrl]);
    
    // Then create a new PDF with the text layer embedded
    const searchablePdf = await scribe.createSearchablePDF(
      inputPdfUrl,
      ocrResult
    );
    
    // The resulting PDF maintains the original appearance
    // but now contains selectable, searchable text
    return searchablePdf;
  } catch (error) {
    console.error('Failed to create searchable PDF:', error);
    throw error;
  }
}

Deteksi Teks Dokumen Lanjutan via JS

Untuk gambar dokumen dengan teks padat dan tata letak kompleks (seperti halaman buku yang dipindai atau ekspor PDF), pustaka Scribe.js menawarkan fitur "Deteksi Teks Dokumen". Ini menyediakan informasi yang jauh lebih kaya, termasuk detektor paragraf, kata, dan jeda, yang membantu mempertahankan struktur dokumen asli. Ini sangat berguna untuk aplikasi di mana tata letak dan struktur materi sumber penting, seperti memproses formulir, faktur, atau tata letak multi-kolom.

const Scribe = require('scribejs');
const serviceAccountKey = require('./path-to-your-key.json');
const scribe = new Scribe(serviceAccountKey);

const documentImageUrl = 'https://example.com/scanned-invoice.png';

// Use the `documentText` method for advanced detection
scribe.documentText(documentImageUrl)
  .then(fullTextAnnotation => {
    // The fullTextAnnotation object contains detailed data
    console.log('Full Document Text:');
    console.log(fullTextAnnotation.text); // The plain text of the entire document

    // You can also iterate through pages, blocks, paragraphs, and words
    fullTextAnnotation.pages.forEach(page => {
      page.blocks.forEach(block => {
        console.log('\nBlock Confidence:', block.confidence);
        block.paragraphs.forEach(paragraph => {
          console.log(paragraph.text);
        });
      });
    });
  })
  .catch(error => {
    console.error('Document OCR Error:', error);
  });

import scribe from 'scribe.js-ocr';

// Process multiple documents at once
async function batchProcess(fileUrls) {
  try {
    // Pass an array of URLs to process multiple files
    const results = await scribe.extractText(fileUrls);
    
    // Results are returned in the same order as input
    results.forEach((text, index) => {
      console.log(`Document ${index + 1} text:`, text);
    });
    
    return results;
  } catch (error) {
    console.error('Batch processing failed:', error);
    throw error;
  }
}

// Process a batch of documents
const documents = [
  'https://example.com/receipt1.jpg',
  'https://example.com/receipt2.jpg',
  'https://example.com/invoice.pdf'
];

batchProcess(documents)
  .then(allText => {
    console.log('All documents processed successfully');
  });