What is Laserfiche?
Laserfiche is an enterprise content management (ECM) platform that handles document storage, retrieval, workflow automation, and records management. It’s been around since the late 1980s and is widely used in government, healthcare, education, and regulated industries.
Teams use Laserfiche for policy libraries, HR document management, records retention compliance, and internal process automation. Its workflow engine is visual and relatively powerful, and it integrates with common enterprise systems.
So why are teams looking for alternatives? A few reasons come up again and again:
Laserfiche is built as a generalist ECM. It handles document storage and retrieval well, but it wasn’t designed with AP automation or intelligent data extraction as a core use case. For finance and operations teams automating invoice processing, PO matching, or structured data extraction, it often requires significant configuration, third-party add-ons, or custom development to get the workflow they actually need.
The Best Laserfiche Alternatives
1. Floowed
Best for: Finance and operations teams automating invoice capture, AP workflows, and structured data extraction
Floowed is an intelligent document processing platform built specifically for teams automating invoice processing, supplier onboarding, and financial document workflows. Unlike Laserfiche’s generalist ECM approach, Floowed focuses on structured data extraction and end-to-end AP automation — it’s not a document storage platform that happens to have some extraction features. It’s an extraction and automation platform that understands financial documents deeply.
Where Floowed stands out is in handling the messy reality of document processing: varying invoice layouts, multi-page contracts, poor scan quality, and inconsistent supplier formatting. Its AI-based extraction adapts to new document types without requiring manual rule-building, which matters when you’re processing documents from hundreds of different suppliers.
Floowed also includes a document workflow automation layer — routing extracted data through approval chains, pushing to ERP systems, and maintaining audit trails. For teams that need extraction and workflow automation together, it’s a more purpose-built choice than extending an ECM platform that wasn’t designed for this use case.
2. Microsoft SharePoint with Power Automate
Best for: Organizations already deep in the Microsoft 365 ecosystem
SharePoint handles document storage and collaboration, and when combined with Power Automate it can handle basic routing and approval workflows. If you’re already paying for Microsoft 365, this is often the path of least resistance.
The limits show up in extraction. SharePoint isn’t an intelligent extraction tool — pulling structured data from invoices or contracts requires connecting additional services like Azure Form Recognizer or third-party APIs. For teams whose main problem is ECM (not extraction), this can work well. For teams whose main problem is getting data out of documents reliably, it’s not a complete answer.
3. DocuWare
Best for: Mid-market teams needing a more modern ECM replacement
DocuWare is a cloud-native ECM platform that handles document capture, storage, workflow, and search. Its capture capabilities are stronger than Laserfiche’s out of the box, and its cloud deployment model is simpler for teams that don’t want on-premises infrastructure.
DocuWare’s extraction quality is better suited to simple, structured forms than to complex multi-layout documents. For teams with reasonably consistent document formats, it can cover both ECM and basic data extraction needs.
4. M-Files
Best for: Teams that need metadata-driven document organization
M-Files takes a different approach to document management: instead of storing documents in folder hierarchies, it organizes them by metadata. This makes retrieval more flexible, especially in environments where the same document needs to be found by multiple properties (project, client, document type, date, etc.).
It’s not primarily an extraction platform, but it integrates with OCR and AI extraction tools. For teams with complex document retrieval requirements, the metadata approach is genuinely useful. For teams primarily focused on invoice automation, it’s likely overkill in some dimensions and insufficient in others.
5. OpenText
Best for: Large enterprises with complex compliance and records management requirements
OpenText is one of the largest enterprise content management vendors, and its platform reflects that — it covers a vast range of content and information management use cases across records management, digital asset management, archiving, and workflow automation.
For most teams, OpenText is more platform than they need. It’s designed for large enterprises with complex, multi-system environments. The implementation and licensing costs reflect that. If you’re replacing Laserfiche because it’s too complex or too expensive, OpenText probably isn’t the right direction.
6. Box with Automation
Best for: Teams that need cloud document storage with basic workflow capabilities
Box is primarily a cloud file storage and collaboration platform. Its workflow automation capabilities have expanded over the years, and it integrates with various third-party tools for extraction and processing.
Like SharePoint, Box works best when the core need is document storage and collaboration, with workflow as a secondary capability. Teams focused on automated data extraction from financial documents will hit the limits of its native capabilities quickly.
How to Choose
The right alternative depends on whether your main problem is ECM or intelligent extraction:
If your primary need is document storage, retrieval, records management, and compliance — and extraction is secondary — then DocuWare, M-Files, or SharePoint with Power Automate are reasonable starting points. They address Laserfiche’s limitations around cloud deployment, modern UX, or cost without fundamentally changing the use case.
If your primary need is extracting structured data from invoices, contracts, or financial documents and routing that data through automated workflows, Floowed is the purpose-built option. Extending an ECM platform with add-ons to get intelligent extraction usually costs more and performs worse than starting with a platform designed for that use case.
The question to ask: are we primarily managing documents, or primarily extracting data from documents? The answer usually points clearly at which category of platform fits.
Finance and operations teams looking to automate invoice automation and document workflows tend to find purpose-built extraction platforms significantly more efficient than extending general-purpose ECM tools.
Finance and operations teams in financial services are consolidating document processing, AP automation, and intelligent extraction into a single end-to-end platform.
Frequently Asked Questions
Is Laserfiche being discontinued?
No, Laserfiche is not being discontinued. It remains an active enterprise content management platform with regular updates and a large installed base, particularly in government, education, and healthcare.
Can Laserfiche handle invoice processing?
Laserfiche can handle some invoice processing use cases, particularly document storage, routing, and approval workflows. For intelligent data extraction from varied invoice layouts, most teams need to add third-party OCR or AI extraction tools on top of the base platform.
How does Laserfiche compare to SharePoint?
Laserfiche has stronger native records management and compliance capabilities than SharePoint, particularly for regulated industries. SharePoint has a larger ecosystem and deeper integration with Microsoft 365. Both require additional tools for intelligent document extraction.
What’s the main limitation of Laserfiche for AP automation?
Laserfiche wasn’t built with AP automation as a primary use case. Getting reliable extraction from varied invoice layouts, automating PO matching, and connecting to ERP systems typically requires significant configuration or third-party add-ons beyond what the platform provides natively.
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