# smartICR

Revolutionize your text extraction process with smartICR, a leading tool in the industry. Utilizing cutting-edge deep learning techniques in computer vision and natural language processing, the software is capable of accurately extracting text from images and videos in over 100 languages. Its use of an LSTM neural network allows for unparalleled performance in sequence prediction, making it impervious to repeated text within image sequences. Experience the efficiency and effectiveness of smartICR today.

### Limitations

Max File Size is **10 MB**\
Max requests per second: **1**\
Processing Time: **Up to the number of characters in an image**

### Licenses

All rights reserved by Laigo

### API Call

## Upload file to smartICR

<mark style="color:green;">`POST`</mark> `https://use.laigo.io/api/FileUpload/v1/Upload/smartICR`

#### Query Parameters

| Name          | Type   | Description                                                   |
| ------------- | ------ | ------------------------------------------------------------- |
| languageHint  | String | Define language of the file content with ISO code (ISO-639-1) |
| outputFormats | String | Define output format(s) like PDF, TXT, JSON. Default is PDF   |
| email         | String | Define receiver email address                                 |
| threshold     | String | Set minimum probability to be reached by model                |

#### Headers

| Name                                          | Type   | Description                                                      |
| --------------------------------------------- | ------ | ---------------------------------------------------------------- |
| accessToken<mark style="color:red;">\*</mark> | String | A JWT issued to your application by the Laigo identity provider. |

#### Request Body

| Name                                   | Type   | Description            |
| -------------------------------------- | ------ | ---------------------- |
| file<mark style="color:red;">\*</mark> | String | The file for uploading |

{% tabs %}
{% tab title="201: Created Returns Job Id" %}

{% endtab %}

{% tab title="400: Bad Request Incomplete request or insufficient Laigos" %}

{% endtab %}

{% tab title="401: Unauthorized Unauthorized call" %}

{% endtab %}
{% endtabs %}

### Code snippets

{% tabs %}
{% tab title="cURL" %}

```javascript
curl -X POST "https://use.laigo.io/api/FileUpload/v1/Upload/smartICR" \
     -H "Authorization: Bearer my-accessToken-here" \
     -F "email=my-email-here" \
     -F "outputFormats=PDF,TEXT" \
     -F "languageHint=EN" \
     -F "file=@my-file-location-here"
```

{% endtab %}

{% tab title="C#" %}

```csharp
string baseUrl = "https://use.laigo.io/api/FileUpload/v1/Upload/smartICR";
string email = "my-email-here";
string outputFormats = "PDF,TEXT";
string languageHint = "EN";
string token = "Bearer my-accessToken-here";

using (HttpClient client = new HttpClient())
{
 string url = $"{baseUrl}?email={email}&outputFormats={outputFormats}&languageHint={languageHint}";
 var request = new HttpRequestMessage(HttpMethod.Post, url);
 request.Headers.Add("Authorization", token);
 var content = new MultipartFormDataContent();
 content.Add(new StreamContent(File.OpenRead("/my-file-location-here")), "file", "/my-file-location-here");
 request.Content = content;
 var response = await client.SendAsync(request);
 response.EnsureSuccessStatusCode();
 Console.WriteLine(await response.Content.ReadAsStringAsync());
}
```

{% endtab %}

{% tab title="Python" %}

```python
import requests

url = "https://use.laigo.io/api/FileUpload/v1/Upload/smartICR"
headers = {
    "Authorization": "Bearer my-accessToken-here"
}
data = {
    "email": "my-email-here",
    "outputFormats": "PDF,TEXT",
    "languageHint": "EN"
}
files = {
    "file": open("my-file-location-here", "rb")
}
response = requests.post(url, headers=headers, data=data, files=files)
response.raise_for_status()
print(response.text)
```

{% endtab %}

{% tab title="HTML & JavaScript" %}

```html
//note that running this code directly from the local file system might not work due to security restrictions.
<input type="file" id="fileInput">
<button id="uploadButton">Upload</button>

<script>
  document.getElementById('uploadButton').addEventListener('click', () => {
    const url = 'https://use.laigo.io/api/FileUpload/v1/Upload/smartICR';
    const token = 'Bearer my-email-here';

    const email = 'my-email-here';
    const outputFormats = 'PDF,TEXT';
    const languageHint = 'EN';

    const fileInput = document.getElementById('fileInput');
    const file = fileInput.files[0];

    const formData = new FormData();
    formData.append('email', email);
    formData.append('outputFormats', outputFormats);
    formData.append('languageHint', languageHint);
    formData.append('file', file);

    const xhr = new XMLHttpRequest();
    xhr.open('POST', url);
    xhr.setRequestHeader('Authorization', token);

    xhr.onload = () => {
      if (xhr.status === 200) {
        console.log(xhr.responseText);
      } else {
        console.error('Request failed:', xhr.statusText);
      }
    };

    xhr.onerror = () => {
      console.error('Request failed');
    };

    xhr.send(formData);
  });
</script>
```

{% endtab %}

{% tab title="PHP" %}

```php
<?php
$curl = curl_init();

$url = "https://use.laigo.io/api/FileUpload/v1/Upload/smartICR";
$headers = array(
    "Authorization: Bearer my-accessToken-here"
);

$fields = array(
    "email" => "my-email-here",
    "outputFormats" => "PDF,TEXT",
    "languageHint" => "EN",
    "file" => "@my-file-location-here"
);

curl_setopt($curl, CURLOPT_URL, $url);
curl_setopt($curl, CURLOPT_POST, 1);
curl_setopt($curl, CURLOPT_POSTFIELDS, $fields);
curl_setopt($curl, CURLOPT_HTTPHEADER, $headers);
curl_setopt($curl, CURLOPT_RETURNTRANSFER, 1);

$response = curl_exec($curl);

if (curl_errno($curl)) {
    echo "Error: " . curl_error($curl);
}

curl_close($curl);

echo $response;
?>
```

{% endtab %}
{% endtabs %}

### Example (Step by Step)

1. First you need to have a document sample that you want to use with smartICR. It can be any document type such as: invoice, receipt, letter, email etc. For e.g you can use the invoice sample below:

<figure><img src="https://1698119796-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FnvGf9sv8CkPYJeH3XSuP%2Fuploads%2F59kJNbxwMzAyo2kwrozd%2FsmartICR.png?alt=media&#x26;token=14f8b055-b1b9-4b4c-8bc7-f65c2ac2ea46" alt=""><figcaption></figcaption></figure>

2. Inorder to use our smartICR tool you need to have an API key which can be generated from [here](https://laigo.ai/make-your-first-request/).&#x20;

{% hint style="info" %}
If you don’t have an account, first you need to set up your account then you can generate the API key. [Create an account here.](https://laigo.ai/setup-your-account/)
{% endhint %}

3. After you have generated your API key, then you can use smartICR in any popular programming language, where you can find the code snippets [here](https://laigo.ai/smarticr/).
4. Run your code. You will receive a JSON response with the invoice details.

### Credits (Laigos)

The calcualtion of processing a page:

| Page | Laigos |
| ---- | ------ |
| 1    | 1      |

###