📦 image-reader-xytest — 本地OCR识图

# image-reader Skill 识别本地图片内容（支持中文），通过 OCR.space 免费 API 实现。 ## 工作流程 1. 接收图片路径 2. 调用 OCR.space API 进行识别 3. 返回识别结果 ## Python 脚本 保存到 {skill_root}/scripts/ocr_image.py： ``python import urllib.request, urllib.parse, base64, io, json, sys from PIL import Image img_path = sys.argv[1] if len(sys.argv) > 1 else sys.stdin.read().strip() img = Image.open(img_path) img_small = img.resize((1600, 2400), Image.LANCZOS) buf = io.BytesIO() img_small.save(buf, format='JPEG', quality=80) b64_data = base64.b64encode(buf.getvalue()).decode() url = 'https://api.ocr.space/parse/image' params = urllib.parse.urlencode({ 'base64Image': 'data:image/jpeg;base64,' + b64_data, 'language': 'chs', 'isOverlayRequired': 'false', 'detectOrientation': 'true', 'scale': 'true', 'OCREngine': '2', }) data = params.encode('utf-8') req = urllib.request.Request(url, data=data) req.add_header('Content-Type', 'application/x-www-form-urlencoded') req.add_header('apikey', 'helloworld') # OCR.space free demo key with urllib.request.urlopen(req, timeout=30) as resp: raw = resp.read() result = json.loads(raw.decode('utf-8', errors='replace')) if 'ParsedResults' in result: for r in result['ParsedResults']: print(r['ParsedText']) else: print('OCR识别失败:', result) ` ## 使用方式 `bash python {skill_root}/scripts/ocr_image.py "F:/1.jpg" ` ## 依赖 - Python 3 - Pillow (pip install pillow`)