🎙️ Audio & Video Transcription — text, SRT & VTT subtitles ($3 per 1,000 minutes)

Turn audio and video files or podcast feeds into accurate text with timestamps. Powered by Whisper large-v3-turbo, 99 languages, automatic language detection, files up to several hours. You only pay for minutes actually transcribed — failed files and files without speech are free.

• ✅ Direct links to mp3, m4a, wav, ogg, flac, mp4, mov, webm, mkv… (up to 700 MB per file)
• ✅ Podcast RSS feeds: transcribe the latest N episodes in one run
• ✅ Plain text + SRT + VTT subtitles ready to use, optional timestamped segments (JSON)
• ✅ Language auto-detection or pick one of 28 common languages
• ✅ Long files are cut into 10-minute pieces automatically and stitched back with correct timestamps
• ✅ Cheap and predictable: one price per audio minute, rounded up per file

How to use it

1. Paste one or more file URLs or podcast feed URLs.
2. Optionally set the language, how many episodes to take from a feed, and a max minutes per file safety limit.
3. Run. Each file becomes one row with text, srt, vtt, language and durationMinutes.

Output example

{
  "sourceUrl": "https://upload.wikimedia.org/wikipedia/commons/d/dd/Armstrong_Small_Step.ogg",
  "status": "ok",
  "language": "english",
  "durationMinutes": 0.2,
  "text": "That's one small step for man, one giant leap for mankind.",
  "srt": "1\n00:00:00,000 --> 00:00:04,500\nThat's one small step for man, one giant leap for mankind.\n",
  "vtt": "WEBVTT\n\n00:00:00.000 --> 00:00:04.500\nThat's one small step for man, one giant leap for mankind.\n",
  "error": null
}

Pricing

$0.003 per audio minute (= $3 per 1,000 minutes). A 1-hour podcast costs about $0.18. Minutes are rounded up per file. Set a maximum cost per run in the run options to stay in control. On the free Apify plan the Actor works in demo mode (1 file, first 2 minutes) so you can check the quality before paying.

What it can't do

• It does not download from YouTube, TikTok, Instagram, Spotify or other streaming sites. Use direct file links or feeds for content you own or have the right to transcribe.
• It does not identify who is speaking (speaker labels).
• Very noisy audio, heavy accents or music-only files can give poor or empty results; empty files are not charged.

Privacy

Files are processed to produce the transcript and deleted right after. Only the transcript is stored in your run's dataset.