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 our experts

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.

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 for Enterprise OCR & RAG

Access production-tested OCR & document understanding models optimized for accuracy, speed, and cost

Hunyuan OCR (1B)

Released in late 2025, Hunyuan OCR is an open-source contribution from Tencent that outperforms many larger proprietary models. It uses a global-to-local architecture with a SigLIP-v2 visual encoder to handle high-resolution inputs and extreme aspect ratios without artificial image splitting.

Explore all models

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

Run OCR, RAG at Scale

"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