DocWeave AI
Turn unstructured documents into reliable, structured data that powers workflows, search, analytics, and AI agents
High-Quality Document Intelligence
Build document understanding features without managing parsing, extraction, and optimization pipelines
The Challenge
Teams struggle to extract reliable structured data from complex documents. Building parsing, layout understanding, and extraction pipelines takes months and requires continuous maintenance.
The Solution
DocWeave AI provides developer-friendly APIs that handle document parsing, classification, extraction, and chunking. Built-in optimization agents continuously improve accuracy without manual tuning.
The Result
Teams ship document intelligence features in days instead of months. Clean, structured outputs integrate directly into workflows, search systems, and AI applications with production-grade reliability.
Core Capabilities
Comprehensive document intelligence powered by multimodal AI
Document Parsing
Convert complex documents into clean, structured representations
- Hierarchical document structure
- Preserved tables and lists
- Layout understanding (headers, footnotes, mixed content)
- Multimodal models for text-image content
- Output formats: Markdown, JSON, structured data
Classification
Automatically classify documents or sections into categories
- Document, page, or section-level classification
- Intelligent routing and workflow automation
- Auto-tagging and organization
- Context-aware downstream processing
- Custom taxonomy support
Field & Entity Extraction
Extract specific entities and fields with high accuracy
- Names, dates, IDs, and key identifiers
- Monetary amounts and financial data
- Custom domain-specific attributes
- Structured outputs for APIs and databases
- Confidence scoring for each extraction
Semantic Chunking
Break documents into meaningful semantic chunks
- Meaningful semantic boundaries (not arbitrary)
- Improves vector search quality
- Optimized for RAG applications
- Better LLM context utilization
- Configurable chunk sizes and strategies
Agent-Driven Optimization
Self-improving extraction that gets better over time without manual tuning
Self-Improving Extraction Agents
Built-in optimization agents analyze document outputs and continuously experiment to improve accuracy. They learn from historical documents, detect weak extraction patterns, and refine prompts, schemas, and parsing strategies automatically.
Schema Management
Define what data you want in a flexible schema layer. The system validates extracted data against schemas, suggests schema refinements, and tunes extraction strategies over time for higher consistency and accuracy.
Continuous Improvement Cycle
DocWeave AI learns from every document processed. As your document volume grows, extraction accuracy improves automatically. The platform detects patterns, refines models, and optimizes strategies without requiring manual intervention or retraining.
Developer Tooling
API-first design that fits naturally into your backend systems and pipelines
API-First Design
REST-style APIs that integrate seamlessly with backend systems. Upload documents programmatically, request parsing/classification/extraction, and receive structured outputs via synchronous calls or callbacks.
Rapid Prototyping
Test new document types and extraction schemas quickly. Interactive playground for experimenting with parsing strategies and validating outputs before production deployment.
Prototype to Production
Support the full lifecycle from initial prototypes to production workloads. Iterative schema tuning, scalable processing, and production-grade reliability without re-architecting.
Example Use Cases
Build intelligent document workflows across industries and use cases
Invoice & Receipt Processing
Extract line items, totals, vendor information, and payment terms from invoices and receipts
Contract & Legal Documents
Parse contracts, identify clauses, extract obligations, dates, and party information
Resume & Job Description Parsing
Structure candidate profiles, extract skills, experience, education, and match requirements
Compliance & Regulatory Documents
Ingest compliance reports, extract requirements, track obligations, and maintain audit trails
Knowledge Base for AI Assistants
Convert documentation into structured, searchable knowledge bases for RAG and AI agent workflows
Research & Academic Papers
Extract abstracts, citations, methodologies, and results from research papers and publications
Why It Matters
Abstract Complexity
- Layout understanding handled automatically
- No manual pipeline maintenance
- Multimodal AI for complex documents
- Production-grade reliability
Continuous Improvement
- Self-improving extraction accuracy
- Agent-driven optimization
- Learn from every document
- No manual retraining required
Developer-First
- Simple REST APIs
- Rapid prototyping to production
- Clean, structured outputs
- Focus on building features
Ready to Build Document Intelligence?
Join teams building reliable document understanding features without maintaining complex pipelines