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OCR & Document AI Hosting

Self-Host OCR, Document Parsing & Intelligent Document Processing on Dedicated GPUs

Run OCR engines, layout analysis models and document understanding pipelines on dedicated UK GPU servers. Replace per-page API fees from Google Document AI, AWS Textract or Azure AI Document Intelligence with fixed monthly pricing and full data privacy.

What is OCR & Document AI Hosting?

OCR and Document AI hosting means running optical character recognition, layout detection, table extraction, and intelligent document processing models on your own dedicated GPU server — instead of paying per-page fees to managed API providers like Google Document AI, AWS Textract, or Azure AI Document Intelligence.

With a GigaGPU server you get the full GPU card, NVMe storage, and a UK-based bare metal environment. Deploy models like PaddleOCR, Surya OCR, DocTR, EasyOCR, LayoutLMv3, or any Hugging Face-compatible document model in minutes. No shared resources, no usage caps, no documents leaving your infrastructure.

Open source document AI has advanced rapidly. Models like Surya OCR deliver commercial-grade multilingual text recognition, while layout analysis tools like DocLayout-YOLO and table extractors like Table Transformer now handle complex multi-column documents, scanned invoices, and structured forms that previously required expensive enterprise software.

11+
GPU Options
UK
Server Location
Private
Single-Tenant Hardware
API
Self-Hosted Endpoints
1 Gbps
Network Port
Fixed
Monthly Pricing
Root
Full Admin Access

Supported OCR & Document AI Models

Run the OCR engines and document understanding models teams are actually deploying for invoice processing, form extraction, PDF digitisation and intelligent document pipelines. For LLM-powered document analysis, see Open Source LLM Hosting. For vision-language document understanding, see Multimodal Model Hosting.

PaddleOCR
PaddlePaddle
OCRMultilingualProduction
Surya OCR
VikParuchuri
OCR90+ LanguagesLayout
DocTR
Mindee
OCRDetection + Recognition
EasyOCR
JaidedAI
OCR80+ Languages
Tesseract 5
Google (open-source)
OCRCPU/GPULegacy Support
GOT-OCR 2.0
StepFun
OCREnd-to-EndVision LLM
LayoutLMv3
Microsoft
Document UnderstandingNER
DocLayout-YOLO
Open Source
Layout DetectionFast
Table Transformer
Microsoft
Table ExtractionStructure
Donut
Naver / Clova
Document ParsingOCR-Free
Florence-2
Microsoft
VisionOCRCaptioning
Marker
VikParuchuri
PDF to MarkdownConversion
Nougat
Meta
Academic PDFLaTeX
Unstructured
Unstructured.io
PipelineMulti-Format
ColPali / ColQwen
Illuin Technology
Document RetrievalVisual Search

Any Hugging Face-compatible OCR, layout analysis, or document understanding model can be deployed depending on GPU memory, framework support and throughput target.

Best GPUs for OCR & Document AI Hosting

Recommended configurations based on typical OCR, layout analysis and document processing workloads.

RTX 4060 Ti
16 GB VRAM
Entry Production OCR

16GB comfortably runs PaddleOCR, DocTR, EasyOCR, Surya OCR and most single-model document pipelines. A strong entry point for production OCR APIs processing thousands of pages per day.

PaddleOCRDocTRSurya OCR
Configure RTX 4060 Ti →
RTX 3090
24 GB VRAM
Best Value for Document AI

24GB is the sweet spot for document AI hosting. Run OCR + LayoutLMv3 + Table Transformer together, or deploy GOT-OCR 2.0, Florence-2, and multi-stage document understanding pipelines with headroom for batch processing.

GOT-OCR 2.0LayoutLMv3Florence-2
Configure RTX 3090 →
RTX 5090
32 GB VRAM
High-Throughput Document Processing

Blackwell 2.0 delivers the fastest inference for high-volume document pipelines. Run OCR + LLM extraction + classification on a single GPU with throughput suitable for enterprise-scale invoice and contract processing.

OCR + LLM PipelineBatch ProcessingNougat
Configure RTX 5090 →
RTX 6000 PRO
96 GB VRAM
Enterprise Document Intelligence

96GB lets you run full document intelligence stacks — OCR, layout analysis, a large LLM for extraction and reasoning, and a retrieval model — all on one card. Ideal for regulated industries processing sensitive documents at scale.

Full IDP StackColPali RetrievalLLM Extraction
Configure RTX 6000 PRO →

Why Self-Host OCR & Document AI Instead of Using APIs?

Managed OCR APIs charge per page and send your documents to third-party infrastructure. Self-hosting eliminates both problems.

Eliminate Per-Page Pricing

Google Document AI, AWS Textract and Azure charge £0.01–£0.065+ per page. At 100k pages/month that’s £1,000–£6,500 in API fees alone. A dedicated GPU processes unlimited pages at a fixed monthly rate — costs stay flat as volume scales.

Full Data Privacy & Compliance

Financial statements, medical records, legal contracts and personal documents never leave your server. Critical for GDPR, FCA, and NHS compliance where sending documents to external APIs creates regulatory risk.

Complete Pipeline Control

Chain OCR with layout detection, table extraction, LLM-based field extraction, and classification in a single pipeline. Swap models, fine-tune on your document types, and add post-processing logic without vendor constraints.

Lower Latency & Higher Throughput

No round-trip to a cloud endpoint. GPU-accelerated OCR on local hardware processes pages in milliseconds. Batch thousands of documents without rate limits, queueing delays or throttled API tiers.

Model Flexibility

Use PaddleOCR for speed, Surya for multilingual accuracy, GOT-OCR for end-to-end understanding, or combine multiple models. Swap and fine-tune freely — no vendor lock-in and no migration fees.

Dedicated Hardware Resources

Your GPU, your RAM, your NVMe storage — no noisy neighbours. Consistent performance for time-sensitive document processing workflows like real-time receipt scanning or customer onboarding pipelines.

How Much Can You Save vs OCR API Providers?

Per-page API pricing adds up fast. Here’s how self-hosted OCR compares at real-world volumes.

Managed OCR APIs

Per-page pricing (typical rates)

Google Document AI (1k pages/day)~£460/mo
AWS Textract (1k pages/day)~£480/mo
Azure Doc Intelligence (1k pages/day)~£450/mo
At 5k pages/day£2,000–£3,000/mo

Self-Hosted on GigaGPU

Fixed monthly pricing — unlimited pages

RTX 4060 Ti · 16GBFrom £99/mo
RTX 3090 · 24GBFrom £139/mo
RTX 5090 · 32GBFrom £399/mo
Unlimited pages at any volumeFixed cost

API prices are approximate based on published per-page rates as of early 2025 and may vary by document type and feature tier. Self-hosted costs are the base GPU server price — actual throughput depends on model, document complexity, and configuration. View all GPU plans →

GPU Servers for OCR & Document AI

Every server comes with a dedicated GPU, NVMe storage, 128GB RAM, 1Gbps networking, full root access and UK hosting.

RTX 3050 · 6GBEntry
ArchitectureAmpere
VRAM6 GB GDDR6
FP326.77 TFLOPS
BusPCIe 4.0 x8
6GB
VRAM for lightweight OCRPaddleOCR, EasyOCR, Tesseract
From £79.00/mo
Configure
RTX 4060 · 8GBAda Lovelace
ArchitectureAda Lovelace
VRAM8 GB GDDR6
FP3215.11 TFLOPS
BusPCIe 4.0 x8
8GB
production OCR modelsSurya, DocTR, PaddleOCR
From £89.00/mo
Configure
RTX 5060 · 8GBBlackwell 2.0
ArchitectureBlackwell 2.0
VRAM8 GB GDDR7
FP3219.18 TFLOPS
BusPCIe 5.0 x8
8GB
latest-gen OCR inferenceFast throughput for page processing
From £89.00/mo
Configure
RTX 4060 Ti · 16GBRecommended
ArchitectureAda Lovelace
VRAM16 GB GDDR6
FP3222.06 TFLOPS
BusPCIe 4.0 x8
16GB
multi-model OCR stacksOCR + layout + table extraction
From £99.00/mo
Configure
RX 9070 XT · 16GBAMD RDNA 4
ArchitectureRDNA 4.0
VRAM16 GB GDDR6
FP3248.66 TFLOPS
BusPCIe 5.0 x16
16GB
AMD OCR optionROCm ready for PaddleOCR
From £129.00/mo
Configure
Arc Pro B70 · 32GBNew
ArchitectureXe2
VRAM32 GB GDDR6
FP3222.9 TFLOPS
BusPCIe 5.0 x16
32GB
VRAM headroomLarge document models + LLM
From £179.00/mo
Configure
RTX 5080 · 16GBHigh Throughput
ArchitectureBlackwell 2.0
VRAM16 GB GDDR7
FP3256.28 TFLOPS
BusPCIe 5.0 x16
56+
TFLOPS raw computeBlackwell-gen document processing
From £189.00/mo
Configure
Radeon AI Pro R9700 · 32GBAI Pro
ArchitectureRDNA 4
VRAM32 GB GDDR6
FP3247.84 TFLOPS
BusPCIe 5.0 x16
32GB
VRAM headroomMulti-model document stacks
From £199.00/mo
Configure
Ryzen AI MAX+ 395 · 96GBNew
ArchitectureStrix Halo
Unified RAM96 GB LPDDR5X
FP3214.8 TFLOPS
BusPCIe 4.0
96GB
shared memory poolFull IDP stack + large LLM
From £209.00/mo
Configure
RTX 5090 · 32GBFor Production
ArchitectureBlackwell 2.0
VRAM32 GB GDDR7
FP32104.8 TFLOPS
BusPCIe 5.0 x16
105
TFLOPS raw computeFastest document AI inference
From £399.00/mo
Configure
RTX 6000 PRO · 96GBEnterprise
ArchitectureBlackwell 2.0
VRAM96 GB GDDR7
FP32126.0 TFLOPS
BusPCIe 5.0 x16
96GB
full IDP + LLM on one cardEnterprise document intelligence
From £899.00/mo
Configure

