Pricing

from $17.50 / 1,000 audio minute transcribeds

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Audio & Video Transcriber - Speech to Text With Timestamps

Name: Audio & Video Transcriber - Speech to Text With Timestamps
Price: 17.5 USD

Try for free

Transcribe any public audio or video file URL — MP3, M4A, WAV, MP4, WebM and more — into timestamped passages with Whisper running inside the Actor. No API key, nothing sent to a third-party speech service. 20 languages. Pay per minute of audio transcribed.

Pricing

from $17.50 / 1,000 audio minute transcribeds

Rating

0.0

(0)

Developer

Kobkoon Janngam

Actor stats

Bookmarked

Total users

Monthly active users

12 hours ago

Last modified

Categories

Agents

MCP servers

You can access the Audio & Video Transcriber - Speech to Text With Timestamps 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "mediaUrls": [
10        "https://traffic.megaphone.fm/ECM4771087285.mp3",
11        "https://traffic.megaphone.fm/ECM5358659176.mp3",
12    ],
13    "language": "en",
14    "maxMinutesPerFile": 3,
15    "passageSeconds": 30,
16}
17
18# Run the Actor and wait for it to finish
19run = client.actor("appdata-labs/audio-video-transcriber").call(run_input=run_input)
20
21# Fetch and print Actor results from the run's dataset (if there are any)
22print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
23for item in client.dataset(run.default_dataset_id).iterate_items():
24    print(item)
25
26# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Audio & Video Transcriber - Speech to Text (Whisper) API in Python

The Apify API client for Python is the official library that allows you to use Audio & Video Transcriber - Speech to Text With Timestamps API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Audio & Video Transcriber - Speech to Text With Timestamps API in JavaScript

Audio & Video Transcriber - Speech to Text With Timestamps API through CLI

Audio & Video Transcriber - Speech to Text With Timestamps OpenAPI definition

Audio & Video Transcriber - Speech to Text With Timestamps API

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