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Python怎么實(shí)現(xiàn)PDF轉(zhuǎn)MP3

發(fā)布時(shí)間:2023-05-05 10:51:01 來(lái)源:億速云 閱讀:123 作者:zzz 欄目:開(kāi)發(fā)技術(shù)

這篇“Python怎么實(shí)現(xiàn)PDF轉(zhuǎn)MP3”文章的知識(shí)點(diǎn)大部分人都不太理解,所以小編給大家總結(jié)了以下內(nèi)容,內(nèi)容詳細(xì),步驟清晰,具有一定的借鑒價(jià)值,希望大家閱讀完這篇文章能有所收獲,下面我們一起來(lái)看看這篇“Python怎么實(shí)現(xiàn)PDF轉(zhuǎn)MP3”文章吧。

一、PDF轉(zhuǎn)為MP3 

我們平??吹胶芏辔募际荘DF格式,網(wǎng)上的各類(lèi)書(shū)籍多為此格式。有時(shí)候不方便閱讀,或者怕費(fèi)眼睛傷頸椎,那么有沒(méi)有一種方法可以把它變?yōu)橐纛l,這樣上下班路上也就可以聽(tīng)一聽(tīng)。

這里做個(gè)科普,什么是TTS?TTS(Text To Speech,文本轉(zhuǎn)語(yǔ)音)是語(yǔ)音合成應(yīng)用的一種,它將儲(chǔ)存于電腦中的文件,如幫助文件或者網(wǎng)頁(yè),轉(zhuǎn)換成自然語(yǔ)音輸出。edge-tts就是將微軟的語(yǔ)音合成技術(shù),他是將edge瀏覽器里提供的tts打包成Python第三方包,這樣就可以免費(fèi)調(diào)用微軟的語(yǔ)音合成技術(shù)。

二、準(zhǔn)備工作

將PDF轉(zhuǎn)為音頻MP3文件,需要兩步。第一步,將pdf轉(zhuǎn)為txt文本;第二步,將txt轉(zhuǎn)為音頻。所以我們需要以下兩個(gè)庫(kù)。

1. 安裝pdfplumber包,用于將pdf轉(zhuǎn)為txt

(base) C:\Users\Administrator>pip install pdfplumber
Collecting pdfplumber
  Downloading pdfplumber-0.9.0-py3-none-any.whl (46 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 46.1/46.1 kB 385.4 kB/s eta 0:00:00
Collecting pdfminer.six==20221105
  Downloading pdfminer.six-20221105-py3-none-any.whl (5.6 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 5.6/5.6 MB 8.1 MB/s eta 0:00:00
Collecting Wand>=0.6.10
  Downloading Wand-0.6.11-py2.py3-none-any.whl (143 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 143.6/143.6 kB ? eta 0:00:00
Requirement already satisfied: Pillow>=9.1 in d:\programdata\anaconda3\lib\site-packages (from pdfplumber) (9.4.0)
Requirement already satisfied: charset-normalizer>=2.0.0 in d:\programdata\anaconda3\lib\site-packages (from pdfminer.six==20221105->pdfplumber) (2.0.4)
Requirement already satisfied: cryptography>=36.0.0 in d:\programdata\anaconda3\lib\site-packages (from pdfminer.six==20221105->pdfplumber) (39.0.1)
Requirement already satisfied: cffi>=1.12 in d:\programdata\anaconda3\lib\site-packages (from cryptography>=36.0.0->pdfminer.six==20221105->pdfplumber) (1.15.1)
Requirement already satisfied: pycparser in d:\programdata\anaconda3\lib\site-packages (from cffi>=1.12->cryptography>=36.0.0->pdfminer.six==20221105->pdfplumber) (2.21)
Installing collected packages: Wand, pdfminer.six, pdfplumber
Successfully installed Wand-0.6.11 pdfminer.six-20221105 pdfplumber-0.9.0

