Document Filters for AI Solutions
In the dynamic realm of AI development, Hyland's Document Filters is a game-changer, offering developers a versatile toolkit for file identification, content extraction, document transformation, and document conversion across over 600 file formats. Our presentation underscores its pivotal role in AI solutions, from enhancing data security with robust redaction features to streamlining operations, and to reducing costs. As AI companies integrate Document Filters into their enterprise offerings, it exemplifies the toolkit's potential to revolutionize AI applications, ensuring efficiency, security, and compliance in our data-driven future.
Watch as we walk through an overview of Hyland Document Filters and its benefits for AI solutions.
Running the Document Filters Samples
You can try out various features using the Document Filters sample apps on GitHub.
To get started with the Document Filters sample applications:
- Clone or download the Document Filters sample repo from GitHub.
- Update the Document Filters license key by either modifying the
DocumentFiltersLicense
file or setting it in an environment variable namedDF_LICENSE_KEY
.- You can run the sample applications without a license key, with some limitations. See Document Filters Evaluation for details.
- Build
Document Filters Samples.sln
and run theConvertDocumentWithComments
app, while passing in an input document.
Add Document Filters to an Existing App
Once you're ready to integrate Document Filters into your application, you can follow these guides:
- Getting Started with .NET
- Getting Started with Python
- Getting Started with Java
- Getting Started with C
- Getting Started with C++
- Getting Started with COM