> For the complete documentation index, see [llms.txt](https://docs.apryse.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.apryse.com/core/smart-data-extraction/document-classification.md).

# Document Classification

Apryse's Document Classification engine helps you automatically assign predefined categories to PDF document pages based on their content and structure. It is a part of the Apryse Server SDK Smart Dat

{% hint style="info" %}
**Document Category updates!**

New in 11.12 categories for financial reports, government tenders, legal documents, manuals, patents, scientific journals, and technical drawings have been added
{% endhint %}

{% hint style="info" %}
**Requirements**

*These packages are required to use these features in production. Trial keys have unlimited access to all features*

<a href="https://apryse.com/capabilities#SmartDataExtraction" class="button primary">Package: Smart Data Extraction</a><a href="/core/learn-more/modules.md#data-extraction-module" class="button primary">Module: Data Extraction</a><a href="https://showcase.apryse.com/key-value-extraction" class="button primary">Live demo</a>
{% endhint %}

Document Classification is an AI-trained SDK API that identifies each file on upload, based on a predefined set of 24 categories, so you can:

* Validate intake.
* Route to the right workflow.
* Add metadata for processing later.

The output includes the predicted label with a confidence score in structured JSON for easy integration into your solution.

The benefits of using this feature include:

* Automatically identify document types from a predefined set of 24 categories such as invoices, receipts, IDs, budgets, contracts, and more.
* You decide the thresholds for automated routing or manual reviews.
* Provides easy integration into downstream workflows.

The 24 categories include:

* "advertisement"
* "budget"
* "email"
* "financial\_reports"
* "form"
* "government\_tenders"
* "id"
* "invoice"
* "legal\_documents"
* "letter"
* "manuals"
* "memo"
* "news\_article"
* "passport"
* "patents"
* "presentation"
* "questionnaire"
* "receipt"
* "resume"
* "scientific\_journals"
* "scientific\_publication"
* "scientific\_report"
* "specification"
* "technical\_drawing"

### JSON Output Specification

Refer to the following specifications to learn more about the output JSON format:

* [JSON Specification for Document Classification](https://sdk.apryse.com/api/classificationjson/index.html)

## Extract document classes as JSON file

Specify the name of the input PDF file and the name of the output JSON file, then select the Doc Classification engine:

{% tabs %}
{% tab title="C#" %}
{% code lineNumbers="true" %}

```csharp
DataExtractionModule.ExtractData("Invoice.pdf", "Invoice_Classified.json", DataExtractionModule.DataExtractionEngine.e_doc_classification);
```

{% endcode %}
{% endtab %}

{% tab title="C++" %}
{% code lineNumbers="true" %}

```cpp
DataExtractionModule::ExtractData("Invoice.pdf", "Invoice_Classified.json", DataExtractionModule::e_DocClassification);
```

{% endcode %}
{% endtab %}

{% tab title="Go" %}
{% code lineNumbers="true" %}

```go
DataExtractionModuleExtractData("Invoice.pdf", "Invoice_Classified.json", DataExtractionModuleE_DocClassification)
```

{% endcode %}
{% endtab %}

{% tab title="Java" %}
{% code lineNumbers="true" %}

```java
DataExtractionModule.extractData("Invoice.pdf", "Invoice_Classified.json", DataExtractionModule.DataExtractionEngine.e_doc_classification);
```

{% endcode %}
{% endtab %}

{% tab title="JavaScript" %}
{% code lineNumbers="true" %}

```js
await PDFNet.DataExtractionModule.extractData("Invoice.pdf", "Invoice_Classified.json", PDFNet.DataExtractionModule.DataExtractionEngine.e_DocClassification);
```

{% endcode %}
{% endtab %}

{% tab title="PHP" %}
{% code lineNumbers="true" %}

```php
DataExtractionModule::ExtractData("Invoice.pdf", "Invoice_Classified.json", DataExtractionModule::e_DocClassification);
```

{% endcode %}
{% endtab %}

{% tab title="Python" %}
{% code lineNumbers="true" %}

```python
DataExtractionModule.ExtractData("Invoice.pdf", "Invoice_Classified.json", DataExtractionModule.e_DocClassification)
```

{% endcode %}
{% endtab %}

{% tab title="Ruby" %}
{% code lineNumbers="true" %}

```ruby
DataExtractionModule.ExtractData("Invoice.pdf", "Invoice_Classified.json", DataExtractionModule::E_DocClassification)
```

{% endcode %}
{% endtab %}

{% tab title="VB" %}
{% code lineNumbers="true" %}

```vb
DataExtractionModule.ExtractData("Invoice.pdf", "Invoice_Classified.json", DataExtractionModule.DataExtractionEngine.e_doc_classification)
```

{% endcode %}
{% endtab %}
{% endtabs %}

## Extract document classes as JSON string

Specify the name of the input PDF file, then select the Doc Classification engine:

{% tabs %}
{% tab title="C#" %}
{% code lineNumbers="true" %}

```csharp
string json = DataExtractionModule.ExtractData("Scientific_Publication.pdf", DataExtractionModule.DataExtractionEngine.e_doc_classification);
```

{% endcode %}
{% endtab %}

{% tab title="C++" %}
{% code lineNumbers="true" %}

```cpp
UString json = DataExtractionModule::ExtractData("Scientific_Publication.pdf", DataExtractionModule::e_DocClassification);
```

{% endcode %}
{% endtab %}

{% tab title="Go" %}
{% code lineNumbers="true" %}

```go
json := DataExtractionModuleExtractData("Scientific_Publication.pdf", DataExtractionModuleE_DocClassification).(string)
```

{% endcode %}
{% endtab %}

{% tab title="Java" %}
{% code lineNumbers="true" %}

```java
String json = DataExtractionModule.extractData("Scientific_Publication.pdf", DataExtractionModule.DataExtractionEngine.e_doc_classification);
```

{% endcode %}
{% endtab %}

{% tab title="JavaScript" %}
{% code lineNumbers="true" %}

```js
const json = await PDFNet.DataExtractionModule.extractDataAsString('Scientific_Publication.pdf', PDFNet.DataExtractionModule.DataExtractionEngine.e_DocClassification);
```

{% endcode %}
{% endtab %}

{% tab title="PHP" %}
{% code lineNumbers="true" %}

```php
$json = DataExtractionModule::ExtractData("Scientific_Publication.pdf", DataExtractionModule::e_DocClassification);
```

{% endcode %}
{% endtab %}

{% tab title="Python" %}
{% code lineNumbers="true" %}

```python
json = DataExtractionModule.ExtractData("Scientific_Publication.pdf", DataExtractionModule.e_DocClassification)
```

{% endcode %}
{% endtab %}

{% tab title="Ruby" %}
{% code lineNumbers="true" %}

```ruby
json = DataExtractionModule.ExtractData("Scientific_Publication.pdf", DataExtractionModule::E_DocClassification)
```

{% endcode %}
{% endtab %}

{% tab title="VB" %}
{% code lineNumbers="true" %}

```vb
Dim json As String = DataExtractionModule.ExtractData("Scientific_Publication.pdf", DataExtractionModule.DataExtractionEngine.e_doc_classification)
```

{% endcode %}
{% endtab %}
{% endtabs %}

## Optional Configurations

[Select OCR Language](/core/smart-data-extraction/workflow.md#select-ocr-language)

[Password-Protected PDFs](/core/smart-data-extraction/workflow.md#specify-pdf-password)

[Page Range](/core/smart-data-extraction/workflow.md#select-a-page-range)

[Minimum Confidence Threshold](/core/smart-data-extraction/workflow.md#minimum-confidence-threshold)


---

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