Video & Audio Transcriber · Whisper Speech-to-Text avatar

Video & Audio Transcriber · Whisper Speech-to-Text

Pricing

$20.00 / 1,000 minute of media transcribeds

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Video & Audio Transcriber · Whisper Speech-to-Text

Video & Audio Transcriber · Whisper Speech-to-Text

Transcribe any video or audio URL to text with Whisper running inside the Actor — no API key. TikTok, YouTube, Instagram, Facebook, X, Rumble, podcast RSS feeds & direct files. Full text, timestamped segments, SRT + VTT subtitles, 99+ languages auto-detected. One flat rate for video and audio.

Pricing

$20.00 / 1,000 minute of media transcribeds

Rating

5.0

(1)

Developer

Muhamed Didovic

Muhamed Didovic

Maintained by Community

Actor stats

0

Bookmarked

23

Total users

22

Monthly active users

15 hours ago

Last modified

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Video & Audio Transcriber — Whisper Speech-to-Text for Any URL

$0.05 per minute transcribed — one flat rate for video AND audio · no API key · text + timestamped segments + SRT + VTT · 99+ languages, auto-detected

Transcribe any video or audio URL to text with OpenAI Whisper running inside the Actor (faster-whisper). No external API, no key, no rate limits. Paste links from TikTok, YouTube, Instagram, Facebook, X (Twitter), Rumble, a podcast RSS feed, or a direct media file (mp3, mp4, wav, m4a, …) and get the full transcript, timestamped segments, ready-to-use SRT and VTT subtitles, and the detected language. Works on media that has no captions at all.

How the Video & Audio Transcriber works

Why use this transcriber

  • One Actor for both media types. Video and audio at the same flat $0.05/minute — no separate video and audio products with different rates.
  • Real Whisper transcription, not caption scraping. The audio track is extracted and transcribed, so it works on videos without subtitles.
  • Podcast feeds expand automatically. Point it at an RSS/Atom feed and the newest episodes become transcripts (maxEpisodesPerFeed).
  • Translate while you transcribe. translateToEnglish: true outputs an English transcript and English subtitles from any source language.
  • Subtitles as files, not just strings. Every item stores a downloadable .srt and .vtt in the run's key-value store (srtFileUrl / vttFileUrl).
  • Self-contained. All three Whisper models are baked into the image — nothing downloads at run time, and you never provide an API key.

Supported inputs

Input typeExampleNotes
TikTok videohttps://www.tiktok.com/@user/video/…audio extracted automatically
YouTube video / Shorthttps://www.youtube.com/watch?v=…cookies input available for the bot-check gate
Instagram Reel / posthttps://www.instagram.com/reel/…public content
Facebook videohttps://www.facebook.com/watch?v=…public content
X (Twitter) videohttps://x.com/user/status/…public content
Rumble videohttps://rumble.com/v…
Podcast RSS/Atom feedhttps://feed.syntax.fm/rssnewest maxEpisodesPerFeed episodes
Direct media filehttps://…/episode.mp3mp3, mp4, wav, m4a, flac, ogg, webm, mov, …
1800+ other sitesSoundCloud, Vimeo, Twitch, Dailymotion, Bilibili, …anything yt-dlp supports

Use cases

  • Turn TikToks, Reels and Shorts into searchable, quotable text at scale.
  • Generate SRT/VTT subtitles for repurposing clips across platforms.
  • Transcribe podcast back-catalogs straight from the RSS feed for search, show notes, or SEO pages.
  • Feed spoken content into summarization, RAG pipelines, or trend analysis.
  • Accessibility and compliance transcripts.
  • Monitor what creators or competitors say on video without watching hours of footage.

How it works

  1. Resolve — each URL is classified: social/video platform, podcast feed (expanded to episodes), or direct file. Every download tries a direct connection first and falls back to residential proxy only where networks block datacenter IPs; feeds and direct files never use it.
  2. Extract — yt-dlp downloads the audio track (video is never kept), ffmpeg trims it to your maxMinutesPerItem cap.
  3. Transcribe — faster-whisper (int8, VAD-filtered) runs on the file locally and returns language, segments and timings; the Actor builds the text, SRT and VTT and writes one dataset row per item.

