Audio, Video and Podcast Transcriber (Whisper Large v3)

What you can do with it

• Write show notes and searchable archives from podcast episodes.
• Make SRT or VTT subtitles in short two-line captions for videos and courses.
• Transcribe interviews, lectures and calls in any of 99 languages, with timestamps.
• Transcribe the newest episodes of shows you follow on a daily schedule.

What you get

Results come as rows in an Apify dataset, which you can export as JSON, CSV or Excel or read over the API. These are the main fields:

Pricing

This Actor is pay per event. Apify plan tiers set the price: the column for your Apify plan is what you pay, and higher plans pay less per result. Prices are per 1,000 events.

Run start fee: $0.05 per 1,000 runs. Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event). Prices come from the Apify Store and can change; the Actor's Apify page always shows the current ones. Platform usage is billed through your Apify account.

Run it from code

Create an API token in Apify Console (Settings, API and Integrations) and replace YOUR_APIFY_TOKEN. This call starts a run with a small input and returns the rows when it finishes. Synchronous calls suit small inputs; for big jobs, start a run and read the dataset later.

curl

curl -X POST "https://api.apify.com/v2/acts/apisamurai~audio-podcast-transcriber/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "podcasts": [
    "https://podcasts.apple.com/us/podcast/the-indicator-from-planet-money/id1320118593"
  ],
  "maxEpisodesPerPodcast": 1,
  "subtitles": true
}'

Python (pip install apify-client)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run_input = {
    "podcasts": ["https://podcasts.apple.com/us/podcast/the-indicator-from-planet-money/id1320118593"],
    "maxEpisodesPerPodcast": 1,
    "subtitles": True,
}

# Start the Actor and wait for it to finish.
run = client.actor("apisamurai/audio-podcast-transcriber").call(run_input=run_input)

# Read the results from the run's default dataset.
items = client.dataset(run.default_dataset_id).list_items().items
for item in items:
    print(item)

JavaScript (npm install apify-client)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const input = {
    podcasts: ['https://podcasts.apple.com/us/podcast/the-indicator-from-planet-money/id1320118593'],
    maxEpisodesPerPodcast: 1,
    subtitles: true,
};

// Start the Actor and wait for it to finish.
const run = await client.actor('apisamurai/audio-podcast-transcriber').call(input);

// Read the results from the run's default dataset.
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Client calls follow the Python and JavaScript client docs. The full input reference is on the Actor's Apify page.

FAQ

What can I paste?

Direct public links to mp3, m4a, wav, ogg, mp4 or webm files, and Apple Podcasts show links or RSS feeds. YouTube page links are not supported.

What about Spotify shows?

Spotify has no public audio feed. Use the show's Apple Podcasts link or RSS feed instead.

What does the free Apify plan allow?

Up to 2 files of up to 20 minutes each per run. Any paid plan removes these limits.

What is not charged?

Files that fail or are skipped, including files longer than Max minutes per file (4 hours by default).

Where do I report a problem?

Email hello@apisamurai.com, or open an issue on the Actor's Apify page.