As you know, Microsoft Edge browser has a powerful Read Aloud feature. It supports dozens of languages, each with different roles to choose from for pronunciation, and the effect is quite excellent.
Based on this, a developer created a Python package called edge-tts. This package allows you to use Microsoft's TTS service in your programs to dub text or subtitles. For example, the video translation software pyVideoTrans integrates edge-tts, allowing users to select it directly as a dubbing channel.
However, unfortunately, there is a serious phenomenon of domestic users abusing Microsoft TTS, and some people even use it for commercial dubbing sales. This has led Microsoft to restrict access from within China. If used too frequently, a 403 error may occur. Only switching IPs or connecting to a stable foreign VPN will allow continued use.
So, can we use a foreign server to build a simple relay service for ourselves? This can not only improve stability, but also make the interface compatible with OpenAI TTS, so that it can be directly used in the OpenAI SDK.
The answer is yes. I recently took the time to create a Docker image that can be easily pulled and started on a server.
After starting, the service interface is fully compatible with OpenAI. Just change the API address to http://deployed_server_ip:7899/v1 to seamlessly replace OpenAI TTS. In addition, it can be used directly in video translation software.
The following will detail how to deploy and use it:
Step 1: Purchase and activate a US server
Step 2: Allow port 7899 in the firewall
Step 3: Connect to the terminal and log in to the server
Step 4: Install Docker
Step 5: Pull the edge-tts-api image and start the API service
If you already have a server with Docker installed, you can skip to step 5 to pull the image.
Step 1: Purchase and Activate a US Server
It is recommended to choose a server in the United States, because there are fewer or no restrictions. The server operating system can be a Linux series. The following takes Debian 12 as an example, and uses Yecaoyun, which I personally use. The reason for choosing it is simple: it is cheap and relatively stable, which is enough for voice-over relay.
If you already have a European or American Linux server, you can skip this section and go directly to the next section. If not, please continue reading.
Then, select any one of the top four configurations, which should be sufficient.
I personally use the 29 yuan/month configuration.
Click the "Buy Now" button to enter the configuration page. Here, select the server operating system as Debian 12, set the server password, and keep the other settings as default.
After the payment is completed, wait a few minutes. After the server is created and started successfully, you need to set up the firewall and open port 7899. You can only connect to the service for dubbing after this port is open.
Step 2: Allow Port 7899 in the Firewall
If you plan to use a domain name and configure Nginx reverse proxy, you do not need to open the port. If you are not familiar with these, for simplicity, it is recommended to directly open the port.
The firewall settings interface varies from server to server and panel to panel. The following takes the Yecaoyun panel I use as an example, and other panels can be used for reference. If you know how to open the port, you can skip this section and go directly to the next section.
First, in "My Products & Services", click the product you just activated to enter the product information and management page.
On this page, you can find the server's IP address, password, and other information.
Find "Firewall" under "Additional Tools" and click to open it.
Then allow port 7899, as shown below:
Step 3: Connect to the Terminal and Log in to the Server
If you already know how to connect to the terminal, or have other SSH terminals such as Xshell, you can skip this step and go directly to the next section.
On the product information page, find Xterm.js Console and click it. Then follow the instructions below:
When the above picture appears, press Enter a few times.
When Login: is displayed, enter root after it, and then press Enter. 
Then Password: will appear. Now you need to paste the password you copied (if you forgot it, you can find it on the product information page).
Note: Do not use Ctrl+V or right-click to paste, as this may cause extra spaces or line breaks to be entered, resulting in an incorrect password.
Hold down the Shift key + Insert key to paste the password to prevent the password from being correct but unable to log in, and then press Enter.
A successful login is shown below.
Step 4: Install Docker
If your server already has Docker installed or you know how to install it, you can skip this step.
Execute the following 5 commands in sequence. Note that you should execute the next command after each command is executed successfully. These commands are only applicable to the Debian 12 series servers.
After [root@xxxxxx~]#, right-click to paste the following command, and press Enter to execute it after pasting.
Command 1: sudo apt update && sudo apt install -y apt-transport-https ca-certificates curl gnupg
Command 2: curl -fsSL https://download.docker.com/linux/debian/gpg | sudo gpg --dearmor -o /usr/share/keyrings/docker-archive-keyring.gpg
Command 3: echo "deb [arch=$(dpkg --print-architecture) signed-by=/usr/share/keyrings/docker-archive-keyring.gpg] https://download.docker.com/linux/debian $(lsb_release -cs) stable" | sudo tee /etc/apt/sources.list.d/docker.list > /dev/null
Command 4: sudo apt update && sudo apt install -y docker-ce docker-ce-cli containerd.io docker-buildx-plugin
Command 5: Start the Docker service. sudo systemctl start docker && sudo systemctl enable docker && sudo usermod -aG docker $USER
This command can be pasted by right-clicking. After pasting, press the Enter key.