Throughput depends on model, document complexity, resolution, and pipeline configuration. View all GPU plans →

OCR & Document AI Hosting Use Cases

From invoice processing to academic research — dedicated GPU servers handle every document AI workload.

Invoice & Receipt Processing

Extract line items, totals, dates and vendor details from invoices and receipts at scale. Run OCR + table extraction + LLM-based field mapping in a single pipeline with no per-document fees.

Legal Document Analysis

Digitise contracts, court filings and legal correspondence. Extract clauses, parties, dates and obligations with layout-aware models. All documents stay on private UK infrastructure — critical for solicitor-client privilege.

Healthcare & Medical Records

Process patient records, prescriptions, lab reports and referral letters on private hardware. Combine OCR with LLM extraction for structured data output while maintaining NHS and GDPR compliance.

Financial Document Processing

Extract data from bank statements, tax returns, annual reports and KYC documents. Self-hosted processing ensures sensitive financial data never leaves your environment — essential for FCA-regulated firms.

Document Digitisation & Archiving

Convert legacy paper archives, scanned PDFs and microfiche into searchable, indexed digital formats. Process millions of pages at a flat rate using GPU-accelerated OCR without per-page cloud fees.

ID Verification & KYC

Extract data from passports, driving licences and utility bills for customer onboarding. Run OCR + vision models for document classification and fraud detection on private infrastructure.

Academic & Research Papers

Convert scientific PDFs to structured text with Nougat or Marker. Extract equations, figures, tables and citations for RAG pipelines, literature review tools, or research knowledge bases.

Form Processing & Data Entry

Automate data extraction from insurance claims, applications, surveys and government forms. Combine layout detection with field extraction to eliminate manual data entry at scale.

Logistics & Supply Chain

Process shipping labels, bills of lading, customs declarations and packing lists. GPU-accelerated OCR handles high-volume warehouse scanning and automated logistics document workflows.

Document Search & RAG Pipelines

Build retrieval-augmented generation systems over document collections. Use OCR + layout analysis + embedding models to create searchable knowledge bases from unstructured document archives. Pair with LLM hosting for intelligent Q&A.

Compatible Frameworks & Platforms

Every GigaGPU server ships with full root access — install any OCR or document AI framework in minutes.

Deploy a Document AI Pipeline in 4 Steps

From order to processing documents — most teams are up and running within an hour.

01

Choose a GPU Server

Pick the GPU that fits your document volume and pipeline complexity. The RTX 3090 (24GB) covers most OCR + extraction workflows. View all GPU plans →

02

Install Your OCR Stack

SSH in and install your preferred framework via pip or Docker. Example: pip install paddleocr or pip install surya-ocr. Full root access — install anything you need.

03

Build Your API Endpoint

Wrap your OCR pipeline in a FastAPI or Flask endpoint. Accept document uploads, run OCR + extraction, return structured JSON. Add Nginx for production traffic.