2. 安裝edge-tts包,用于將txt轉(zhuǎn)為音頻

(base) C:\Users\Administrator>pip install edge-tts
Collecting edge-tts
  Downloading edge_tts-6.1.5-py3-none-any.whl (27 kB)
Requirement already satisfied: aiohttp>=3.8.0 in d:\programdata\anaconda3\lib\site-packages (from edge-tts) (3.8.4)
Requirement already satisfied: yarl<2.0,>=1.0 in d:\programdata\anaconda3\lib\site-packages (from aiohttp>=3.8.0->edge-tts) (1.8.2)
Requirement already satisfied: multidict<7.0,>=4.5 in d:\programdata\anaconda3\lib\site-packages (from aiohttp>=3.8.0->edge-tts) (6.0.4)
Requirement already satisfied: frozenlist>=1.1.1 in d:\programdata\anaconda3\lib\site-packages (from aiohttp>=3.8.0->edge-tts) (1.3.3)
Requirement already satisfied: attrs>=17.3.0 in d:\programdata\anaconda3\lib\site-packages (from aiohttp>=3.8.0->edge-tts) (22.1.0)
Requirement already satisfied: async-timeout<5.0,>=4.0.0a3 in d:\programdata\anaconda3\lib\site-packages (from aiohttp>=3.8.0->edge-tts) (4.0.2)
Requirement already satisfied: aiosignal>=1.1.2 in d:\programdata\anaconda3\lib\site-packages (from aiohttp>=3.8.0->edge-tts) (1.3.1)
Requirement already satisfied: charset-normalizer<4.0,>=2.0 in d:\programdata\anaconda3\lib\site-packages (from aiohttp>=3.8.0->edge-tts) (2.0.4)
Requirement already satisfied: idna>=2.0 in d:\programdata\anaconda3\lib\site-packages (from yarl<2.0,>=1.0->aiohttp>=3.8.0->edge-tts) (3.4)
Installing collected packages: edge-tts
Successfully installed edge-tts-6.1.5

三、代碼很簡(jiǎn)單

# -*- coding: utf-8 -*-

import pdfplumber
import asyncio  
import os
import edge_tts  
from edge_tts import VoicesManager  

async def txt2mp3(txt,mp3,announcer='Microsoft Server Speech Text to Speech Voice (zh-CN, XiaoxiaoNeural)') -> None:
    # 將文本轉(zhuǎn)換為mp3音頻
    communicate = edge_tts.Communicate(txt, announcer)  
    await communicate.save(mp3)

async def get_announcer(Gender="Female", Language="zh"):
    voices = await VoicesManager.create()  
    voice = voices.find(Gender=Gender, Language=Language)
    print(voice)

if __name__ == "__main__":  

    rootdir = 'd:\\python_csdn\\files\\'
    filename = '道德經(jīng).pdf'
    pdf_path = rootdir+filename
    announcer='Microsoft Server Speech Text to Speech Voice (zh-CN, XiaoxiaoNeural)'

    if 0:
        # 查看可用播音角色(性別女性,語(yǔ)言為中文)
        asyncio.run(get_announcer(Gender="Female", Language="zh"))
        
    if 1:
        # 讀取pdf并提取文本到txt文件,并將其內(nèi)容轉(zhuǎn)為mp3音頻文件。
        page_num = 0
        with pdfplumber.open(pdf_path) as pdf:
            for page in pdf.pages:
                textdata = page.extract_text().replace("\n", "")#提取文字后刪除末尾換行,以免轉(zhuǎn)音頻卡頓
                page_num += 1
                txt_path = pdf_path.split(".")[0]+"{:03d}".format(page_num)+'.txt'
                if len(textdata)>0:
                    with open(txt_path ,'a',encoding='utf-8') as txt:
                        txt.write(textdata)
                        print('第'+str(page_num)+'頁(yè):',textdata)
                        mp3_path = txt_path.split(".")[0]+'.mp3'
                        asyncio.run(txt2mp3(textdata,mp3_path))
                        print('第'+str(page_num)+'個(gè)txt文件已轉(zhuǎn)音頻:',mp3_path)
        print('Pdf文件共有'+str(page_num)+'頁(yè),已轉(zhuǎn)換完成')

很快就搞定啦,見(jiàn)下圖。以后再想聽(tīng)PDF就把上面代碼跑起來(lái)!

Python怎么實(shí)現(xiàn)PDF轉(zhuǎn)MP3

四、變更播音員

在以上程序中修改以下代碼if條件為1,即可查看可用播音角色。

    if 1:
        # 查看可用播音角色(性別女性,語(yǔ)言為中文),男性Gender="Male"
        asyncio.run(get_announcer(Gender="Female", Language="zh"))

運(yùn)行后結(jié)果為一個(gè)list,通過(guò)json格式化后,如下所示。變更播音員只需要使用Name值替換前面announcer值即可。是不是很簡(jiǎn)單?