Step 5: Pull the edge-tts-api Image and Start the API Service
Enter the following command to automatically pull the image and start the service. After the startup is successful, you can use it in video translation software or other tools that support OpenAI TTS.
docker run -p 7899:7899 jianchang512/edge-tts-api:latest
Press Ctrl+C continuously to stop the service.
Note that this command will run in the foreground. If you close the terminal window, the service will stop.
You can use the following command instead to start the service in the background. You can safely close the terminal after execution.
docker run -d -p 7899:7899 jianchang512/edge-tts-api:latest
If there are no errors, it means that the startup is successful. You can open http://your_ip:7899/v1/audio/speech in your browser to verify. If the result similar to the figure below appears, it means that the startup is successful.
Using in Video Translation Software
Please upgrade the software to v3.40 before use. The upgrade download address is https://pyvideotrans.com/downpackage
Open the menu and go to TTS Settings -> OpenAI TTS and change the interface address to http://your_ip:7899/v1
SK can be filled in arbitrarily, as long as it is not empty. In the role list, separate the roles you want to use with commas.
Available Roles
The following is a list of available roles. Note that the text language and role must match.
Chinese Pronunciation Roles:
zh-HK-HiuGaaiNeural
zh-HK-HiuMaanNeural
zh-HK-WanLungNeural
zh-CN-XiaoxiaoNeural
zh-CN-XiaoyiNeural
zh-CN-YunjianNeural
zh-CN-YunxiNeural
zh-CN-YunxiaNeural
zh-CN-YunyangNeural
zh-CN-liaoning-XiaobeiNeural
zh-TW-HsiaoChenNeural
zh-TW-YunJheNeural
zh-TW-HsiaoYuNeural
zh-CN-shaanxi-XiaoniNeural
English Roles:
en-AU-NatashaNeural
en-AU-WilliamNeural
en-CA-ClaraNeural
en-CA-LiamNeural
en-HK-SamNeural
en-HK-YanNeural
en-IN-NeerjaExpressiveNeural
en-IN-NeerjaNeural
en-IN-PrabhatNeural
en-IE-ConnorNeural
en-IE-EmilyNeural
en-KE-AsiliaNeural
en-KE-ChilembaNeural
en-NZ-MitchellNeural
en-NZ-MollyNeural
en-NG-AbeoNeural
en-NG-EzinneNeural
en-PH-JamesNeural
en-PH-RosaNeural
en-SG-LunaNeural
en-SG-WayneNeural
en-ZA-LeahNeural
en-ZA-LukeNeural
en-TZ-ElimuNeural
en-TZ-ImaniNeural
en-GB-LibbyNeural
en-GB-MaisieNeural
en-GB-RyanNeural
en-GB-SoniaNeural
en-GB-ThomasNeural
en-US-AvaMultilingualNeural
en-US-AndrewMultilingualNeural
en-US-EmmaMultilingualNeural
en-US-BrianMultilingualNeural
en-US-AvaNeural
en-US-AndrewNeural
en-US-EmmaNeural
en-US-BrianNeural
en-US-AnaNeural
en-US-AriaNeural
en-US-ChristopherNeural
en-US-EricNeural
en-US-GuyNeural
en-US-JennyNeural
en-US-MichelleNeural
en-US-RogerNeural
en-US-SteffanNeural
Japanese Roles:
ja-JP-KeitaNeural
ja-JP-NanamiNeural
Korean Roles:
ko-KR-HyunsuNeural
ko-KR-InJoonNeural
ko-KR-SunHiNeural
French Roles:
fr-BE-CharlineNeural
fr-BE-GerardNeural
fr-CA-ThierryNeural
fr-CA-AntoineNeural
fr-CA-JeanNeural
fr-CA-SylvieNeural
fr-FR-VivienneMultilingualNeural
fr-FR-RemyMultilingualNeural
fr-FR-DeniseNeural
fr-FR-EloiseNeural
fr-FR-HenriNeural
fr-CH-ArianeNeural
fr-CH-FabriceNeural
German Roles:
de-AT-IngridNeural
de-AT-JonasNeural
de-DE-SeraphinaMultilingualNeural
de-DE-FlorianMultilingualNeural
de-DE-AmalaNeural
de-DE-ConradNeural
de-DE-KatjaNeural
de-DE-KillianNeural
de-CH-JanNeural
de-CH-LeniNeural
