Compare custom models in Microsoft Syntex

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 training method in the UI
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.