[{
    'Name': 'Microsoft Server Speech Text to Speech Voice (zh-HK, HiuGaaiNeural)',
    'ShortName': 'zh-HK-HiuGaaiNeural',
    'Gender': 'Female',
    'Locale': 'zh-HK',
    'SuggestedCodec': 'audio-24khz-48kbitrate-mono-mp3',
    'FriendlyName': 'Microsoft HiuGaai Online (Natural) - Chinese (Cantonese Traditional)',
    'Status': 'GA',
    'VoiceTag': {
        'ContentCategories': ['General'],
        'VoicePersonalities': ['Friendly', 'Positive']
    },
    'Language': 'zh'
}, {
    'Name': 'Microsoft Server Speech Text to Speech Voice (zh-HK, HiuMaanNeural)',
    'ShortName': 'zh-HK-HiuMaanNeural',
    'Gender': 'Female',
    'Locale': 'zh-HK',
    'SuggestedCodec': 'audio-24khz-48kbitrate-mono-mp3',
    'FriendlyName': 'Microsoft HiuMaan Online (Natural) - Chinese (Hong Kong)',
    'Status': 'GA',
    'VoiceTag': {
        'ContentCategories': ['General'],
        'VoicePersonalities': ['Friendly', 'Positive']
    },
    'Language': 'zh'
}, {
    'Name': 'Microsoft Server Speech Text to Speech Voice (zh-CN, XiaoxiaoNeural)',
    'ShortName': 'zh-CN-XiaoxiaoNeural',
    'Gender': 'Female',
    'Locale': 'zh-CN',
    'SuggestedCodec': 'audio-24khz-48kbitrate-mono-mp3',
    'FriendlyName': 'Microsoft Xiaoxiao Online (Natural) - Chinese (Mainland)',
    'Status': 'GA',
    'VoiceTag': {
        'ContentCategories': ['News', 'Novel'],
        'VoicePersonalities': ['Warm']
    },
    'Language': 'zh'
}, {
    'Name': 'Microsoft Server Speech Text to Speech Voice (zh-CN, XiaoyiNeural)',
    'ShortName': 'zh-CN-XiaoyiNeural',
    'Gender': 'Female',
    'Locale': 'zh-CN',
    'SuggestedCodec': 'audio-24khz-48kbitrate-mono-mp3',
    'FriendlyName': 'Microsoft Xiaoyi Online (Natural) - Chinese (Mainland)',
    'Status': 'GA',
    'VoiceTag': {
        'ContentCategories': ['Cartoon', 'Novel'],
        'VoicePersonalities': ['Lively']
    },
    'Language': 'zh'
}, {
    'Name': 'Microsoft Server Speech Text to Speech Voice (zh-CN-liaoning, XiaobeiNeural)',
    'ShortName': 'zh-CN-liaoning-XiaobeiNeural',
    'Gender': 'Female',
    'Locale': 'zh-CN-liaoning',
    'SuggestedCodec': 'audio-24khz-48kbitrate-mono-mp3',
    'FriendlyName': 'Microsoft Xiaobei Online (Natural) - Chinese (Northeastern Mandarin)',
    'Status': 'GA',
    'VoiceTag': {
        'ContentCategories': ['Dialect'],
        'VoicePersonalities': ['Humorous']
    },
    'Language': 'zh'
}, {
    'Name': 'Microsoft Server Speech Text to Speech Voice (zh-TW, HsiaoChenNeural)',
    'ShortName': 'zh-TW-HsiaoChenNeural',
    'Gender': 'Female',
    'Locale': 'zh-TW',
    'SuggestedCodec': 'audio-24khz-48kbitrate-mono-mp3',
    'FriendlyName': 'Microsoft HsiaoChen Online (Natural) - Chinese (Taiwan)',
    'Status': 'GA',
    'VoiceTag': {
        'ContentCategories': ['General'],
        'VoicePersonalities': ['Friendly', 'Positive']
    },
    'Language': 'zh'
}, {
    'Name': 'Microsoft Server Speech Text to Speech Voice (zh-TW, HsiaoYuNeural)',
    'ShortName': 'zh-TW-HsiaoYuNeural',
    'Gender': 'Female',
    'Locale': 'zh-TW',
    'SuggestedCodec': 'audio-24khz-48kbitrate-mono-mp3',
    'FriendlyName': 'Microsoft HsiaoYu Online (Natural) - Chinese (Taiwanese Mandarin)',
    'Status': 'GA',
    'VoiceTag': {
        'ContentCategories': ['General'],
        'VoicePersonalities': ['Friendly', 'Positive']
    },
    'Language': 'zh'
}, {
    'Name': 'Microsoft Server Speech Text to Speech Voice (zh-CN-shaanxi, XiaoniNeural)',
    'ShortName': 'zh-CN-shaanxi-XiaoniNeural',
    'Gender': 'Female',
    'Locale': 'zh-CN-shaanxi',
    'SuggestedCodec': 'audio-24khz-48kbitrate-mono-mp3',
    'FriendlyName': 'Microsoft Xiaoni Online (Natural) - Chinese (Zhongyuan Mandarin Shaanxi)',
    'Status': 'GA',
    'VoiceTag': {
        'ContentCategories': ['Dialect'],
        'VoicePersonalities': ['Bright']
    },
    'Language': 'zh'
}]

