Audio Transcription - Speech to Text, Audio to Text, Whisper
Pricing
from $4.80 / 1,000 audio minutes
Speech to text for audio, video, YouTube and podcast RSS, using Whisper. Get text with timestamps plus SRT, VTT, TXT and Markdown files. $0.006 per started audio minute; optional speaker labels $0.015/min. Failed and silent files are free. Up to 1,000 links per run.
You can access the Audio Transcription - Speech to Text, Audio to Text, Whisper 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 = {9 "urls": ["https://webcapture-api.yukailin.workers.dev/samples/speech-sample.wav"],10 "maxEpisodesPerFeed": 1,11 "contentPackSubtitleLanguages": [],12 "subtitleLanguages": [],13}14
15# Run the Actor and wait for it to finish16run = client.actor("tidytools/audio-transcriber").call(run_input=run_input)17
18# Fetch and print Actor results from the run's dataset (if there are any)19print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")20for item in client.dataset(run.default_dataset_id).iterate_items():21 print(item)22
23# 📚 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 Audio Transcription - Speech to Text, Audio to Text, Whisper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: