About the API:

The Handwritten Text Removal API is a cutting-edge solution designed to automatically detect and remove handwritten text from document images. With its advanced algorithms and machine learning techniques, this API offers a seamless and efficient way to transform documents by eliminating handwritten content.

Handwritten text can often pose challenges when processing document images. It can interfere with optical character recognition (OCR) systems, making it difficult to extract accurate and reliable information from the documents. Additionally, handwritten text can create clutter and disrupt the readability of the document, hindering effective analysis or further processing.

The Handwritten Text Removal API addresses these challenges by leveraging state-of-the-art image processing and deep learning algorithms. It analyzes the document images and identifies regions containing handwritten text using advanced computer vision techniques. The API then applies sophisticated image manipulation methods to remove the handwritten content, while preserving the integrity and quality of the remaining document.

Integrating the Handwritten Text Removal API into existing systems or applications is straightforward. Users can make simple API calls, passing the document image as input. The API processes the image and performs the detection and removal of handwritten text automatically. The result is a transformed document image that no longer contains any handwritten content, enabling enhanced readability and improved data extraction.

The applications of the Handwritten Text Removal API are diverse and wide-ranging. It can be used in industries such as legal, finance, healthcare, and education, where handwritten documents are prevalent. For example, legal professionals can utilize the API to convert scanned contracts or agreements into digital copies, removing handwritten annotations or notes. Financial institutions can streamline document processing by eliminating handwritten information from account statements or loan applications.

In educational settings, the Handwritten Text Removal API can be employed to digitize handwritten notes, enabling easy sharing and collaboration among students and educators. It can also assist in archival processes, where historical documents or manuscripts with handwritten sections need to be digitized for preservation purposes.

One of the key advantages of the Handwritten Text Removal API is its ability to significantly reduce manual effort and improve efficiency. By automating the detection and removal of handwritten text, organizations can save valuable time and resources that would otherwise be spent on manual editing or data extraction. This API empowers businesses to streamline their document workflows, improve accuracy, and enhance overall productivity.

Furthermore, the Handwritten Text Removal API ensures data privacy and security. It handles sensitive document images with the utmost confidentiality and employs robust encryption and secure transmission protocols to protect user data. Organizations can confidently integrate this API into their systems, knowing that their documents and information remain secure throughout the process.

In conclusion, the Handwritten Text Removal API offers a powerful solution for automatically detecting and removing handwritten text from document images. With its advanced algorithms and seamless integration capabilities, it simplifies document processing, improves data extraction accuracy, and enhances overall efficiency. Businesses across various industries can benefit from this API by transforming their document workflows, reducing manual effort, and unlocking the full potential of their document assets.

 

What your API receives and what your API provides (input/output)?

Pass the image URL from the handwritten text, and receive a download URL to get a clean image. 

 

What are the most common uses cases of this API?

1. Document Digitization: The Handwritten Text Removal API can be used in the process of digitizing handwritten documents. It automatically detects and removes handwritten text, allowing organizations to convert physical documents into digital formats for easier storage, retrieval, and sharing.

2. Data Extraction: When processing documents with a combination of printed and handwritten text, the API can remove the handwritten portions, enabling more accurate data extraction. This is particularly useful in industries such as finance or healthcare, where extracting information from forms or reports is essential.

3. Enhancing Document Readability: The API can be employed to improve the readability of document images by removing handwritten text. This is beneficial for applications like digital archives, where handwritten sections may interfere with legibility or searchability, ensuring that the documents are more accessible to users.

4. Document Redaction: Organizations dealing with sensitive or confidential information can utilize the Handwritten Text Removal API to redact handwritten portions from documents before sharing or publishing them. This helps protect privacy and comply with data protection regulations.

5. Natural Language Processing (NLP): The API can be integrated into NLP pipelines to preprocess text data by removing handwritten content. By eliminating handwritten text, NLP models can focus on analyzing and understanding the printed text, leading to improved text processing and language modeling tasks.

6. Fraud Detection: The Handwritten Text Removal API can assist in fraud detection scenarios by removing potentially tampered or forged handwritten portions from documents. By eliminating such content, organizations can improve the accuracy of fraud detection algorithms and ensure the integrity of their processes.

These use cases demonstrate the versatility and value of the Handwritten Text Removal API across different industries and applications. By automating the detection and removal of handwritten text, organizations can enhance document processing, improve data accuracy, and streamline various workflows.

 

Are there any limitations to your plans?

Besides the number of API calls, there are no other limitations.

