# Intelligent Document Processing

After a document is uploaded to ProcessMaker IDP, it undergoes the following steps for analysis and data extraction:

1. **Metadata Extraction:** Metadata such as the author, creation date, and media type is extracted from the document. This metadata helps in organizing and managing the documents efficiently.
2. **OCR Processing:** The OCR service processes every uploaded document to extract text from it. This step involves recognizing and digitizing text from images or scanned documents.
3. **Classification:** The classification service analyzes the document and classifies it into one or more predefined document types based on the model being used.
4. **Model Analysis:** The document is processed using a trained model to generate a Model Result. This result provides further insights and structured data extracted from the document.
   * **Object Detection:** The Model also identifies Objects in the document.
   * **NER (Named Entity Recognition):** Static models are to used to identify information (address, organization, etc.) in the document. Anonymization also occurs at this step.
   * **AI Model Gateway:** If configured, custom AI Models can also be used for processing documents.
5. **Store Metadata:** The extracted metadata is then stored in the database for further processing and easy retrieval.

Watch the following product tour to get a quick overview of how IDP processes documents. 

{% embed url="<https://demos.processmaker.com/demo/clydew6oh0pkrthf7zx87e0fn>" %}