Podcast Transcription: Episodes to Text, SRT & Monitor
Pricing
from $6.00 / 1,000 audio minute transcribeds
Transcribe podcast episodes to text: enter a podcast name, Apple Podcasts link or RSS feed and get the latest episodes as a transcript, SRT subtitles and timestamped segments. Monitor shows for new episodes. $6 per 1,000 audio minutes; failed episodes are free.
You can access the Podcast Transcription: Episodes to Text, SRT & Monitor programmatically from your own 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 API & Integrations in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = { "shows": ["NPR News Now"] }9
10# Run the Actor and wait for it to finish11run = client.actor("tenfoldfleet/podcast-transcription").call(run_input=run_input)12
13# Fetch and print Actor results from the run's dataset (if there are any)14print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")15for item in client.dataset(run.default_dataset_id).iterate_items():16 print(item)17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Podcast Transcription: Episodes to Text, SRT & Monitor API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: