Audio Transcriber โ Podcasts, Calls & Meetings
Pricing
from $6.30 / 1,000 minute transcribeds
Turn recordings into text: podcasts, interviews, calls, meetings and voice notes in 90+ languages, with timecodes on every passage. Takes a file of any length or a podcast link. Speaker labels, SRT, RAG chunks. Export data, run via API, schedule runs, or integrate with AI workflows.
You can access the Audio Transcriber โ Podcasts, Calls & Meetings programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youโll 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 = {9 "urls": ["https://raw.githubusercontent.com/lergassy/apify-actor-assets/main/audio-samples/conversation-4min.ogg"],10 "quality": "fast",11 "diarize": False,12}13
14# Run the Actor and wait for it to finish15run = client.actor("lergassy/audio-transcriber").call(run_input=run_input)16
17# Fetch and print Actor results from the run's dataset (if there are any)18print(f"๐พ Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")19for item in client.dataset(run.default_dataset_id).iterate_items():20 print(item)21
22# ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Audio Transcriber โ Podcasts, Calls & Meetings API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: