轻量级批量图片压缩代码（支持 JPG / PNG / WEBP）

import os from PIL import Image # 兼容 Pillow 新旧版本的抗锯齿选项 try: RESAMPLE = Image.Resampling.LANCZOS # Pillow ≥ 10 except AttributeError: RESAMPLE = Image.LANCZOS # Pillow < 10 # 支持的图片扩展名 SUPPORTED_FORMATS = [".jpg", ".jpeg", ".png", ".webp"] def compress_image(input_path, output_path, quality=70, max_width=800): try: img = Image.open(input_path) # 如果图片宽度超过 max_width，则按比例缩小 if img.width > max_width: w_percent = max_width / float(img.width) h_size = int(float(img.height) * w_percent) img = img.resize((max_width, h_size), RESAMPLE) # 创建输出目录（如果不存在） os.makedirs(os.path.dirname(output_path), exist_ok=True) # 保存压缩图片 img.save(output_path, optimize=True, quality=quality) print(f"压缩成功: {output_path}") except Exception as e: print(f"压缩失败: {input_path} -> {e}") def compress_images_in_folder(input_folder, output_folder, quality=70, max_width=800): if not os.path.exists(output_folder): os.makedirs(output_folder) for root, _, files in os.walk(input_folder): for file in files: ext = os.path.splitext(file)[1].lower() if ext in SUPPORTED_FORMATS: input_path = os.path.join(root, file) rel_path = os.path.relpath(input_path, input_folder) output_path = os.path.join(output_folder, rel_path) compress_image(input_path, output_path, quality, max_width) if __name__ == "__main__": # 修改这些路径为你自己的文件夹路径 input_dir = r"C:path\photo" # 原图目录 output_dir = r"C:path\photo\y" # 输出目录 compress_quality = 70 # 压缩质量（越低越小，推荐 60-85） max_width = 800 # 最大宽度限制（超出时等比缩小） compress_images_in_folder(input_dir, output_dir, compress_quality, max_width)