--- title: "Managing Transcription Models" slug: "managing-transcription-models" description: "Manage and configure Transcription models effectively, balancing automation and human review for optimal accuracy and performance throughout their lifecycle." updated: 2026-10-21T00:37:43Z published: 2026-10-21T00:37:43Z canonical: "help.hyperscience.ai/managing-transcription-models" --- > ## Documentation Index > Fetch the complete documentation index at: https://help.hyperscience.ai/llms.txt > Use this file to discover all available pages before exploring further. # Managing Transcription Models Use this article to configure and manage Transcription models throughout their lifecycle. > [!NOTE] > Before you begin > > To understand how Transcription models use confidence, target accuracy, and QA data to balance automation and human review, see [Transcription Models Overview](/v44/docs/transcription-models-overview). ## View model details and versions Go to **Models** > **Transcription** to view the Transcription models available in your instance. In the Transcription Models table, select a model to open its details page. The details page shows: - The model name. - The flows using the model. If the complete list is not visible, hover over the partial list. - The model’s supported text types appear as tabs. Tabs for text types that are not included appear in light gray. ![Transcription model details page](https://cdn.us.document360.io/87894cef-4958-4f3f-be6f-b75a78c82548/Images/Documentation/trans_idp.jpg?sv=2026-02-06&spr=https&st=2026-10-31T08%3A57%3A01Z&se=2026-10-31T09%3A57%3A01Z&sr=c&sp=r&sig=cM77ZMqkatiLDklFq7P8plKo5MfUPKjVn60sMNp3zpA%3D) Select a model tab to view: - The model status and the total number of eligible QA records. - Before the model is trained, a yellow progress bar shows how many more QA records are required. - After the model is trained, the progress bar is green and full. - Available model versions. - A new version is added after each completed training run. - The Available Models table shows the version name and UTC training timestamp, the training date, whether the version is live or archived, and the available download, deployment, or deactivation actions. > [!NOTE] > A Transcription model is configured at the flow level > > This determines how extracted values are evaluated and handled within that flow. ## Assign a transcription model to a flow To use a transcription model, assign it to your Document Processing flow. 1. Export your flow by following the steps in the interactive walkthrough below: [Embedded content](https://app.storylane.io/demo/j7nj474hnzqo?embed=inline) 1. Open the Document Processing Flow on your machine. ![](https://cdn.us.document360.io/87894cef-4958-4f3f-be6f-b75a78c82548/Images/Documentation/flows_transcription.jpg?sv=2026-02-06&spr=https&st=2026-10-31T08%3A57%3A01Z&se=2026-10-31T09%3A57%3A01Z&sr=c&sp=r&sig=cM77ZMqkatiLDklFq7P8plKo5MfUPKjVn60sMNp3zpA%3D) 1. Find the `transcription_model` property in the JSON file. ![](https://cdn.us.document360.io/87894cef-4958-4f3f-be6f-b75a78c82548/Images/Documentation/json_transcription.jpg?sv=2026-02-06&spr=https&st=2026-10-31T08%3A57%3A01Z&se=2026-10-31T09%3A57%3A01Z&sr=c&sp=r&sig=cM77ZMqkatiLDklFq7P8plKo5MfUPKjVn60sMNp3zpA%3D) 1. Set the name of your model and save the changes on your machine. ![](https://cdn.us.document360.io/87894cef-4958-4f3f-be6f-b75a78c82548/Images/Documentation/configuring_transcirption.gif?sv=2026-02-06&spr=https&st=2026-10-31T08%3A57%3A01Z&se=2026-10-31T09%3A57%3A01Z&sr=c&sp=r&sig=cM77ZMqkatiLDklFq7P8plKo5MfUPKjVn60sMNp3zpA%3D) 1. Import the JSON file into the system and find your Transcription model in **Models** > **Transcription**. See the interactive walkthrough below for guidance: [Embedded content](https://app.storylane.io/demo/il8dx1k6xevf?embed=inline) ## Train an individual model When enough eligible QA records are available, you can start training manually regardless of whether daily autotraining is enabled. 1. Go to **Models** > **Transcription**. 2. Select the Transcription model you want to train. 