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Form Recognizer Studio

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This article applies to: Form Recognizer v3.0 checkmark Form Recognizer v3.0.

Form Recognizer Studio is an online tool for visually exploring, understanding, and integrating features from the Form Recognizer service into your applications. Use the Form Recognizer Studio quickstart to get started analyzing documents with pretrained models. Build custom template models and reference the models in your applications using the Python SDK v3.0 and other quickstarts.

The following image shows the Invoice prebuilt model feature at work.

Form Recognizer Prebuilt example

Form Recognizer Studio features

The following Form Recognizer service features are available in the Studio.

  • Read: Try out Form Recognizer's Read feature to extract text lines, words, detected languages, and handwritten style if detected. Start with the Studio Read feature. Explore with sample documents and your documents. Use the interactive visualization and JSON output to understand how the feature works. See the Read overview to learn more and get started with the Python SDK quickstart for Layout.

  • Layout: Try out Form Recognizer's Layout feature to extract text, tables, selection marks, and structure information. Start with the Studio Layout feature. Explore with sample documents and your documents. Use the interactive visualization and JSON output to understand how the feature works. See the Layout overview to learn more and get started with the Python SDK quickstart for Layout.

  • General Documents: Try out Form Recognizer's General Documents feature to extract key-value pairs. Start with the Studio General Documents feature. Explore with sample documents and your documents. Use the interactive visualization and JSON output to understand how the feature works. See the General Documents overview to learn more and get started with the Python SDK quickstart for Layout.

  • Prebuilt models: Form Recognizer's prebuilt models enable you to add intelligent document processing to your apps and flows without having to train and build your own models. As an example, start with the Studio Invoice feature. Explore with sample documents and your documents. Use the interactive visualization, extracted fields list, and JSON output to understand how the feature works. See the Models overview to learn more and get started with the Python SDK quickstart for Prebuilt Invoice.

  • Custom models: Form Recognizer's custom models enable you to extract fields and values from models trained with your data, tailored to your forms and documents. Create standalone custom models or combine two or more custom models to create a composed model to extract data from multiple form types. Start with the Studio Custom models feature. Use the online wizard, labeling interface, training step, and visualizations to understand how the feature works. Test the custom model with your sample documents and iterate to improve the model. See the Custom models overview to learn more and use the Form Recognizer v3.0 migration guide to start integrating the new models with your applications.

Next steps

Form Recognizer Studio quickstart