DocLD vs Extend AI
Extend (Extend AI) uses LLMs and computer vision to transform documents into structured data, with extraction, classification, splitting, parser, and composer APIs plus schema versioning and evaluation. DocLD provides a complete document intelligence platform with extraction, knowledge bases, RAG chat, and workflow automation. Choose based on whether you need API-first pipelines or an integrated platform with chat and search.
End-to-end platform with extraction, knowledge bases, chat, and workflow automation
LLM and computer vision document processing with extraction, classification, splitting, and parser APIs
Feature Comparison
Core Capabilities
| Feature | DocLD | Extend AI | Notes |
|---|---|---|---|
| Document Parsing | Both parse multi-format documents | ||
| Structured Extraction | Extend: extraction API; DocLD: schema-based extraction | ||
| Document Classification | Both support document type detection | ||
| Document Splitting | Extend: split API; DocLD: dashboard + AI splitting | ||
| Parser to Markdown | Structured output | Extend has dedicated parser for clean markdown | |
| Composer / Agentic Optimization | Extend Composer optimizes extraction logic automatically | ||
| Tables, Handwriting, Degraded Scans | Both handle complex layouts | ||
| Schema Versioning & Evaluation | Both support versioning and accuracy measurement |
Knowledge Base & Chat
| Feature | DocLD | Extend AI | Notes |
|---|---|---|---|
| Knowledge Bases | DocLD exclusive | ||
| RAG Chat | DocLD exclusive | ||
| Citation Tracking | DocLD exclusive | ||
| Semantic Search | DocLD exclusive | ||
| Vector Embeddings | DocLD exclusive |
Workflow & Orchestration
| Feature | DocLD | Extend AI | Notes |
|---|---|---|---|
| Visual Workflow Builder | DocLD exclusive | ||
| Pipeline Orchestration | Extend: chain processors via API; DocLD: visual workflows | ||
| Workflow Templates | DocLD has pre-built templates | ||
| Scheduled Workflows | Custom | Extend requires custom scheduling | |
| Webhook Triggers | API | Both can be triggered by external events |
Developer & Enterprise
| Feature | DocLD | Extend AI | Notes |
|---|---|---|---|
| REST API | Both offer APIs | ||
| Official SDKs | Both reduce integration effort | ||
| Evaluation Tooling | Both support accuracy measurement | ||
| HIPAA Compliance | Check vendor | Verify current compliance | |
| Organization Support | Partial | DocLD has multi-tenant organizations | |
| Analytics Dashboard | Partial | DocLD has built-in dashboards |
Use Case Comparison
High-Accuracy Extraction
- 1Define extraction schema
- 2Upload documents
- 3Run extraction via API or workflow
- 4Review confidence and quality metrics
- 5Optionally add to knowledge base and chat
- 1Define schema and use Extraction API
- 2Optional: use Composer to optimize logic
- 3Chain with classification/splitting if needed
- 4Measure accuracy with evaluation tooling
- 5Build custom search/chat if needed
Verdict: Extend emphasizes >95% accuracy and Composer for automatic optimization. DocLD provides accuracy plus built-in knowledge bases and chat.
Document Pipelines
- 1Parse and extract in workflow
- 2Route by document type or content
- 3Notify stakeholders
- 4Store in knowledge base for search
- 5Monitor in analytics dashboard
- 1Call Parser, Classification, Split, Extraction as needed
- 2Orchestrate via API (chain processors)
- 3Build custom routing and notifications
- 4Build custom search or use another service
- 5Build custom monitoring
Verdict: Extend gives flexible API pipelines; DocLD provides visual workflow builder and built-in storage, search, and notifications.
Contract & Research Analysis
- 1Upload contracts to knowledge base
- 2Extract key terms and parties
- 3Chat with documents using RAG
- 4Semantic search across corpus
- 5Workflow alerts (e.g. expirations)
- 6Share with team
- 1Process with Extraction (and optionally Split/Parser)
- 2Extract structured data
- 3No built-in chat; build with LLM + your own RAG
- 4Build search (e.g. vector DB)
- 5Build custom alerting
- 6Build custom sharing
Verdict: DocLD's knowledge bases and RAG chat are built-in. Extend excels at extraction and pipeline APIs; chat and search require custom build.
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
- Faster time-to-value for full use cases: No need to build chat or search
- Team collaboration: Organization support and sharing
- Composer-style optimization: Extend offers agentic Composer to optimize extraction; DocLD uses schemas and tuning
- Parser API: Extend has a dedicated parser for clean markdown output
- Market positioning: Extend emphasizes deployment in days and >95% accuracy
Extend AI
- LLM and CV-based: Rebuilds document AI beyond traditional OCR; high accuracy claims
- Composer: Agentic system to automatically optimize extraction logic
- Flexible processors: Extraction, classification, splitting, parser in one platform
- Schema versioning and evaluation: Built-in tooling for accuracy measurement
- REST APIs and SDKs: Simple integration; chain processors into pipelines
- Fast deployment: Extend emphasizes deployment in days rather than months
- Complex documents: Tables, signatures, handwriting, degraded scans
- No knowledge bases: Must build your own document organization
- No RAG chat: Must build chat and search with separate tools
- No visual workflows: Pipeline orchestration is API-based; no no-code builder
- No built-in analytics UI: Monitoring requires custom build
When to Choose Each Platform
Choose DocLD when...
DocLD provides RAG chat and semantic search. Extend is API-only for extraction/pipelines.
Choose Extend AI when...
Extend emphasizes >95% accuracy and Composer for auto-optimization.
Migration Guide
How to migrate from Extend AI to DocLD
Export Schemas and Data
Export your Extend schemas, processor configs, and any stored results via API or dashboard.
Create DocLD Account
Sign up for DocLD and set up your organization. Invite team members who need access.
Map Processors to Schemas
DocLD uses extraction schemas. Map your Extend extraction (and classification/split) logic to DocLD schemas and workflows.
Upload Documents
Upload documents to DocLD via the web interface or API.
Create Knowledge Bases
Organize documents into knowledge bases for search and chat—new compared to Extend's API-only approach.
Build Workflows
Replace API pipeline orchestration with DocLD visual workflows, or keep using DocLD API for custom pipelines.
Update API Integrations
Switch from Extend APIs to DocLD's API. Endpoints and request/response shapes differ; update clients and error handling.
Frequently Asked Questions
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