AlphaDigit
Advancing parametric efficiency in Vision-to-Text
A highly optimized Optical Character Recognition (OCR) engine engineered to deliver high-precision document intelligence. Built to run efficiently on standard office CPUs, AlphaDigit targets operational cost reduction while continuously proving its capabilities on complex enterprise workflows.
- <2% WER
- <2s per page
- +80 languages
Focused architecture, continuous field validation
AlphaDigit represents a shift toward right-sized document intelligence. It is engineered to achieve high accuracy across complex, non-standardized layouts from handwritten field notes to weathered legacy archives. While we are actively validating our performance across diverse industrial datasets, our model's lightweight design is built to eliminate computational redundancy, giving your organization the flexibility to deploy On-Cloud or On-Premise without requiring heavy, expensive GPU clusters.
Striving for precision across complex layouts
Evaluated against industry-standard datasets and our own rigorous "Stress Test" benchmarks, AlphaDigit is continuously optimized to handle data where traditional OCR systems frequently struggle. By focusing on specialized enterprise data contexts rather than massive, generalist architectures, the model aims to systematically reduce character recognition errors in heavily distorted, handwritten, or dense technical documents.
Infrastructure sobriety: optimized for standard CPUs
Built on highly compact foundation layers ranging from <200M to 1B parameters, AlphaDigit minimizes required compute power. This architectural optimization allows technical teams to run high-volume document processing natively on existing corporate CPUs, offering a path to significantly lower infrastructure overhead compared to traditional cloud-hosted alternatives.
Q&A
AlphaDigit is specifically designed for structured and semi-structured vertical document workflows. It is best utilized for automating high-volume data ingestion where layout complexity or data quality is a bottleneck such as extracting information from handwritten field reports, logistics receipts, financial invoices, and legacy technical data sheets. Rather than trying to master generalist reasoning, it focuses entirely on text extraction and structural understanding to maximize reliability in core business operations.
Because the architecture is heavily optimized and compressed, it breaks the dependency on specialized, costly cloud hardware. AlphaDigit supports three primary deployment modes: On-Cloud (hosted on secure, compliant French partner infrastructure), On-Premise (installed directly on your private corporate servers), and On-Device (running entirely offline on edge hardware, industrial cameras, or field machinery). This flexibility allows your IT department to choose the exact environment that matches your latency, connectivity, and data sovereignty requirements.
Technical teams can instantly access our interactive sandbox playground or review our API Documentation to conduct initial testing on standard document sets. Because every industrial workflow has its own unique constraints, we invite you to join our developer community on Discord or reach out through our Contact Page to collaborate with our engineering office on setting up a tailored benchmark or a structured Proof of Concept (PoC) using a subset of your enterprise data.
Ready to benchmark AlphaDigit on your workflows?
Talk to our technical office to explore how our efficient OCR can integrate into your current IT environment and reduce your operational infrastructure costs.