Ocr Super Surya

OCR Super Surya

GPU-optimized OCR using Surya.

When to Use

• OCR, extract text from image, text recognition, 画像から文字
• Extracting text from screenshots, photos, or scanned images
• Processing PDFs with embedded images
• Multi-language document OCR (90+ languages including Japanese)

Features

Quick Start

Installation

# 1. Check GPU
python -c "import torch; print(f'CUDA: {torch.cuda.is_available()}')"

# 2. Install (with CUDA if GPU available)
pip install surya-ocr

# If CUDA=False but you have GPU, reinstall PyTorch:
pip uninstall torch torchvision torchaudio -y
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121

Windows + uv 環境（OneDrive配下でのインストール）

OneDrive 配下のフォルダでは uv のハードリンクが失敗するため、以下の手順を使う：

# キャッシュをOneDrive外に設定
$env:UV_CACHE_DIR = "C:\Temp\uv_cache"

# 仮想環境をOneDrive外に作成
uv venv C:\Users\<USERNAME>\ocr_env --python 3.12

# surya-ocrをインストール（link-mode=copy でハードリンクを回避）
uv pip install surya-ocr --python C:\Users\<USERNAME>\ocr_env\Scripts\python.exe --link-mode=copy

# transformers 5.x は非互換 → 4.x を強制
uv pip install "transformers<5.0" --python C:\Users\<USERNAME>\ocr_env\Scripts\python.exe --link-mode=copy

Usage

# CLI
python scripts/ocr_helper.py image.png
python scripts/ocr_helper.py document.pdf -l ja en -o result.txt

# Or use surya directly
surya_ocr image.png --output_dir ./results

Python API

import sys, io
# Windows CP932エンコードエラー対策
sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')

from PIL import Image
from surya.recognition import RecognitionPredictor
from surya.detection import DetectionPredictor
from surya.foundation import FoundationPredictor

image = Image.open("document.png").convert("RGB")
found_pred = FoundationPredictor()
rec_pred = RecognitionPredictor(found_pred)  # v0.13+ : FoundationPredictor必須
det_pred = DetectionPredictor()

# v0.17.x以降: langs引数は廃止 → 渡さないこと
for page in rec_pred([image], det_predictor=det_pred):
    for line in page.text_lines:
        if line.text.strip():
            print(line.text)

API変更履歴 (v0.17.x):

• RecognitionPredictor(foundation_predictor) - FoundationPredictor が必須引数に変更
• __call__() から langs 引数が削除（自動検出に変更）

GPU Configuration

export RECOGNITION_BATCH_SIZE=256
surya_ocr image.png

Scripts

Troubleshooting

License Note

• Surya: GPL-3.0 (code), commercial license required for >$2M revenue