Unsiloed AI
An enterprise document API that accurately converts all kinds of files into LLM-ready formats
Enterprise document processing API that parses, extracts, and splits PDFs, images, and spreadsheets into LLM-ready Markdown and JSON, using dual-stream vision models that return per-field confidence scores for downstream validation.
Key Features
- Dual-stream vision model parsing
- Outputs LLM-ready Markdown and JSON
- Provides per-field confidence scores
- Supports PDFs, images, and spreadsheets
- Smart document splitting
Pros
- Improves data parsing accuracy
- Reduces manual review and data-cleaning cost
- Easy to connect to downstream validation workflows
Cons
- Requires developers to integrate the API
- Requires assessing enterprise file volume and cost
Use Cases
- Automatically processing enterprise invoices and contracts
- Pre-cleaning data for LLM knowledge bases
- Converting messy reports into structured data
Editor's Note
For enterprises that need to feed large volumes of unstructured documents into AI systems, this is an efficient API tool that dramatically saves data-preprocessing time.
FAQ
Which file formats does Unsiloed AI support?
The system mainly supports parsing and processing PDF files, various images, and spreadsheet formats.
Why are per-field confidence scores needed?
Confidence scores let the system automatically judge parsing quality and flag low-scoring fields for human verification, ensuring data accuracy.
What format is the converted data in?
Files are parsed, extracted, and split into Markdown and JSON formats suitable for large language models (LLMs) to read directly.