Python 实用脚本：图像、音频、文件加密等自动化场景

Python 实用脚本：图像、音频、文件加密等自动化场景 | 极客日志

pip install pillow pydub cryptography opencv-python numpy keyboard camelot xlrd python-docx pptx gtts pygame

from PIL import Image, ImageDraw, ImageFilter

# 合并图像
img1 = Image.open('img101.jpg')
img2 = Image.open('img102.jpg')
combine = Image.blend(img1, img2, 0.5)

# 调整图像大小
resize = Image.open('img101.jpg')
resize = resize.resize((300, 300))

# 翻转图像
flip_image = Image.open('img101.jpg')
flip_image = flip_image.transpose(Image.FLIP_LEFT_RIGHT)

# 模糊图像
blur_image = Image.open('img101.jpg')
blur_image = blur_image.filter(ImageFilter.BLUR)

# 增强边缘（模拟阴影效果）
shadow_image = Image.open('img101.jpg')
shadow_image = shadow_image.filter(ImageFilter.EDGE_ENHANCE_MORE)

# 裁剪图片
crop_image = Image.open('img101.jpg')
crop_image = crop_image.crop((50, 50, 300, 200))

# 增加亮度
bright_image = Image.open('img101.jpg')
bright_image = bright_image.point(lambda p: p + 50)

# 添加文字
text_image = Image.open('img101.jpg').convert('RGB')
draw = ImageDraw.Draw(text_image)
draw.text((10, 10), "Hello World", fill=(255, 255, 255))

# 旋转图像
rotate_image = Image.open('img101.jpg')
rotate_image = rotate_image.rotate(90)

# 保存图像
img1.save('output_img.jpg')

from pydub import AudioSegment
from pydub.utils import mediainfo
from pydub.playback import play

# 从视频中提取声音
sound = AudioSegment.from_file("video.mp4", format="mp4")
sound.export("music.mp3", format="mp3")

# 获取媒体信息
info = mediainfo("music.wav")
print(info)

# 播放音频
play("music.mp3")

# 合并音频
sound1 = AudioSegment.from_file("music.mp3")
sound2 = AudioSegment.from_file("music.mp3")
combined = sound1 + sound2
combined.export("music_combined.mp3", format="mp3")

# 分割音频
sound = AudioSegment.from_file("music.mp3", format="mp3")
sound_1 = sound[:10000]  # 前 10 秒
sound_2 = sound[10000:]  # 剩余部分
sound_1.export("music_1.mp3", format="mp3")
sound_2.export("music_2.mp3", format="mp3")

# 增大或减小音量
sound = AudioSegment.from_file("music.mp3", format="mp3")
sound_volumn = sound + 10  # 增加 10dB
sound_volumn.export("music_volumn.mp3", format="mp3")

# 为音频添加静音
sound = AudioSegment.from_file("music.mp3", format="mp3")
sound_silence = sound + AudioSegment.silent(duration=1000)  # 添加 1 秒静音
sound_silence.export("music_silence.mp3", format="mp3")

from cryptography.fernet import Fernet
import os

# 生成密钥（仅首次运行需要，后续可保存复用）
def generate_key():
    return Fernet.generate_key()

# 加密函数
def lock_file(file_name, key):
    with open(file_name, 'rb') as file:
        data = file.read()
    f = Fernet(key)
    encrypted_data = f.encrypt(data)
    with open(file_name, 'wb') as file:
        file.write(encrypted_data)
    print("File Locked...")
   
# 解密函数
def unlock_file(file_name, key):
    with open(file_name, 'rb') as file:
        data = file.read()
    f = Fernet(key)
    decrypted_data = f.decrypt(data)
    with open(file_name, 'wb') as file:
        file.write(decrypted_data)
    print("File Unlocked...")
    
# 示例用法
key = b'YOUR_SECRET_KEY_HERE'  # 替换为实际生成的 Key
lock_file('test.txt', key)
unlock_file('test.txt', key)

import pyautogui
import numpy as np
import cv2
import keyboard

def screen_recording():
    while True:
        # Press R to Start Recording
        if keyboard.is_pressed('r'):
            print("Recording Has been Started...")
            capture_area = (1920, 1080) 
            codec = cv2.VideoWriter_fourcc(*'mp4v')
            filename = "Your_Recording.mp4"
            fps = 60.0
            output_video = cv2.VideoWriter(filename, codec, fps, capture_area)
            while True:
                image = pyautogui.screenshot()
                Image_frame = np.array(image)
                Image_frame = cv2.cvtColor(Image_frame, cv2.COLOR_BGR2RGB)
                output_video.write(Image_frame)
                cv2.waitKey(1)
                # Press Q button to Stop recording
                if keyboard.is_pressed('q'):
                    print("Recording Has been Stopped...")
                    break
            output_video.release()
            cv2.destroyAllWindows()
            break

