Apryse Server SDK release notes

v11.8.0
In this release, we continue to build on the server-side Smart Data Extraction (SDE) features which turn documents and their metadata into powerful tools for downstream system consumption.

We’re excited to announce Document Classification, an AI-trained SDK API that identifies each file on upload based on a predefined set of 18 categories, so you can validate intake, route to the right workflow, or add metadata for processing later. The output includes the predicted label with a confidence score in structured JSON for easy integration into your solution.

The benefits of using this feature include:

• Automatically identify document types from a predefined set of 18 categories such as invoices, receipts, IDs, budgets, contracts, and more.
• Detects and assigns each page a type and confidence score.
• You decide the thresholds for automated routing or manual reviews.
• Provides easy integration into downstream workflows.

See the following documentation for developing this feature:

• Review core capabilities and key use cases
• Set up Document Classification guide
• Reduce package size for the Smart Data Extraction module
• Automatically identify and extract meaningful key-value pairs from PDFs
• Install and configure the Data Extraction Module
• Find and extract Smart Data from PDF samples

We’re excited to announce CAD Title Block Extraction, an AI-powered API that automatically detects and extracts key information from engineering drawings. Building upon our Key-Value Extraction, it's designed to help architecture, engineering, and construction (AEC) projects by eliminating the need for time-consuming manual searches and data entry.

The tool uses a custom trained AI model to locate the title block in a drawing and extract the important metadata such as company details, project and creator information, drawing number, revision, date, and professional stamps or licenses. Once extracted, this metadata is output into structured JSON format, which can be used by software providers and AEC organizations to create efficient search and indexing systems.

The benefits of using this feature include:

• Transform static PDF drawings into structured data to easily search, track, audit, and synchronize across systems.
• Automate to reduce manual effort and human data entry error.
• Provide enhanced scalability without manual intervention or client-side software.

See the following documentation for developing this feature:

• Set up Smart Data Extraction guide
• Find and extract Smart Data from PDF samples

See our latest Changelog for more Server SDK release information, including new APIs and bug fixes.

v11.6.0
In this release, we continue to build on the server-side PDF editing capability with a scalable and automated search-and-replace functionality for PDFs with layout-preserving reflow. This allows organizations to apply consistent changes (e.g. brand updates, regulatory revisions, contractual terms) without compromising design or introducing manual editing risk.

We’re excited to announce programmatic text editing that enables precise search-and-replace in PDFs while preserving the original layout, fonts, and structure. Programmatic text editing uses Apryse’s native PDF editing engine to find and replace text content. Page layout is recalculated dynamically, so changes are absorbed into the document without affecting visual quality or structure. You can automate complex document edits at scale using this new feature.

The benefits of using this feature include:

• Automating changes to PDFs.
• Batch processing across high volumes of PDFs.
• Control over sensitive content since all the processing happens on the server.
• No need for client-side dependencies or third-party tools.
• Retaining original font, formatting, and visual fidelity across edits.

See the following documentation for developing this feature:

• Find and replace text in PDFs guide
• Find and replace text in PDFs samples

See our latest Changelog for more Server SDK release information, including bug fixes.