EasyOCR API Integration Guide: From Beginner to Expert
Detailed API integration steps and sample code supporting JavaScript, Python, cURL, and more.
4 min read
Quick Integration Steps
1. Preparation
Ensure your development environment supports HTTP requests and can handle multipart/form-data format.
2. Build the Request
Create a POST request to https://api.easyocr.org/ocr
3. Upload Image
Add the image file to FormData with the field name file
4. Handle Response
Parse the returned JSON data to get the recognition result
5. Error Handling
Implement appropriate error handling logic for potential exceptions
Complete Example
async function recognizeText(imageFile) {
try {
const formData = new FormData();
formData.append('file', imageFile);
const response = await fetch('https://api.easyocr.org/ocr', {
method: 'POST',
body: formData
});
if (!response.ok) {
throw new Error('Recognition failed');
}
const data = await response.json();
// API response format: { words: [{ text, left, top, right, bottom, rate }] }
if (data.words && Array.isArray(data.words)) {
// Extract all text content
const text = data.words.map(word => word.text).join('\\n');
return { text, words: data.words };
}
return data;
} catch (error) {
console.error('OCR Error:', error);
throw error;
}
}
More Examples
Visit the Quick Start page for sample code in more programming languages.