PaddleOCR from Baidu is the fastest open OCR pipeline at this accuracy level. On the RTX 5060 Ti 16GB at our hosting, you run industrial-scale OCR on one card.
Contents
Setup
- PaddleOCR 2.8
- PP-OCRv4 model suite (detection + recognition + angle classifier)
- GPU mode, FP16
- Input: A4 PDF pages rasterised at 300 dpi
Pages per Second
| Mode | Pages/s | Pages/day |
|---|---|---|
| Single image, serial | 8.5 | 734k |
| Batch 4 | 22 | 1.9M |
| Batch 8 (peak) | 34 | 2.9M |
| With layout model (PP-StructureV2) | 5.2 | 450k |
Processing 2.9M A4 pages per day on one card is plenty for most document-processing SaaS.
Accuracy
- English printed: 98.5% character accuracy
- Chinese printed: 97.8%
- Scanned documents at 300 dpi: 98%+ for clean pages
- Handwritten: 75-85% (use Qwen2.5-VL for better handwriting)
vs VLM OCR
| Metric | PaddleOCR | Qwen2.5-VL 7B |
|---|---|---|
| Speed | 34 pages/s | ~1-2 pages/s |
| Clean print accuracy | Excellent | Excellent |
| Layout reasoning | With PP-Structure | Native |
| Handwriting | Weaker | Stronger |
| Language coverage | 80+ | Covers major |
Pipeline: PaddleOCR for bulk text extraction, VLM for pages where PaddleOCR’s confidence is low or the content is handwritten/complex.
Industrial OCR on Blackwell 16GB
34 pages/s, 2.9M/day on one card. UK dedicated hosting.
Order the RTX 5060 Ti 16GBSee also: Qwen2.5-VL benchmark, Llama Vision, document Q&A, legal AI.