04

Process Documents

Point your application at your new endpoint. Process unlimited documents — invoices, contracts, forms, scanned PDFs — at a fixed monthly cost with no per-page fees.

Frequently Asked Questions

Common questions about self-hosted OCR and document AI hosting.

OCR and Document AI hosting means running optical character recognition, layout analysis, table extraction, and intelligent document processing models on your own dedicated GPU server instead of using per-page cloud APIs. You get full control over the hardware, unlimited document processing at a flat monthly rate, and complete data privacy.
You can run any open source OCR or document model supported by PyTorch, PaddlePaddle, ONNX Runtime, or Hugging Face Transformers — including PaddleOCR, Surya OCR, DocTR, EasyOCR, Tesseract 5, GOT-OCR 2.0, LayoutLMv3, Table Transformer, Donut, Florence-2, Nougat, Marker, and Unstructured. Compatibility depends on available VRAM.
For most production OCR workloads, the RTX 3090 (24GB) offers the best value — plenty of VRAM for OCR + layout + extraction pipelines. For pure OCR without large language models, the RTX 4060 Ti (16GB) is a strong entry point. For enterprise-scale IDP with LLMs, the RTX 5090 (32GB) or RTX 6000 PRO (96GB) provide maximum headroom.
At any meaningful volume, yes — typically by a large margin. Google Document AI charges around $0.01–$0.065 per page depending on the feature tier. AWS Textract and Azure charge similar per-page rates. A dedicated GPU server processes unlimited pages at a fixed monthly cost. If you process more than a few thousand pages per month, self-hosting is almost always cheaper.
Yes. A common pattern is OCR for text extraction, then an open source LLM for field extraction, classification, or summarisation. A 24GB GPU handles OCR + a 7B parameter LLM. For larger LLMs (13B–70B) alongside OCR, use the RTX 5090 (32GB), Ryzen AI MAX+ 395 (96GB), or RTX 6000 PRO (96GB).
As a rough guide: PaddleOCR and DocTR run in 2–4GB. EasyOCR uses 2–4GB. Surya OCR uses 3–6GB. GOT-OCR 2.0 uses 8–12GB. LayoutLMv3 uses 2–4GB. For compound pipelines (OCR + layout + table extraction + LLM), 16–24GB is recommended. Check the specific model card on Hugging Face for exact requirements.
Yes. Deploy PaddleOCR or Surya for text recognition, DocLayout-YOLO for layout detection, Table Transformer for table extraction, and an LLM for entity extraction and classification. Wrap the pipeline in a FastAPI endpoint and you have a private, fixed-cost Document AI replacement with no per-page billing.
You have full root access, so any framework works. Common choices include PaddleOCR and Surya for OCR, DocTR and EasyOCR as alternatives, LayoutLMv3 and DocLayout-YOLO for layout analysis, PyTorch and ONNX Runtime as inference backends, Unstructured for multi-format document pipelines, FastAPI or Flask for API serving, Nginx for reverse proxying, and Docker for containerised deployments.
All servers are located in the UK. This ensures low latency for European users and compliance with UK/EU data protection requirements — important for businesses processing sensitive documents like financial records, medical files, or legal contracts that must remain within jurisdiction.
Yes. Models like Surya OCR, GOT-OCR 2.0, and TrOCR are designed to handle handwritten text. For the best results with handwritten documents, we recommend a 24GB+ GPU to run these models alongside post-processing steps for accuracy improvement.

Available on all servers

  • 1Gbps Port
  • NVMe Storage
  • 128GB DDR4/DDR5
  • Any OS
  • 99.9% Uptime
  • Root/Admin Access

Our dedicated GPU servers provide full hardware resources and a dedicated GPU card, ensuring unmatched performance and privacy. Perfect for self-hosting OCR engines, document AI pipelines, intelligent document processing, PDF digitisation, and any other document understanding workload — with no shared resources and no per-page fees.

Get in Touch

Have questions about which GPU is right for your document AI workload? Our team can help you choose the right configuration for your pipeline, document volume, and budget.

Contact Sales →

Or browse the knowledgebase for setup guides on OCR frameworks, document pipelines, and more.

Start Hosting Your Document AI Today

Flat monthly pricing. Full GPU resources. UK data centre. Deploy PaddleOCR, Surya, DocTR and more in under an hour.

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