: PaddleOCR supports over 109 languages , including a dedicated model for Vietnamese that handles diverse document types—from clean digital scans to "in-the-wild" scene text.
for line in result[0]: print(f"Text: line[1][0], Confidence: line[1][1]")
: Modern versions like PaddleOCR-VL-1.5 reach over 94% accuracy on complex document benchmarks, including tables and formulas. paddle ocr vietnamese
from fastapi import FastAPI, File, UploadFile app = FastAPI()
: Vietnamese uses a Latin-based script but features a high density of accent marks (e.g., ắ, ồ, ệ ). PaddleOCR’s deep learning architecture is particularly high-precision in identifying these small visual features. Layout Analysis : PaddleOCR supports over 109 languages , including
: If you plan to fine-tune the model with your own Vietnamese data, PaddleOCR supports two main dataset formats for high-performance training and common text files for simpler setups. www.paddleocr.ai Practical Advantages for Vietnamese Precision with Diacritics
: When running the OCR, you must explicitly set the language parameter to : PaddleOCR supports over 109 languages
| Metric | Paddle OCR (lang='vi') | Tesseract 5 (vie traineddata) | |--------|------------------------|-------------------------------| | Character Accuracy (with diacritics) | 97.8% | 84.2% | | Word Accuracy | 94.1% | 72.5% | | Processing time per page (CPU) | 1.2 sec | 2.5 sec | | Handwriting support | Fine-tunable | Poor |