Nanonets is an AI-based OCR software that helps businesses extract data from documents with high accuracy.
Custom pricing
Best Unstract Alternatives ranked by AI · updated Aug 2026
Unstract is an open-source and hosted platform for extracting structured data from unstructured documents. It is designed for developers and data teams that want configurable LLM-powered document workflows without building every component from scratch.
Top 6 Unstract alternatives
Docsumo is a document data capture software that helps automate data entry from various types of documents.
Custom pricing
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
Struct is a document intelligence platform that turns unstructured files such as PDFs and forms into structured data. It is aimed at...
Pros
- Schema-based extraction is more adaptable than fixed OCR templates
- Designed for automated document workflows rather than manual scanning
- Can reduce custom model-development work for engineering teams
Cons
- Less established than Google, Microsoft, and AWS document AI services
- Custom pricing makes direct cost comparison difficult
- May require technical setup for production integrations
Custom pricing
5
Azure AI Document Intelligence
Microsoft
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
Pay-as-you-go; free tier available
6
Google Cloud Document AI
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
Pay-as-you-go; free tier available
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