Solutions
Enterprise OCR & RAG
Convert complex documents into structured, searchable knowledge with high-accuracy OCR and scalable RAG pipelines. Built for large volumes, domain-specific data, and production AI workloads.
Talk to SalesThe Problem
Legacy OCR & RAG Pipelines Break at Enterprise Scale
Disconnected tools, weak extraction accuracy, and brittle retrieval pipelines slow down AI adoption across document-heavy workflows.
Data scattered across formats slows retrieval
PDFs, scans, tables, handwriting, and images require multiple OCR engines — creating inconsistent outputs and poor downstream retrieval quality.
Low extraction accuracy corrupts RAG answers
Weak OCR and layout parsing lead to incorrect chunks, noisy embeddings, and hallucinated responses in RAG systems.
Tool sprawl increases cost and compliance risk
Multiple vendors for OCR, parsing, embeddings, and vector search create integration overhead and governance gaps.
The Solution
Keep Document Intelligence Pipelines Accurate & Scalable
Multi-Format OCR
Extract text, tables, forms, & handwriting from PDFs, scans, & images using the best OCR models.
Layout-Aware Parsing
Preserve document structure, sections, & relationships for higher-quality chunking and retrieval.
RAG-Ready Outputs
Get clean, structured JSON and markdown optimized for embeddings and vector databases.
Model Choice & Routing
Run Tencent Hunyuan OCR and other leading models with performance-based routing.
Live Batch Processing
Process millions of pages in batch or run low-latency OCR APIs for live workflows.
Enterprise Controls
Audit logs, versioned pipelines, and deployment controls for regulated environments.
Recommended Models
Models for OCR & Document Intelligence
Vision-language and reasoning models optimized for document extraction, layout parsing, and RAG pipelines.
Released in late 2025, HunyuanOCR is an open-source contribution from Tencent that outperforms many larger proprietary models. It utilizes a "Global-to-Local" architecture with a SigLIP-v2 visual encoder to handle high-resolution inputs and extreme aspect ratios (like long receipts) without splitting images artificially.
Qwen3-VL-30B-A3-Instruct is a large-scale, high-capacity vision-language instruction model designed for advanced multimodal reasoning. It delivers significantly stronger visual understanding.
Turn Your Documents into Searchable Intelligence — at Production Scale
Processing large document volumes? Building OCR + RAG pipelines? Deploy high-accuracy document extraction and retrieval workflows.
“Qubrid AI reduced our document processing time by over 60% and significantly improved retrieval accuracy across our RAG workflows.”
Enterprise AI Team
Document Intelligence Platform