Production-ready AI models for document understanding
Access Labs Neural models through a simple API and turn documents into structured, machine-readable data
Our models handle OCR, document classification, field extraction, tables, layout understanding, and document processing – delivered as a subscription and built for production workloads
One API. Multiple document AI models
Labs Neural provides a suite of proprietary models that can be used individually or as part of a complete document-processing pipeline
Neural OCR
Extract text from scans, PDFs, photos, and complex document images
Document Classification
Automatically identify document types and route them to the correct processing model
Data Extraction
Extract fields, entities, values, identifiers, and document-specific information
Table Understanding
Detect and reconstruct tables while preserving rows, columns, and relationships
Layout Understanding
Interpret document structure, regions, sections, and spatial relationships
Image Processing
Normalize, enhance, deskew, and prepare documents for higher-quality recognition
Built for API-first integration
Send a document to the Labs Neural API and receive structured output ready for downstream software
Input
PDF
JPEG
TIFF
Scanned document
Document image
Output
JSON
XML
CSV
Structured fields
Extracted tables
Recognized text
Document metadata
Integrate document intelligence directly into your application, workflow, or internal system without building and maintaining your own machine-learning infrastructure
Models as a subscription
Labs Neural models are delivered as a managed software subscription
Customers get access to production AI capabilities without training, hosting, or maintaining the underlying models themselves
Your subscription includes:
- access to Labs Neural AI models
- API usage
- managed inference infrastructure
- model updates and improvements
- document-processing pipelines
- scalable production processing
- SDK and integration options
- private deployment options for enterprise environments
Built for real-world documents
Document AI has to work outside controlled demos
Labs Neural models were developed for varying layouts, imperfect scans, photographed documents, different resolutions, complex tables, and heterogeneous document types
150M+ documents processed
150+ document types supported
The models improve the part that matters most in production: converting inconsistent real-world inputs into reliable structured output
Use Labs Neural as your document intelligence layer
Add OCR, extraction, classification, and document understanding to your product without building the model stack from scratch
Integrate once. Access multiple document AI models
Contact us at: info@labsneural.com
