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Best Struct Alternatives ranked by AI · updated Aug 2026

Struct is a document intelligence platform that turns unstructured files such as PDFs and forms into structured data. It is aimed at teams building document-processing workflows, with schema-driven extraction for connecting documents to operational systems.

Developer: Struct Price: Custom pricing 🎯 structnft.com

Top 6 Struct alternatives

1

Unstract

Unstract

πŸ’‘ Pick it for an open-source, self-hostable alternative with visual LLM document workflows.

Unstract is an open-source and hosted platform for extracting structured data from unstructured documents. It is designed for developers and data teams...

Pros

  • Open-source option provides more control than Struct's hosted approach
  • Visual workflow builder reduces the need for custom orchestration code
  • Supports multiple LLM providers and document-processing pipelines

Cons

  • Requires more deployment and maintenance work than a fully managed service
  • Extraction quality depends on model and prompt configuration
  • Less turnkey for conventional invoice-processing operations than Nanonets

Free, hosted plans from custom pricing

πŸ’‘ Pick it for prebuilt invoice and finance workflows with business-user-friendly review tools.

Nanonets is an AI-based OCR software that helps businesses extract data from documents with high accuracy.

3 Rossum logo

Rossum

Rossum

πŸ’‘ Pick it for enterprise invoice and purchase-order automation with mature validation workflows.

Rossum is a cloud-native intelligent document processing platform focused on extracting data from business documents such as invoices, purchase orders, and shipping...

Pros

  • Strong fit for accounts payable and transactional document workflows
  • Cloud-native deployment reduces infrastructure management
  • Modern review interface supports exception handling

Cons

  • Narrower use-case coverage than Botminds for enterprise knowledge search
  • Less suitable for highly customized on-premises deployments
  • Pricing is quote-based and generally aimed at business teams

πŸ’‘ Pick it for configurable extraction in lending, insurance, and other document-heavy regulated workflows.

Docsumo is a document data capture software that helps automate data entry from various types of documents.

πŸ’‘ Pick it for enterprise-grade document extraction integrated with an existing Microsoft Azure stack.

Azure AI Document Intelligence is a cloud service that uses OCR and machine learning to extract text, fields, tables, and document structure....

Pros

  • Developer-friendly APIs and SDKs for custom applications
  • Integrates closely with Azure AI, storage, security, and data services
  • Supports prebuilt and custom extraction models

Cons

  • Requires application development for complete workflows and user experiences
  • Less turnkey than Botminds for business-user configuration
  • Cloud-only Azure dependency may limit deployment flexibility
6

πŸ’‘ Pick it for scalable custom extraction and broad prebuilt processors on Google Cloud.

Google Cloud Document AI is a cloud platform for OCR, document classification, data extraction, and custom document processing. It serves developers and...

Pros

  • Strong OCR and machine-learning capabilities for varied documents
  • Provides specialized processors for invoices, lending, procurement, and identity documents
  • Supports custom extraction and classification models

Cons

  • Requires engineering work to match Botminds' end-to-end application experience
  • Workflow management and human review may need additional products
  • Cloud-only deployment can be unsuitable for some regulated environments

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