Docuware Migration

System Overview

Docuware is a widely used document management and workflow automation platform designed to help organizations digitize, manage, and secure their business content. Available in both cloud-hosted and on-premises configurations, Docuware serves a broad customer base with particular strength in the small and mid-size business (SMB) market.

Content in Docuware is organized into file cabinets, each with a defined set of index fields that control how documents are classified and retrieved. The platform supports full-text OCR indexing, stamp annotations, document trays for processing queues, and configurable workflow rules that route documents based on field values or user actions.

While Docuware has earned a strong reputation for ease of use and quick deployment, organizations sometimes outgrow its capabilities or need to consolidate onto an enterprise-wide platform, making migration a common requirement.

Specific Technical Challenges

Docuware's dual deployment model and tightly coupled workflow engine create extraction challenges that vary significantly depending on the environment.

Dynamic Field Type Matching

File cabinet schemas use dynamic field types including text, numeric, date, and keyword fields that must be type-matched to the target system's field definitions. Type mismatches cause data truncation or import failures.

Cloud vs. On-Premise Storage Divergence

Cloud and on-premise deployments use fundamentally different storage backends. On-prem uses SQL plus file system storage, while cloud uses Docuware's managed storage with API-only access. The extraction approach must be completely different for each.

Proprietary Stamp and Annotation Storage

Stamp and annotation overlay data is stored separately from the base document in a proprietary format. Exporting documents without explicitly handling the annotation layer produces clean images that are missing stamps, highlights, and redactions.

Workflow State and Decision History

Workflow states and decision history are tightly coupled to the task management engine and do not export as structured data. Preserving the audit trail of who approved what and when requires custom extraction from workflow tables.

Pipe-Delimited Multi-Value Fields

Index values with pipe-delimited multi-value fields require parsing and splitting for target systems that do not support multi-value indexes. Failing to split these values results in a single concatenated string instead of discrete searchable values.

Unfiled Document Tray Capture

Document trays using the inbox/outbox metaphor contain working documents that are not yet filed into cabinets. These in-progress documents must be captured separately or they are lost during migration since they exist outside the normal filing structure.

How Merkh Helps

Precision adapts its extraction approach to each Docuware deployment, whether cloud-hosted or on-premises. For cloud environments, we leverage the Docuware REST API to perform efficient bulk extraction without disrupting the production system; for on-premises deployments, we work directly with the database and file storage for faster throughput. Our process captures filed documents, tray contents, annotations, and workflow history as a unified package. Every migration includes full reconciliation reporting so you can verify that every document and every index value made it to the target platform.

Docuware Migration Experts