Extend AI
Document processing software with advanced OCR and extraction for complex workflows and high accuracy.
extend is a document processing platform designed for developers, product teams, and technical users who need to handle complex document extraction and OCR tasks efficiently. It provides a comprehensive suite of APIs and tools to parse, classify, extract, and split documents with accuracy exceeding 99%, solving challenges typical of traditional OCR methods like handling massive tables, handwriting, and checkboxes.
What Makes extend Stand Out
- State-of-the-art vision models tailored to complex document types, improving accuracy in challenging scenarios like unstructured handwriting and difficult layouts.
- Agentic optimization powered by machine learning agents that continually refine schemas and performance based on the input documents.
- Flexible API toolkit enabling fast deployment of production-ready pipelines without the need to maintain infrastructure.
- Continuous learning memory system that adapts from previous documents to improve extraction results over time.
- Integrated evaluation suite to measure and build trust in data accuracy, allowing teams to confidently ship document workflows.
Who Should Use extend
- Technical teams in need of a robust document processing solution capable of handling edge cases and reducing manual review.
- Businesses aiming to accelerate document workflow automation, improving data quality and operational efficiency.
- Enterprises requiring high accuracy document parsing for complex formats like financial statements, medical records, or legal paperwork.
Frequently Asked Questions
What is extend?
extend is a document processing software platform with advanced OCR and extraction APIs designed to handle complex and diverse document types, delivering high-accuracy data extraction for technical users.
How does extend improve accuracy compared to traditional OCR?
It uses specialized vision models and self-optimizing agents that learn from documents, enabling it to surpass typical ~80% accuracy levels to over 99%, particularly for challenging document features like handwriting and complex tables.
What makes extend suitable for production deployment?
Its flexible API toolkit and integrated evaluation tools allow technical teams to build, test, and optimize document pipelines rapidly while minimizing maintenance overhead typically required by in-house solutions.
What are some limitations or trade-offs when using extend?
While extend excels in accuracy and complex document handling, it requires technical expertise to integrate and customize pipelines and may involve a learning curve for teams unfamiliar with advanced document processing workflows.
How does extend handle continuous improvement?
extend features a memory system that learns from previously processed documents to progressively enhance extraction accuracy on similar file types, reducing error rates over time.