OCR Cost Calculator
Compare Self-Hosted OCR on Dedicated GPUs vs Cloud API Pricing
See exactly how much you could save by running PaddleOCR, EasyOCR or Surya on a dedicated GigaGPU server instead of paying per-page fees to Google Vision, AWS Textract or Azure AI.
Cloud OCR APIs charge per page — costs that scale linearly and unpredictably as your document volumes grow. Self-hosted OCR on a dedicated GPU gives you unlimited pages for a fixed monthly price. Use this calculator to see how much you could save by running PaddleOCR, Tesseract, EasyOCR or Surya on your own GigaGPU server.
Calculate Your OCR Costs
Adjust the slider to match your monthly page volume, then compare providers instantly.
Monthly OCR Cost Comparison
Self-hosted GPU vs cloud API pricing
| Provider | Per-Page Cost | Monthly Cost | vs Self-Hosted |
|---|
Costs in GBP (£). Cloud API prices converted at approximate exchange rates. Self-hosted cost = fixed server fee regardless of page volume.
How Self-Hosted OCR Saves Money
Cloud APIs charge per page. A dedicated GPU server gives you unlimited throughput for one flat fee.
Fixed Monthly Cost
Pay one price for your GPU server — process 10,000 or 10,000,000 pages without any extra charges.
GPU-Accelerated Speed
PaddleOCR on an RTX 4060 Ti processes 45+ pages per second — far faster than cloud API rate limits.
Full Data Privacy
Documents never leave your server. No third-party data processing agreements required.
Pricing Assumptions
Transparent methodology behind every number in the calculator.
Frequently Asked Questions
PaddleOCR is the fastest open-source OCR engine with GPU acceleration and supports 80+ languages. EasyOCR and Surya OCR are strong alternatives with different accuracy/speed trade-offs. All run well on GigaGPU’s NVIDIA GPU servers with full CUDA support.
An RTX 4060 Ti running PaddleOCR processes roughly 45 pages per second — that’s over 3.8 million pages per day running continuously. Even budget GPUs like the RTX 3050 can handle 1.5 million+ pages daily, far exceeding most business requirements.
Modern open-source OCR engines like PaddleOCR achieve comparable accuracy to Google Vision and AWS Textract on standard documents. The advantage of self-hosting is that you can fine-tune models on your specific document types — invoices, receipts, medical forms — for even higher accuracy.
Typically around 25,000–50,000 pages per month, depending on which GPU you choose. An RTX 4060 Ti at £54.99/mo breaks even versus cloud APIs at roughly 46,000 pages. Above that, every additional page is essentially free.
GigaGPU servers come with full root access and NVIDIA drivers pre-installed. You can deploy PaddleOCR or any other engine with a few commands. Our knowledgebase includes setup guides, and our support team can assist with initial configuration.
Yes. PaddleOCR supports 80+ languages, EasyOCR supports 80+, and Tesseract supports over 100. Multi-language processing runs at the same speed on GPU-accelerated engines.
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