                                                                            
POST https://zylalabs.com/api/2025/handwritten+text+removal+api/1802/remove+handwritten+text
                                                                            
                                                                        

       
                                                                                                        
                                                                                                                                                                                                                            {"code":"200","image_result":"https://seaout.oss-accelerate.aliyuncs.com/temp/859c6929-83ea-490a-b22b-8714ee4ff2ff.jpg","msg":"Success"}
                                                                                                                                                                                                                    
                                                                                                    

curl --location --request POST 'https://zylalabs.com/api/2025/handwritten+text+removal+api/1802/remove+handwritten+text?imageUrl=https://i.stack.imgur.com/S4lVF.jpg' --header 'Authorization: Bearer YOUR_API_KEY' 

    

OkHttpClient client = new OkHttpClient().newBuilder()
.build();
MediaType mediaType = MediaType.parse("text/plain");
Request request = new Request.Builder()
.url("https://zylalabs.com/api/2025/handwritten+text+removal+api/1802/remove+handwritten+text?imageUrl=https://i.stack.imgur.com/S4lVF.jpg")
.method("POST", body)
.addHeader("Authorization", "YOUR_API_KEY")
.build();
Response response = client.newCall(request).execute();

var settings = {
"url": "https://zylalabs.com/api/2025/handwritten+text+removal+api/1802/remove+handwritten+text?imageUrl=https://i.stack.imgur.com/S4lVF.jpg",
"method": "POST",
"timeout": 0,
"headers": {
    "Authorization": "YOUR_API_KEY"
},
};

$.ajax(settings).done(function (response) {
console.log(response);
});

var xhr = new XMLHttpRequest();
xhr.withCredentials = true;
    
xhr.addEventListener("readystatechange", function() {
if(this.readyState === 4) {
    console.log(this.responseText);
    }
});
    
xhr.open("POST", "https://zylalabs.com/api/2025/handwritten+text+removal+api/1802/remove+handwritten+text?imageUrl=https://i.stack.imgur.com/S4lVF.jpg");
xhr.setRequestHeader("Authorization", "Bearer YOUR_API_KEY");

var axios = require('axios');
var config = {
method: 'POST',
url: 'https://zylalabs.com/api/2025/handwritten+text+removal+api/1802/remove+handwritten+text?imageUrl=https://i.stack.imgur.com/S4lVF.jpg',
headers: { 
    'Authorization': 'Bearer YOUR_API_KEY'
    },
};
axios(config).then(function (response) {
console.log(JSON.stringify(response.data));
})
.catch(function (error) {
console.log(error);
});

$curl = curl_init();
    
curl_setopt_array($curl, array(
CURLOPT_URL => 'https://zylalabs.com/api/2025/handwritten+text+removal+api/1802/remove+handwritten+text?imageUrl=https://i.stack.imgur.com/S4lVF.jpg',
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => '',
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 0,
CURLOPT_FOLLOWLOCATION => true,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => 'POST',
CURLOPT_HTTPHEADER => array(
    'Authorization: Bearer YOUR_API_KEY'
    ),
));
    
$response = curl_exec($curl);
    
curl_close($curl);
echo $response;

import requests
    
url = "https://zylalabs.com/api/2025/handwritten+text+removal+api/1802/remove+handwritten+text?imageUrl=https://i.stack.imgur.com/S4lVF.jpg"
    
headers = {
    'Authorization': 'Bearer YOUR_API_KEY'
}
    
response = requests.request("POST", url, headers=headers, data=payload)
    
print(response.text)
    

require "uri"
require "net/http"
    
url = URI("https://zylalabs.com/api/2025/handwritten+text+removal+api/1802/remove+handwritten+text?imageUrl=https://i.stack.imgur.com/S4lVF.jpg")
    
http = Net::HTTP.new(url.host, url.port);
request = Net::HTTP::POST.new(url)
request["Authorization"] = "Bearer YOUR_API_KEY"
    
response = http.request(request)
puts response.read_body

http --follow --timeout 3600 POST 'https://zylalabs.com/api/2025/handwritten+text+removal+api/1802/remove+handwritten+text?imageUrl=https://i.stack.imgur.com/S4lVF.jpg' \
Authorization:'Bearer YOUR_API_KEY'

var client = new RestClient("https://zylalabs.com/api/2025/handwritten+text+removal+api/1802/remove+handwritten+text?imageUrl=https://i.stack.imgur.com/S4lVF.jpg");
client.Timeout = -1;
var request = new RestRequest(Method.POST);
request.AddHeader("Authorization", "Bearer YOUR_API_KEY");
IRestResponse response = client.Execute(request);
Console.WriteLine(response.Content);

package main
import (
    "fmt"
    "net/http"
    "io/ioutil"
)
func main() {
    url := "https://zylalabs.com/api/2025/handwritten+text+removal+api/1802/remove+handwritten+text?imageUrl=https://i.stack.imgur.com/S4lVF.jpg"
    method := "POST"
    client := &http.Client {
    }
    req, err := http.NewRequest(method, url, nil)
    if err != nil {
    fmt.Println(err)
    return
    }
    req.Header.Add("Authorization", "Bearer YOUR_API_KEY")
    res, err := client.Do(req)
    if err != nil {
    fmt.Println(err)
    return
    }
    defer res.Body.Close()

    body, err := ioutil.ReadAll(res.Body)
    if err != nil {
    fmt.Println(err)
    return
    }
    fmt.Println(string(body))
}