DocLD vs Nanonets
Nanonets offers AI-powered OCR and data extraction with pre-built and custom models, no-code workflows for review and approval, and a REST API. DocLD provides a complete document intelligence platform with extraction, knowledge bases, RAG chat, and visual workflow automation. Choose based on whether you need no-code review workflows or an integrated platform with chat and search.
End-to-end platform with extraction, knowledge bases, chat, and workflow automation
AI-powered document OCR and extraction with no-code workflows and 300+ document types
Feature Comparison
Core Capabilities
| Feature | DocLD | Nanonets | Notes |
|---|---|---|---|
| Document Parsing | Both support multi-format parsing | ||
| OCR Technology | VLM-based | AI-powered OCR | Nanonets processes in 3–5 seconds |
| Pre-built Models | Invoice, receipt, forms, etc. | ||
| Custom Extraction | Both support custom fields and tables | ||
| Table Extraction | Both handle tables | ||
| File Formats | 30+ | PDF, PNG, JPEG | DocLD supports more formats |
| Manual Data Editing | Both allow edit/add/delete of extracted data | ||
| Confidence Scores | Both provide confidence |
Knowledge Base & Chat
| Feature | DocLD | Nanonets | Notes |
|---|---|---|---|
| Knowledge Bases | DocLD exclusive | ||
| RAG Chat | DocLD exclusive | ||
| Citation Tracking | DocLD exclusive | ||
| Semantic Search | DocLD exclusive | ||
| Vector Embeddings | DocLD exclusive |
Workflow & Review
| Feature | DocLD | Nanonets | Notes |
|---|---|---|---|
| Visual Workflow Builder | Review workflows | DocLD: full automation; Nanonets: approve/reject, assign for review | |
| Workflow Templates | Pre-built models | DocLD has invoice, contract, resume workflows | |
| Scheduled Workflows | Partial | Nanonets has import/export integrations | |
| Webhook Triggers | Both support webhooks/integrations | ||
| External Integrations | Both import from sources and export to apps |
Enterprise Features
| Feature | DocLD | Nanonets | Notes |
|---|---|---|---|
| HIPAA Compliance | Partial | Check Nanonets for current BAA | |
| GDPR Compliance | Partial | DocLD has deeper GDPR features | |
| Organization Support | Partial | DocLD has multi-tenant organizations | |
| REST API | Both offer API and SDKs | ||
| Analytics Dashboard | Partial | DocLD has built-in dashboards |
Use Case Comparison
Invoice & Receipt Processing
- 1Upload invoice or receipt
- 2Auto-detect and extract with schema
- 3Workflow routes by amount or vendor
- 4Email or Slack notification
- 5Add to knowledge base for search
- 6View in analytics dashboard
- 1Import document via API or integration
- 2Use pre-built or custom model to extract
- 3Approve or reject in workflow
- 4Assign for review if needed
- 5Export to ERP or business app
- 6Build custom analytics if needed
Verdict: DocLD provides end-to-end automation with knowledge base and chat. Nanonets excels at no-code review workflows and export to external apps.
Contract & Document Extraction
- 1Upload contracts to knowledge base
- 2Extract key terms and parties
- 3Chat with contracts using RAG
- 4Semantic search across all documents
- 5Workflow alerts for expirations
- 6Share insights with team
- 1Upload via API or integration
- 2Extract with custom model
- 3No built-in chat; build custom or use another tool
- 4Export data to external search
- 5Build custom alerting
- 6Use Nanonets for extraction only
Verdict: DocLD's knowledge bases and RAG chat make contract analysis turnkey. Nanonets is strong for extraction and review; chat and search require custom build.
Custom Document Types
- 1Define extraction schema
- 2Upload sample documents
- 3Run extraction via API or workflow
- 4Monitor quality in dashboard
- 5Optionally add to knowledge base
- 1Create custom model or use instant learning
- 2Configure fields and table headers
- 3Process via API
- 4Review and correct in workflow
- 5Export to downstream systems
Verdict: Both support custom document types. Nanonets emphasizes instant-learning workflows; DocLD adds knowledge base and workflow automation in one place.
Strengths & Weaknesses
DocLD
- End-to-end platform: Extraction, knowledge bases, chat, and workflows in one
- Knowledge bases and RAG chat: Built-in document Q&A and semantic search
- Visual workflow builder: No-code automation with templates
- Analytics dashboard: Built-in usage and quality metrics
- Broader file format support: 30+ formats including presentations, spreadsheets
- Team collaboration: Organization support and sharing
- Pre-built model variety: Nanonets advertises 300+ document types
- Review UX: Nanonets is built around approve/reject and assign-for-review flows
- Enterprise footprint: Nanonets is used by many large enterprises (e.g. Deloitte, Roche)
Nanonets
- No-code workflows: Approve, reject, assign for review without code
- Pre-built and instant learning: 300+ document types; custom models with minimal training
- Fast processing: Documents in 3–5 seconds
- REST API and SDKs: Python, JavaScript, and others
- External integrations: Import from sources, export to business applications
- Manual data editing: Edit, add, delete extracted data in UI
- Wide adoption: Used by 10,000+ customers including enterprises
- No knowledge bases: Must use another tool for document organization and search
- No RAG chat: No built-in document Q&A; build custom or integrate elsewhere
- Limited format support: PDF, PNG, JPEG vs DocLD’s 30+ formats
- Workflows are review-focused: Less emphasis on general automation (routing, notifications)
When to Choose Each Platform
Choose DocLD when...
DocLD provides RAG chat and semantic search out of the box. Nanonets does not.
Choose Nanonets when...
Nanonets is built for approve/reject and assign-for-review with minimal code.
Migration Guide
How to migrate from Nanonets to DocLD
Export Your Data
Export your extraction models, configured fields, and any stored results from Nanonets via API or dashboard.
Create DocLD Account
Sign up for DocLD and set up your organization. Invite team members who need access.
Recreate Extraction Schemas
DocLD uses schema-based extraction. Map your Nanonets fields and table headers to DocLD schemas.
Upload Documents
Upload documents to DocLD via the web interface or API for bulk import.
Create Knowledge Bases
Organize documents into knowledge bases for search and chat—a new capability compared to Nanonets.
Build Workflows
Create visual workflows in DocLD for routing, notifications, and scheduling. Use templates as a starting point.
Update API Integrations
Switch your applications from Nanonets API to DocLD's API. Endpoints and payloads differ; update clients accordingly.
Frequently Asked Questions
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