Batch picture compression can be achieved through various methods, including using software tools, online services, or programming scripts. Here's an explanation with examples and a cloud-related recommendation:
Many image editing tools support batch compression. For example:
Example: In Photoshop, record an action to resize and compress an image, then run the action on a folder of images.
Websites like TinyPNG, Compressor.io, or Squoosh allow uploading multiple images for compression. However, they may have file size limits.
Example: Upload 10 JPEGs to TinyPNG, and it will automatically compress them while maintaining quality.
For automation, scripts can be written in Python (using libraries like Pillow) or Bash (for Linux/macOS).
Python Example (Pillow Library):
from PIL import Image
import os
def compress_images(input_folder, output_folder, quality=85):
if not os.path.exists(output_folder):
os.makedirs(output_folder)
for filename in os.listdir(input_folder):
if filename.lower().endswith(('.png', '.jpg', '.jpeg')):
img_path = os.path.join(input_folder, filename)
img = Image.open(img_path)
img.save(os.path.join(output_folder, filename), optimize=True, quality=quality)
compress_images("input_images", "compressed_images", quality=75)
This script compresses all images in a folder to 75% quality.
For large-scale or enterprise needs, cloud services provide scalable batch compression:
For developers, Tencent Cloud also provides SDKs for Python, Java, and other languages to automate batch compression tasks.
If you need high-performance, cost-effective batch image processing, Tencent Cloud IMG is a reliable choice.