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Welcome to Unsiloed AI

The unstructured data interface for LLMs and AI agents. Turn complex documents into structured Markdown and JSON.

Quickstart

Explore our complete API documentation with interactive examples

SDK & API

Official SDKs for Python and JavaScript, or use the REST API directly

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What is Unsiloed AI?

Unsiloed AI is the unstructured data interface for LLMs and AI agents. We build vision-first, layout-aware systems that combine computer vision, OCR, and multimodal models to turn complex documents into deterministic, machine-readable representations so that AI agents can read from and write to documents as reliably as humans.Modern document workflows break down on real-world data: PDFs with dense layouts, scanned forms, tables, charts, images, and inconsistent formatting. Generic OCR and text-only LLM parsers lose structure, hallucinate, or produce brittle outputs that fail in production. Unsiloed AI is designed to be the infrastructure layer that sits before your LLMs, agents, or RAG pipelines ensuring documents are parsed correctly and consistently.You might find Unsiloed AI useful if you want to:
  • Parse unstructured documents (PDFs, PPTs, images, Excel sheets, and 20+ file formats) into high-fidelity Markdown and JSON
  • Extract structured data from documents using schema-driven key-value extraction along with citation and confidence scoring
  • Classify or split large files into logical buckets, sections, or categories
These capabilities are commonly used for document-based workflow automation, reliable parsing and chunking for RAG, and agentic systems that need structured access to documents.Think of Unsiloed AI as the interface layer between your unstructured data and any LLM, AI agent, or automation you are building on top of it.

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Core Capabilities

Layout-Aware Parsing

Parse complex documents into structured, hierarchical chunks while preserving layout, reading order, and visual hierarchy. Natively understands tables, images, charts, plots, formulas, and headers, producing Markdown and JSON optimized for accurate chunking and RAG.

Schema-Based Extraction

Extract structured data using custom JSON schemas with deterministic outputs. Every field includes word-level citations, bounding boxes, and confidence scores for full traceability back to the source document.

Smart Splitting

Split large or merged files into logical documents or sections using layout, content, or rule-based logic. Ideal for processing scanned batches, multi-document PDFs, or downstream routing.

Document Classification

Classify documents by type using visual and semantic signals. Route each document to the appropriate parsing, extraction, or automation pipeline.

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Why Unsiloed AI?

Built for Production

  • Asynchronous processing for large and multi-page documents
  • Deterministic outputs with confidence scores and word level bounding boxes
  • Broad multi-format support across PDFs, DOCX, PPTX, images and more
  • Scalable infrastructure for high-throughput enterprise workloads

Developer-First

  • Clean REST APIs designed with stable versioned contracts
  • Schema-driven extraction with validation, confidence and traceability
  • Interactive playground for testing API requests schemas and outputs
  • Predictable error handling for reliable production integrations

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Common Use Cases

Finance

Parse financial statements, reports, and regulatory filings into structured, machine-readable data.

Legal

Extract clauses, entities, dates, and obligations from contracts and legal documents.

Healthcare

Structure clinical documents, forms, and records for downstream systems and workflows.

RAG & Automation

Parse, chunk, classify, and route documents to power reliable RAG pipelines and document-driven automations.

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SDKs

We provide official SDKs to make integration even easier:
pip install unsiloed-sdk

Python SDK

Official Python SDK with sync and async support

JavaScript SDK

Official JavaScript/TypeScript SDK with full type definitions

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Quick Start Examples

from unsiloed_sdk import UnsiloedClient

with UnsiloedClient(api_key="your-api-key") as client:
    result = client.parse_and_wait(file="document.pdf")
    print(f"Total chunks: {result.total_chunks}")

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Getting Started

1

Get API Access

Sign up on Unsiloed AI to get your API key and get started.
2

Install SDK or Use API Directly

Install our Python or JavaScript SDK, or use the REST API directly. Check out the installation guide to get started.
3

Make Your First Request

Use our SDK or API to extract data from a document. Check out the extraction guide to get started.
4

Explore Advanced Features

Learn about parsing strategies, classification, splitting, and batch processing to build powerful document workflows.

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API Base URL

All API requests should be made to:
https://prod.visionapi.unsiloed.ai
Authentication is required using your API key in the api-key header.

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Need Help?

Documentation

Explore our comprehensive guides and API reference

Support

Contact our team at [email protected]