if __name__ == "__main__":
    screen_recording()

import camelot

# 读取 PDF 中的表格
table = camelot.read_pdf('test.pdf', pages='1-2', flavor='lattice')

# 获取表的总数
print("Total tables: ", table.n) 
print(table[0].df)
print(table[1].df)

# 把表格导出为 CSV
table[0].to_csv('table1.csv')
table[1].to_csv('table2.csv')

# 把表格导出为 Excel
table[0].to_excel('table1.xlsx')

# Export Table to HTML
table[0].to_html('table1.html')

# 一次性提取和导出表
table.export('tables.csv', f='csv', compress=True)

import xlrd

wb = xlrd.open_workbook('test.xlsx')
worksheet = wb.sheet_by_index(0)
# 根据行、列读取数据
print(worksheet.cell_value(0, 0))
# read whole row
print(worksheet.row_values(0))
# 读取整列
print(worksheet.col_values(1))

# 写入 Excel（xlrd 主要读，写需用 openpyxl 或 xlsxwriter，此处演示逻辑）
# worksheet.write(0, 0, 'Hello')
# wb.save('test.xlsx')

import docx

doc = docx.Document("zen_of_python.docx")

# 逐段读取
text = [p.text for p in doc.paragraphs]
print(text)

# 逐表读取
for table in doc.tables:
    for row in table.rows:
        for cell in row.cells:
            print(cell.text)

# 写入 Word 文档
doc.add_paragraph("Hello World")
doc.save("test.docx")

from pptx import Presentation

# 浏览幻灯片
PP = Presentation('file.pptx')
for slide in PP.slides:
    for shape in slide.shapes:
        if hasattr(shape, "text_frame") and shape.text_frame:
            for paragraph in shape.text_frame.paragraphs:
                for data in paragraph.runs:
                    print(data.text)

# 写入 PPT
PP = Presentation()
title_slide_layout = PP.slide_layouts[0]
slide = PP.slides.add_slide(title_slide_layout)
title = slide.shapes.title
title.text = "Automation Article"
PP.save('file.pptx')

from PIL import Image

def images_to_pdf(filename_list, output_path):
    images = []
    for file in filename_list:
        im = Image.open(file)
        im = im.convert('RGB')
        images.append(im)
    
    if images:
        images[0].save(output_path, save_all=True, append_images=images[1:])
        print(f"Saved to {output_path}")

images_to_pdf(["test1.jpg", "test2.jpg", "test3.jpg"], "output.pdf")

from pygame import mixer
from gtts import gTTS

def main():
    tts = gTTS('Like This Article', lang='zh-cn')
    tts.save('output.mp3')
    mixer.init()
    mixer.music.load('output.mp3')
    mixer.music.play()
    
if __name__ == "__main__":
    main()

import PIL
from PIL import Image
from tkinter.filedialog import askopenfilename

fl = askopenfilename()
if fl:
    img = Image.open(fl)
    img.save("result.jpg", "JPEG", optimize=True, quality=10)
    print("Compression complete.")

from PIL import Image, ImageFont, ImageDraw

def watermark_img(img_path, res_path, text, pos):
    img = Image.open(img_path)
    wm = ImageDraw.Draw(img)
    col = (9, 3, 10)
    wm.text(pos, text, fill=col)
    img.show()
    img.save(res_path)

img = 'initial.jpg'
watermark_img(img, 'result.jpg', 'Copyright', pos=(10, 10))

Python 实用脚本：图像、音频、文件加密等自动化场景

Python 实用脚本：图像、音频、文件加密等自动化场景

前言

环境准备

1. 图像编辑

2. 音频编辑

3. 文件加解密

4. 录屏工具

5. 从 PDF 中提取表格

6. 办公自动化

Excel 自动化

Word 自动化

PowerPoint 自动化

7. 图片转 PDF

8. 文本转语音

9. 图片压缩

10. 图像加水印

总结与注意事项

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Python 实用脚本：图像、音频、文件加密等自动化场景

Python 实用脚本：图像、音频、文件加密等自动化场景

前言

环境准备

1. 图像编辑

2. 音频编辑

3. 文件加解密

4. 录屏工具

5. 从 PDF 中提取表格

6. 办公自动化

Excel 自动化

Word 自动化

PowerPoint 自动化

7. 图片转 PDF

8. 文本转语音

9. 图片压缩

10. 图像加水印

总结与注意事项

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相关免费在线工具