Trainable splitter (Preview)

新しいプロジェクトを作成する

When creating a new project, tenants located in Europe, the US and Japan may enable our new splitter and classifier model. This trainable model can automatically split and classify complex documents, enabling you to turn messy packets into clean, typed documents.

Follow the instructions from this page to a Document Understanding^TM project and enable the new splitter and classifier model:

1. Document Understanding を開きます。
2. [ プロジェクトを作成] を選択します。
3. 希望のプロジェクト名を入力します。
4. モダン エクスペリエンスを表す [モダン] を選択します。
   Note: This is a guided model building experience that also includes recommendations for optimal model performance and active learning.
5. Switch on the Enable new splitter and classifier model toggle.
6. 必要に応じて [詳細オプション] を設定します。
   1. Switch on the Enable splitting toggle to enable the model to automatically split documents into individual files before classification. You can also enable this feature from the Project settings screen.
      Important: When the Enable splitting option is turned off, all documents are classified as a whole.
   2. [OCR メソッド] ドロップダウン リストから、新しいプロジェクトで使用する OCR を選択します。
   3. [OCR API キー] にキーを入力します。
      注: UiPath® の OCR を選択した場合、このフィールドには自動的に入力されます。
   4. [OCR の URL] に OCR の URL を入力します。UiPath の OCR の URL の完全なリストについては、「パブリック エンドポイント」をご覧ください。
   5. [PDF に OCR を適用] で、PDF に OCR を適用するかどうかを選択します。既定では [自動] に設定されています。
7. [作成] を選択します。
   Figure 1. Figure 1. Creating your first project

プロジェクトが正常に作成されたら、[ビルド] セクションからドキュメントをアップロードできます。

Choose one of the two available options:

• Extract data from documents: pulls specific fields, such as invoice numbers, dates, total from your documents etc.
  Note: We recommend choosing this option when you need structured data for automation or reporting.
• Classify and split documents: sorts documents by type and separates multiple documents within a single file.
  Note: We recommend choosing this option when you need to organize and prepare documents for extraction.

Extracting data from documents

1. Select a document type.
2. Select Upload or drag and drop your files inside the new document type. Wait for the upload to finish.

Classify and split documents

Certain complex files contain several document types. Our new model can detect where each sub-document starts and ends and classify each section accordingly.

1. Click on Classify and Split Documents and upload your document packets. Wait for the document to finish uploading and processing.

2. Select any documents from the upload section and click Split. This will open up the splitting annotation interface.

   
   Note: If the project already has a trained model, uploaded documents will be pre-annotated using that model. This helps speed up annotation and allows you to view prediction results on new documents.

3. Click New document type to create a document type for each item in your desired taxonomy. You can select a predefined document type or create a custom one.

   
   Note: For custom document types, provide a name, a short description explaining its purpose, and comma-separated key indicators (such as unique fields or terms) that help identify it.

4. Indicate where documents should be separated. Assign each page range to a document type using the dropdown menu. Once you have finished annotating the document, click Confirm.

   
   Note: Clicking Confirm triggers document processing. After processing, each sub-document will appear under its corresponding document type in the Build section.
   Note: Each sub-document moved to a document type will get pre-annotated with the schema of the document type.

モデルのトレーニング

Model training is triggered only after:

• At least five sub-documents have been created and annotated;
• A document has been confirmed.

The training status can be viewed in the upper right-hand corner of the Classification pane.

重要:

• The maximum document size is 160MB or 500 pages.
• Pages cannot be reordered or deleted.

Splitting and classification predictions

Whenever a new model is trained, all documents within the project receive predictions from the trained model. This allows you to review the performance of the classification model.

The “Type” column displays the ground truth, which is the document type as it was annotated. The “Predicted type” column shows the type predicted by the model.

By default, only the document packets are displayed in the UI. To view the sub-documents within each packet, click View and select the Include sub-documents checkbox.

Predictions can also be viewed in the annotation interface by enabling the “Show Prediction” toggle.