Floowed vs Nanonets: Which AI Document Processing Platform Should You Choose?
Both Floowed and Nanonets use artificial intelligence to automate document processing, but they approach the problem from different angles. Understanding these differences is critical if you are evaluating platforms for your team.
Nanonets is an API-first, no-code document extraction platform. It excels at pulling structured data from documents using deep learning models, supports 160+ languages, and is popular with developer teams that want to build extraction into custom pipelines.
Floowed is an end-to-end document intelligence and workflow automation platform. Extraction is one capability within a broader system that handles document ingestion, intelligent routing, validation, approval workflows, and integration with enterprise systems. It is built for operations teams that need to automate entire document processes, not just the extraction step.
This head-to-head comparison covers every major dimension to help you decide.
Feature Comparison: Floowed vs Nanonets
Document Processing and Extraction
Both platforms extract data from documents without requiring pre-built templates. Nanonets uses deep learning models trained on document types like invoices, receipts, purchase orders, contracts, claims, passports, and driver's licenses. Its no-code interface lets non-technical users set up extraction workflows quickly.
Floowed processes the same document types plus handles complex multi-page documents, identity verification, insurance forms, and lending documents. The key difference is what happens after extraction: Floowed automatically routes documents through configurable business workflows, while Nanonets outputs extracted data for downstream consumption.
Accuracy and AI Technology
Floowed delivers 99%+ extraction accuracy through its Document Intelligence engine, which combines OCR with contextual understanding of document structure and data relationships.
Nanonets reports high accuracy across document types (specific numbers are not publicly disclosed), with deep learning models that improve over time through usage. Nanonets is trusted by 34% of Fortune 500 companies, suggesting enterprise-grade reliability.
Both platforms include human-in-the-loop validation for edge cases. Floowed integrates validation into its workflow engine natively. Nanonets provides a review interface as part of its extraction pipeline.
Workflow Automation
Floowed provides comprehensive built-in workflow automation: configurable document routing rules, multi-step approval chains, conditional logic based on extracted data, exception handling, and automated downstream actions. Business logic is configured once and executes automatically for every document.
Nanonets offers basic workflow capabilities through its platform and broader automation via integrations with Zapier, Salesforce, QuickBooks, and other tools. For complex multi-step workflows, Nanonets relies on external orchestration. This works for teams with existing workflow infrastructure but adds complexity for teams starting from scratch.
API and Developer Experience
Nanonets shines here. It is designed as an API-first platform with comprehensive documentation, making it ideal for developer teams building custom document processing pipelines. The no-code interface complements the API for non-technical users.
Floowed provides a robust API for integration with existing systems, but its primary interface is a configurable platform rather than an API-first tool. Teams that want to build custom extraction pipelines may prefer Nanonets. Teams that want pre-built workflow automation without custom development may prefer Floowed.
Language Support
Nanonets supports 160+ languages, making it one of the broadest multilingual extraction platforms available. This is a significant advantage for global organizations processing documents in diverse languages.
Floowed supports major business languages with strong performance on English, and growing multilingual capabilities. For organizations processing documents primarily in English and major European/Asian languages, both platforms work well. For rare languages, Nanonets has the edge.
Pricing Model
Floowed uses subscription pricing with predictable monthly costs. This model works well for teams with variable document volumes because costs stay flat regardless of processing spikes.
Nanonets charges per page (approximately $0.30/page) with additional fees for formatting, lookups, and premium integrations. Starting credit is $200. Per-page pricing is transparent but can scale up significantly at high volumes — processing 15,000 pages/month at $0.30 runs $4,500/month before add-on fees.
Deployment Options
Floowed is cloud-based with enterprise security. Nanonets offers cloud, private cloud, and on-premises deployment via Docker containers, giving more flexibility for data-sensitive organizations.
When to Choose Floowed
Floowed is the better choice when your team needs end-to-end document workflow automation, not just extraction. It is ideal for:
- Operations teams automating multi-step document processes (lending, insurance, AP/AR)
- Mid-market companies that want configurable workflows without developer resources
- Finance teams needing built-in approval chains, validation rules, and exception handling
- Organizations that prefer predictable subscription pricing over per-page costs
When to Choose Nanonets
Nanonets is the better choice when your primary need is flexible, API-first document extraction. It works well for:
- Developer teams building custom document processing pipelines
- Organizations processing documents in 160+ languages
- Teams that need no-code extraction setup with deep API access
- Companies requiring on-premises or Docker-based deployment
- Lower-volume use cases where per-page pricing is cost-effective
The Bottom Line
Nanonets is an excellent extraction platform with exceptional language coverage and developer-friendly APIs. Floowed is a complete document automation platform that handles extraction, workflows, validation, and integration in one system.
If you are a developer team that wants to build custom pipelines, Nanonets gives you the extraction foundation and API flexibility to do so. If you are an operations team that wants to automate end-to-end document workflows without writing code or stitching together multiple tools, Floowed delivers that out of the box.
Frequently Asked Questions
Does Nanonets support more languages than Floowed?
Yes. Nanonets supports 160+ languages, one of the broadest multilingual capabilities available. Floowed supports major business languages with growing multilingual coverage. For organizations processing documents in rare or diverse languages, Nanonets has a clear advantage.
Is Nanonets better for developers than Floowed?
Nanonets is API-first with comprehensive developer documentation and a no-code fallback. It is designed for developer teams building custom extraction pipelines. Floowed is designed for operations teams that want pre-built workflow automation. Both have APIs, but Nanonets centers its experience around the developer workflow.
Which platform is cheaper for high-volume processing?
Floowed's subscription pricing becomes more cost-effective at higher volumes because costs are predictable regardless of page count. Nanonets' per-page pricing scales linearly, so costs rise with volume. At 10,000+ pages/month, Floowed typically offers better unit economics.
Can Nanonets handle workflow automation?
Nanonets offers basic workflow features and integrates with tools like Zapier and Salesforce for broader automation. For complex multi-step business workflows with conditional logic and approval chains, Floowed's built-in workflow engine provides more depth without external tools.
Which platform has better accuracy?
Floowed reports 99%+ accuracy with its Document Intelligence engine. Nanonets reports high accuracy with deep learning models that improve over time. Both include human-in-the-loop validation for complex cases. Accuracy also depends on document type and quality.
%20Software%20in%202026.png)
%20(1).png)