3. Select the tab for the applicable text type. 4. Select **Run Training**. After training finishes, a new version appears in the Available Models table. ## Monitor model behavior Monitor both model-level projections and production outcomes. Neither one is sufficient by itself: - Use the `ProjectedTranscriptionAutomation` CSV file in the [Keyer Projection Report](/v44/docs/keyer-projection-report) to review when the model was last trained, projected automation at different target accuracies, and the projection’s margin of error. - Use **Reporting** > **Automation** to monitor actual Field Transcription Automation and Table Transcription Automation. Filter by date range, flow, and layout variation to isolate where a change occurred. To learn more, see [Automation](/v44/docs/automation). - Use the `HourlyReportingTaskOverview` data in the Keyer Projection Report to monitor the number of Transcription tasks entering and remaining in the work queue. A decrease in automation can create additional manual work and processing delays even when model accuracy has not decreased. ## Deploy a different model version If a model version causes an unexpected loss of automation, you can deploy an older compatible version while you investigate. Only one model version can be live for each text type, such as Latin Semi-structured, Checkbox, or Signature. 1. Go to **Models** > **Transcription**. 2. Select the Transcription model that contains the model version you want to deploy. 3. Select the tab for the applicable text type. 4. In the Available Models table, find the version and select **Deploy Model** (![Deploy Model icon](https://cdn.us.document360.io/87894cef-4958-4f3f-be6f-b75a78c82548/Images/Documentation/24808464705037.png?sv=2026-02-06&spr=https&st=2026-10-31T08%3A57%3A01Z&se=2026-10-31T09%3A57%3A01Z&sr=c&sp=r&sig=cM77ZMqkatiLDklFq7P8plKo5MfUPKjVn60sMNp3zpA%3D)). The newly deployed version becomes live, and the previously deployed version is archived automatically. ## Deactivate a model You can deactivate a model without deploying another version. After deactivation, no model version is active for that text type. 1. Go to **Models** > **Transcription**. 2. Select the Transcription model. 3. Select the tab for the applicable text type. 4. In the Available Models table, open the menu for the live version and select **Deactivate**. The previously deployed version is archived automatically. ## Download Transcription models You can download the complete Transcription model package or an individual model version. ### Download all models 1. Go to **Models** > **Transcription**. 2. In the Transcription Models table, select the model you want to download. 3. Select **Download all models**. The models are downloaded in a ZIP file named `confidence_thresholding_model_export.zip`. ### Download an individual model version 1. Go to **Models** > **Transcription**. 2. In the Transcription Models table, select the model that contains the version you want to download. 3. Select the tab for the applicable text type. 4. In the Available Models table, find the version and select **Download Model** (![Download Model icon](https://cdn.us.document360.io/87894cef-4958-4f3f-be6f-b75a78c82548/Images/Documentation/24808464704781.png?sv=2026-02-06&spr=https&st=2026-10-31T08%3A57%3A01Z&se=2026-10-31T09%3A57%3A01Z&sr=c&sp=r&sig=cM77ZMqkatiLDklFq7P8plKo5MfUPKjVn60sMNp3zpA%3D)). The model is downloaded in a ZIP file named `confidence_thresholding_model_export.zip`. ## Import Transcription models You can import models trained in a development environment into a production environment without retraining them after import. > [!NOTE] > Before importing a model > > Make sure the model's flows and releases are available in the destination environment. Importing a model before its flows and releases produces errors. See [Upload an existing release](/v44/docs/adding-a-new-release#upload-an-existing-release) and [Import a flow](/v44-user-guide/docs/managing-flows#import-a-flow). 1. Go to **Models** > **Transcription**. 2. In the Transcription Models table, select the destination Transcription model. 3. Select **Upload model**. You do not need to select a text type first; the system detects it during import. 4. Drag the model ZIP file into the Import dialog, or select **Choose Files** and open the file. 5. Select **Import**. The imported model appears under the tab for its text type. ### Import models from other versions A Transcription model trained on a different version can be imported successfully, but it does not appear in the model list unless its version matches the current instance. See [Compatibility Across Application, Flow, and Model Versions](/v44/docs/compatibility-across-application-flow-and-model-versions).