Audio Speech-to-Text Transcriber
Pricing
Pay per event
Go to Apify Store
Audio Speech-to-Text Transcriber
Transcribe public audio and video URLs into text, timestamped segments, SRT, and VTT with local Whisper inference and no transcription API key.
Audio Speech-to-Text Transcriber
Pricing
Pay per event
Transcribe public audio and video URLs into text, timestamped segments, SRT, and VTT with local Whisper inference and no transcription API key.
You can access the Audio Speech-to-Text Transcriber 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 Integrations settings 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 "mediaUrls": [{ "url": "https://raw.githubusercontent.com/ggerganov/whisper.cpp/master/samples/jfk.wav" }],10 "language": "auto",11 "outputFormats": [12 "srt",13 "vtt",14 ],15 "maxFileSizeMb": 250,16 "maxDurationMinutes": 60,17}18
19# Run the Actor and wait for it to finish20run = client.actor("automation-lab/audio-speech-to-text-transcriber").call(run_input=run_input)21
22# Fetch and print Actor results from the run's dataset (if there are any)23print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])24for item in client.dataset(run["defaultDatasetId"]).iterate_items():25 print(item)26
27# 📚 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 Speech-to-Text Transcriber API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: