PicAnalysis/paddleocr/paddleocr_api.py

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
PaddleOCR HTTP API Service
基于 PaddlePaddle 官方镜像的 OCR HTTP 服务
"""

from flask import Flask, request, jsonify
from paddleocr import PaddleOCR
import base64
import io
from PIL import Image
import logging

# 配置日志
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

# 初始化 PaddleOCR
ocr = PaddleOCR(
    use_angle_cls=True,
    lang='ch',
    use_gpu=False,
    show_log=False
)

app = Flask(__name__)

@app.route('/', methods=['GET'])
def index():
    """健康检查"""
    return jsonify({
        "message": "PaddleOCR Server is running!",
        "version": "2.7.0",
        "endpoints": {
            "/": "GET - 健康检查",
            "/ocr/scan": "POST - OCR 识别"
        }
    })

@app.route('/ocr/scan', methods=['POST'])
def ocr_scan():
    """OCR 识别接口"""
    try:
        # 获取请求数据
        data = request.get_json()

        if not data or 'image' not in data:
            return jsonify({
                "success": False,
                "error": "Missing image data"
            }), 400

        # 解码图片
        image_data = data['image']
        if isinstance(image_data, str):
            # Base64 编码
            if image_data.startswith('data:image'):
                image_data = image_data.split(',')[1]
            image_bytes = base64.b64decode(image_data)
        else:
            return jsonify({
                "success": False,
                "error": "Invalid image format"
            }), 400

        # 转换为 PIL Image
        image = Image.open(io.BytesIO(image_bytes))

        # 执行 OCR
        result = ocr.ocr(image, cls=True)

        # 解析结果
        if result and result[0]:
            texts = []
            for line in result[0]:
                box = line[0]
                text_info = line[1]
                texts.append({
                    "text": text_info[0],
                    "confidence": float(text_info[1]),
                    "box": box
                })

            all_text = "\n".join([t["text"] for t in texts])

            return jsonify({
                "success": True,
                "data": {
                    "texts": texts,
                    "fullText": all_text
                }
            })
        else:
            return jsonify({
                "success": False,
                "error": "No text detected"
            }), 200

    except Exception as e:
        logger.error(f"OCR Error: {str(e)}")
        return jsonify({
            "success": False,
            "error": str(e)
        }), 500

@app.route('/ocr/text', methods=['POST'])
def ocr_text():
    """简化的 OCR 接口，只返回文本"""
    try:
        data = request.get_json()

        if not data or 'image' not in data:
            return jsonify({
                "success": False,
                "error": "Missing image data"
            }), 400

        # 解码图片
        image_data = data['image']
        if isinstance(image_data, str):
            if image_data.startswith('data:image'):
                image_data = image_data.split(',')[1]
            image_bytes = base64.b64decode(image_data)
        else:
            return jsonify({
                "success": False,
                "error": "Invalid image format"
            }), 400

        image = Image.open(io.BytesIO(image_bytes))

        # 执行 OCR
        result = ocr.ocr(image, cls=True)

        # 提取文本
        if result and result[0]:
            texts = [line[1][0] for line in result[0]]
            all_text = "\n".join(texts)

            return jsonify({
                "success": True,
                "data": {
                    "text": all_text,
                    "lines": texts
                }
            })
        else:
            return jsonify({
                "success": True,
                "data": {
                    "text": "",
                    "lines": []
                }
            })

    except Exception as e:
        logger.error(f"OCR Error: {str(e)}")
        return jsonify({
            "success": False,
            "error": str(e)
        }), 500

if __name__ == '__main__':
    logger.info("Starting PaddleOCR API server on port 8866...")
    app.run(host='0.0.0.0', port=8866, debug=False)