ocrly-image-to-text

ocrly-image-to-text

3.5

OCRLY Image to Text is a server that converts images to text using OCR technology.

OCRLY Image to Text is a powerful image-to-text conversion server that efficiently extracts text from images using Optical Character Recognition (OCR) technology. This server is specifically designed to convert images into text, making it highly valuable for IT teams and other users who need to process and analyze image-based information. It offers accurate text extraction, fast processing, and secure handling of data without storing any images or extracted text on its servers. OCRLY provides various subscription plans to cater to different user needs, ranging from a free basic plan to a comprehensive mega plan. The server processes images by accepting an image URL and filename, returning the extracted text in HTML format for easy integration into applications.

Features

  • Accurate Text Extraction: Leveraging advanced OCR technology, OCRLY provides high accuracy in text extraction from various image formats.
  • Fast Processing: With a latency of just 3111ms, OCRLY ensures quick conversion from image to text, enhancing productivity.
  • Secure Processing: OCRLY does not store any images or extracted data on its servers, guaranteeing the privacy and security of your information.

MCP Tools

  • image2text: Provide the image URL and filename to receive the text in the image as HTML. OCRLY ensures that no data is stored on the server during this process.

Usage with Different Platforms

python

python
import requests

url = 'https://ocrly-server.com/api/image2text'
params = {
    'imageurl': 'http://example.com/image.png',
    'filename': 'image.png'
}
response = requests.post(url, data=params)
print(response.text)

javascript

javascript
const axios = require('axios');

const url = 'https://ocrly-server.com/api/image2text';
const params = {
    imageurl: 'http://example.com/image.png',
    filename: 'image.png'
};

axios.post(url, params)
    .then(response => console.log(response.data))
    .catch(error => console.error(error));