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Compare custom models in Microsoft Syntex

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Use the following table to see differences in custom models to help identify the most appropriate model to use for your needs.

Feature Unstructured document processing Freeform document processing Structured document processing
Associated with this option in the UI Single class model Freeform extraction model Structured extraction model
Use for this type of content Unstructured or semi-structured file formats, for example Office documents where there are differences in the layout, but still similar information to be extracted. Unstructured and free-form file formats, for example documents that have no set structure such as letters, contracts, and statements of work. Structured and semi-structured file formats, for example PDFs for forms content such as invoices or purchase orders where the layout and formatting is similar.
Model creation Model created in SharePoint in a new site, the content center. Model created in AI Builder with seamless access from SharePoint document library. Model created in AI Builder with seamless access from SharePoint document library.
Classification type Trainable classifier with optional extractors using machine teaching to assign document location on what data to extract. Not applicable Not applicable
Locations Can be applied to multiple libraries. Can be applied to multiple libraries. Can be applied to multiple libraries.
Supported file types Train on 5-10 .pdf, Office, or email files, including negative examples.
Files are truncated at 64,000 characters. OCR-scanned files are limited to 20 pages. Supports more than 20 file types. See supported file types.		 Train on .pdf, .jpg, or .png format, total 50 MB and 500 pages. Train on .pdf, .jpg, or .png format, total 50 MB and 500 pages.
Integrate with managed metadata Yes, by training entity extractor referencing a configured managed metadata field. No No
Compliance feature integration with Microsoft Purview Information Protection Set published retention labels.
Set published sensitivity labels.		 Set published retention labels.
Set published sensitivity labels.		 Set published retention labels.
Set published sensitivity labels.
Supported regions Available in all regions. Relies on Power Platform. For information about global availability for Power Platform and AI Builder, see Power Platform availability. Relies on Power Platform. For information about global availability for Power Platform and AI Builder, see Power Platform availability.
Transactional cost For pay-as-you-go licensing, see pricing.
For per-user licensing, not applicable.		 For pay-as-you-go licensing, not applicable.
For per-user licensing, uses AI Builder credits. 3,500 credits are included for each Syntex license per month. One million credits allow processing of 10,000 file pages.		 For pay-as-you-go licensing, not applicable.
For per-user licensing, uses AI Builder credits. 3,500 credits are included for each Syntex license per month. One million credits allow processing of 10,000 file pages.
Capacity No capacity restrictions. Uses the default Power Platform environment (custom environments with Dataverse database supported). Uses the default Power Platform environment (custom environments with Dataverse database supported).
Supported languages Supports more than 40 languages. Supports more than 40 languages. Supports more than 100 languages.