Spanish Roles:
es-AR-ElenaNeural
es-AR-TomasNeural
es-BO-MarceloNeural
es-BO-SofiaNeural
es-CL-CatalinaNeural
es-CL-LorenzoNeural
es-ES-XimenaNeural
es-CO-GonzaloNeural
es-CO-SalomeNeural
es-CR-JuanNeural
es-CR-MariaNeural
es-CU-BelkysNeural
es-CU-ManuelNeural
es-DO-EmilioNeural
es-DO-RamonaNeural
es-EC-AndreaNeural
es-EC-LuisNeural
es-SV-LorenaNeural
es-SV-RodrigoNeural
es-GQ-JavierNeural
es-GQ-TeresaNeural
es-GT-AndresNeural
es-GT-MartaNeural
es-HN-CarlosNeural
es-HN-KarlaNeural
es-MX-DaliaNeural
es-MX-JorgeNeural
es-NI-FedericoNeural
es-NI-YolandaNeural
es-PA-MargaritaNeural
es-PA-RobertoNeural
es-PY-MarioNeural
es-PY-TaniaNeural
es-PE-AlexNeural
es-PE-CamilaNeural
es-PR-KarinaNeural
es-PR-VictorNeural
es-ES-AlvaroNeural
es-ES-ElviraNeural
es-US-AlonsoNeural
es-US-PalomaNeural
es-UY-MateoNeural
es-UY-ValentinaNeural
es-VE-PaolaNeural
es-VE-SebastianNeural
Arabic Roles:
ar-DZ-AminaNeural
ar-DZ-IsmaelNeural
ar-BH-AliNeural
ar-BH-LailaNeural
ar-EG-SalmaNeural
ar-EG-ShakirNeural
ar-IQ-BasselNeural
ar-IQ-RanaNeural
ar-JO-SanaNeural
ar-JO-TaimNeural
ar-KW-FahedNeural
ar-KW-NouraNeural
ar-LB-LaylaNeural
ar-LB-RamiNeural
ar-LY-ImanNeural
ar-LY-OmarNeural
ar-MA-JamalNeural
ar-MA-MounaNeural
ar-OM-AbdullahNeural
ar-OM-AyshaNeural
ar-QA-AmalNeural
ar-QA-MoazNeural
ar-SA-HamedNeural
ar-SA-ZariyahNeural
ar-SY-AmanyNeural
ar-SY-LaithNeural
ar-TN-HediNeural
ar-TN-ReemNeural
ar-AE-FatimaNeural
ar-AE-HamdanNeural
ar-YE-MaryamNeural
ar-YE-SalehNeural
Bengali Roles:
bn-BD-NabanitaNeural
bn-BD-PradeepNeural
bn-IN-BashkarNeural
bn-IN-TanishaaNeural
Czech Roles
cs-CZ-AntoninNeural
cs-CZ-VlastaNeural
Dutch Roles:
nl-BE-ArnaudNeural
nl-BE-DenaNeural
nl-NL-ColetteNeural
nl-NL-FennaNeural
nl-NL-MaartenNeural
Hebrew Roles:
he-IL-AvriNeural
he-IL-HilaNeural
Hindi Roles:
hi-IN-MadhurNeural
hi-IN-SwaraNeural
Hungarian Roles:
hu-HU-NoemiNeural
hu-HU-TamasNeural
Indonesian Roles:
id-ID-ArdiNeural
id-ID-GadisNeural
Italian Roles:
it-IT-GiuseppeNeural
it-IT-DiegoNeural
it-IT-ElsaNeural
it-IT-IsabellaNeural
Kazakh Roles:
kk-KZ-AigulNeural
kk-KZ-DauletNeural
Malay Roles:
ms-MY-OsmanNeural
ms-MY-YasminNeural
Polish Roles:
pl-PL-MarekNeural
pl-PL-ZofiaNeural
Portuguese Roles:
pt-BR-ThalitaNeural
pt-BR-AntonioNeural
pt-BR-FranciscaNeural
pt-PT-DuarteNeural
pt-PT-RaquelNeural
Russian Roles:
ru-RU-DmitryNeural
ru-RU-SvetlanaNeural
Swedish Roles:
sw-KE-RafikiNeural
sw-KE-ZuriNeural
sw-TZ-DaudiNeural
sw-TZ-RehemaNeural
Thai Roles:
th-TH-NiwatNeural
th-TH-PremwadeeNeural
Turkish Roles:
tr-TR-AhmetNeural
tr-TR-EmelNeural
Ukrainian Roles:
uk-UA-OstapNeural
uk-UA-PolinaNeural
Vietnamese Roles:
vi-VN-HoaiMyNeural
vi-VN-NamMinhNeuralUsing in OpenAI SDK
You need to install the openai library pip install openai
from openai import OpenAI
client = OpenAI(api_key='12314', base_url='http://your_ip:7899/v1')
with client.audio.speech.with_streaming_response.create(
model='tts-1',
voice='zh-CN-YunxiNeural',
input='Hello, dear friends',
speed=1.0
) as response:
with open('./test.mp3', 'wb') as f:
for chunk in response.iter_bytes():
f.write(chunk)Directly Using Requests for Calls
import requests
res=requests.post('http://your_ip:7899/v1',data={"voice":"zh-CN-YunxiNeural",
"input":"Hello, dear friends",
speed=1.0 })
with open('./test.mp3', 'wb') as f:
f.write(res.content)