總結(jié)

查看所有播音角色,執(zhí)行命令:>edge-tts --list-voices

(base) C:\Users\Administrator>edge-tts --list-voices
Name: af-ZA-AdriNeural
Gender: Female
Name: af-ZA-WillemNeural
Gender: Male
Name: am-ET-AmehaNeural
Gender: Male
Name: am-ET-MekdesNeural
Gender: Female
Name: ar-AE-FatimaNeural
Gender: Female
Name: ar-AE-HamdanNeural
Gender: Male
Name: ar-BH-AliNeural
Gender: Male
Name: ar-BH-LailaNeural
Gender: Female
Name: ar-DZ-AminaNeural
Gender: Female
Name: ar-DZ-IsmaelNeural
Gender: Male
Name: ar-EG-SalmaNeural
Gender: Female
Name: ar-EG-ShakirNeural
Gender: Male
Name: ar-IQ-BasselNeural
Gender: Male
Name: ar-IQ-RanaNeural
Gender: Female
Name: ar-JO-SanaNeural
Gender: Female
Name: ar-JO-TaimNeural
Gender: Male
Name: ar-KW-FahedNeural
Gender: Male
Name: ar-KW-NouraNeural
Gender: Female
Name: ar-LB-LaylaNeural
Gender: Female
Name: ar-LB-RamiNeural
Gender: Male
Name: ar-LY-ImanNeural
Gender: Female
Name: ar-LY-OmarNeural
Gender: Male
Name: ar-MA-JamalNeural
Gender: Male
Name: ar-MA-MounaNeural
Gender: Female
Name: ar-OM-AbdullahNeural
Gender: Male
Name: ar-OM-AyshaNeural
Gender: Female
Name: ar-QA-AmalNeural
Gender: Female
Name: ar-QA-MoazNeural
Gender: Male
Name: ar-SA-HamedNeural
Gender: Male
Name: ar-SA-ZariyahNeural
Gender: Female
Name: ar-SY-AmanyNeural
Gender: Female
Name: ar-SY-LaithNeural
Gender: Male
Name: ar-TN-HediNeural
Gender: Male
Name: ar-TN-ReemNeural
Gender: Female
Name: ar-YE-MaryamNeural
Gender: Female
Name: ar-YE-SalehNeural
Gender: Male
Name: az-AZ-BabekNeural
Gender: Male
Name: az-AZ-BanuNeural
Gender: Female
Name: bg-BG-BorislavNeural
Gender: Male
Name: bg-BG-KalinaNeural
Gender: Female
Name: bn-BD-NabanitaNeural
Gender: Female
Name: bn-BD-PradeepNeural
Gender: Male
Name: bn-IN-BashkarNeural
Gender: Male
Name: bn-IN-TanishaaNeural
Gender: Female
Name: bs-BA-GoranNeural
Gender: Male
Name: bs-BA-VesnaNeural
Gender: Female
Name: ca-ES-EnricNeural
Gender: Male
Name: ca-ES-JoanaNeural
Gender: Female
Name: cs-CZ-AntoninNeural
Gender: Male
Name: cs-CZ-VlastaNeural
Gender: Female
Name: cy-GB-AledNeural
Gender: Male
Name: cy-GB-NiaNeural
Gender: Female
Name: da-DK-ChristelNeural
Gender: Female
Name: da-DK-JeppeNeural
Gender: Male
Name: de-AT-IngridNeural
Gender: Female
Name: de-AT-JonasNeural
Gender: Male
Name: de-CH-JanNeural
Gender: Male
Name: de-CH-LeniNeural
Gender: Female
Name: de-DE-AmalaNeural
Gender: Female
Name: de-DE-ConradNeural
Gender: Male
Name: de-DE-KatjaNeural
Gender: Female
Name: de-DE-KillianNeural
Gender: Male
Name: el-GR-AthinaNeural
Gender: Female
Name: el-GR-NestorasNeural
Gender: Male
Name: en-AU-NatashaNeural
Gender: Female
Name: en-AU-WilliamNeural
Gender: Male
Name: en-CA-ClaraNeural
Gender: Female
Name: en-CA-LiamNeural
Gender: Male
