Microsoft Text to Speech
No credit card required
Microsoft Text to Speech
No credit card required
💫 Use Microsoft Edge TTS service to convert texts into speech
You can access the Microsoft Text to Speech programmatically from your own Python applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9 "query": """The web is the largest and most important source of information ever created by humankind. And yet, most of that information is only available in a human-readable form that cannot be easily used by automated systems.
10
11Our mission is to let people automate mundane tasks on the web and spend their time on things that matter. We strive to keep the web open as a public good and a basic right for everyone, regardless of the way you want to use it, as its creators intended.""",
12 "volume": 0,
13 "rate": 0,
14 "pitch": 0,
15}
16
17# Run the Actor and wait for it to finish
18run = client.actor("jupri/microsoft-tts").call(run_input=run_input)
19
20# Fetch and print Actor results from the run's dataset (if there are any)
21print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
22for item in client.dataset(run["defaultDatasetId"]).iterate_items():
23 print(item)
24
25# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startMicrosoft Text to Speech API in Python
The Apify API client for Python is the official library that allows you to use Microsoft Text to Speech API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
catActor Metrics
5 monthly users
-
4 stars
>99% runs succeeded
6.3 days response time
Created in Feb 2024
Modified 10 days ago