Name: en-GB-LibbyNeural
Gender: Female
Name: en-GB-MaisieNeural
Gender: Female
Name: en-GB-RyanNeural
Gender: Male
Name: en-GB-SoniaNeural
Gender: Female
Name: en-GB-ThomasNeural
Gender: Male
Name: en-HK-SamNeural
Gender: Male
Name: en-HK-YanNeural
Gender: Female
Name: en-IE-ConnorNeural
Gender: Male
Name: en-IE-EmilyNeural
Gender: Female
Name: en-IN-NeerjaExpressiveNeural
Gender: Female
Name: en-IN-NeerjaNeural
Gender: Female
Name: en-IN-PrabhatNeural
Gender: Male
Name: en-KE-AsiliaNeural
Gender: Female
Name: en-KE-ChilembaNeural
Gender: Male
Name: en-NG-AbeoNeural
Gender: Male
Name: en-NG-EzinneNeural
Gender: Female
Name: en-NZ-MitchellNeural
Gender: Male
Name: en-NZ-MollyNeural
Gender: Female
Name: en-PH-JamesNeural
Gender: Male
Name: en-PH-RosaNeural
Gender: Female
Name: en-SG-LunaNeural
Gender: Female
Name: en-SG-WayneNeural
Gender: Male
Name: en-TZ-ElimuNeural
Gender: Male
Name: en-TZ-ImaniNeural
Gender: Female
Name: en-US-AnaNeural
Gender: Female
Name: en-US-AriaNeural
Gender: Female
Name: en-US-ChristopherNeural
Gender: Male
Name: en-US-EricNeural
Gender: Male
Name: en-US-GuyNeural
Gender: Male
Name: en-US-JennyNeural
Gender: Female
Name: en-US-MichelleNeural
Gender: Female
Name: en-US-RogerNeural
Gender: Male
Name: en-US-SteffanNeural
Gender: Male
Name: en-ZA-LeahNeural
Gender: Female
Name: en-ZA-LukeNeural
Gender: Male
Name: es-AR-ElenaNeural
Gender: Female
Name: es-AR-TomasNeural
Gender: Male
Name: es-BO-MarceloNeural
Gender: Male
Name: es-BO-SofiaNeural
Gender: Female
Name: es-CL-CatalinaNeural
Gender: Female
Name: es-CL-LorenzoNeural
Gender: Male
Name: es-CO-GonzaloNeural
Gender: Male
Name: es-CO-SalomeNeural
Gender: Female
Name: es-CR-JuanNeural
Gender: Male
Name: es-CR-MariaNeural
Gender: Female
Name: es-CU-BelkysNeural
Gender: Female
Name: es-CU-ManuelNeural
Gender: Male
Name: es-DO-EmilioNeural
Gender: Male
Name: es-DO-RamonaNeural
Gender: Female
Name: es-EC-AndreaNeural
Gender: Female
Name: es-EC-LuisNeural
Gender: Male
Name: es-ES-AlvaroNeural
Gender: Male
Name: es-ES-ElviraNeural
Gender: Female
Name: es-GQ-JavierNeural
Gender: Male
Name: es-GQ-TeresaNeural
Gender: Female
Name: es-GT-AndresNeural
Gender: Male
Name: es-GT-MartaNeural
Gender: Female
Name: es-HN-CarlosNeural
Gender: Male
Name: es-HN-KarlaNeural
Gender: Female
Name: es-MX-DaliaNeural
Gender: Female
Name: es-MX-JorgeNeural
Gender: Male
Name: es-NI-FedericoNeural
Gender: Male
Name: es-NI-YolandaNeural
Gender: Female
Name: es-PA-MargaritaNeural
Gender: Female
Name: es-PA-RobertoNeural
Gender: Male
Name: es-PE-AlexNeural
Gender: Male
Name: es-PE-CamilaNeural
Gender: Female
Name: es-PR-KarinaNeural
Gender: Female
Name: es-PR-VictorNeural
Gender: Male
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