Input configuration

FieldTypeDefaultDescription
mediaUrlsarray— (required)Video/audio/podcast/direct-file URLs, up to 50 per run
languagestringauto-detectISO code (en, es, pt, de, …) to force a language
modelstringbasetiny (fastest) · base (fast) · small (most accurate)
translateToEnglishbooleanfalseOutput English translation instead of original language
maxMinutesPerIteminteger120Per-URL cap; longer media is transcribed up to the cap
maxEpisodesPerFeedinteger1Newest episodes taken per podcast feed
cookiesstring (secret)Netscape cookies.txt for YouTube bot-gate or restricted content
proxyConfigurationobjectresidentialUsed only for social networks; feeds and files go direct

Minimal input:

{
"mediaUrls": ["https://www.youtube.com/watch?v=jNQXAC9IVRw"]
}

Output — key fields

FieldDescription
textFull transcript as one string
segments[{ start, end, text }] with seconds-precision timestamps
srt / vttReady-to-save subtitle strings
srtFileUrl / vttFileUrlDirect download links to the stored .srt / .vtt files
language / languageProbabilityDetected language and confidence
title, uploader, publishedAt, thumbnailUrlMedia metadata from the source
durationSeconds / transcribedSecondsFull source length vs. what was transcribed (after the cap)
billedMinutesMinutes charged for this item (rounded up)
wordCount, model, task, sourceType, platformRun metadata per item
errornull on success; failed items keep the error message and are never charged

Output sample

{
"url": "https://traffic.megaphone.fm/FSI3025045146.mp3",
"inputUrl": "https://feed.syntax.fm/rss",
"sourceType": "podcast-episode",
"platform": "podcast",
"title": "1023: Mosh, Caddy & Tailscale: A Remote Dev Deep Dive",
"uploader": "Syntax - Tasty Web Development Treats",
"publishedAt": "2026-07-22T11:00:00.000Z",
"durationSeconds": 2926.8,
"transcribedSeconds": 120,
"billedMinutes": 2,
"language": "en",
"languageProbability": 0.9956,
"model": "base",
"text": "Everybody has built tools for agents nobody is building actual products …",
"wordCount": 342,
"segments": [
{ "start": 0, "end": 6.04, "text": "Everybody has built tools for agents nobody is building actual products once I got team hooks" }
],
"srt": "1\n00:00:00,000 --> 00:00:06,040\nEverybody has built tools for agents …",
"vtt": "WEBVTT\n\n00:00:00.000 --> 00:00:06.040\nEverybody has built tools …",
"srtFileUrl": "https://api.apify.com/v2/key-value-stores/…/records/001-1023-mosh-caddy.srt",
"error": null
}

Pricing

Pay-per-event: $0.05 per minute of media transcribed — the same rate whether the source is video or audio — plus a one-time actor-start fee of $0.01 per GB of run memory ($0.04 at the default 4 GB). Minutes are rounded up per item; failed items are never charged. No separate platform-usage bill.

MediaCost (default 4 GB run)
1-minute TikTok$0.09
10-minute YouTube video$0.54
45-minute podcast episode$2.29
10 × 1-minute Reels in one run$0.54

FAQ

Do I need an OpenAI or any other API key? No. Whisper runs inside the Actor container. You only provide URLs.

Which sites work? Anything yt-dlp supports (1800+ extractors) plus podcast RSS/Atom feeds and direct media links. TikTok, YouTube, Instagram, Facebook, X and Rumble are tested paths.

What about videos without captions? They work — this transcribes the actual audio, so captions are never required.

How accurate is it? The default base model handles clear speech well across 99+ languages and runs ~2× faster than small. For hard audio (music beds, crosstalk, heavy accents), set model: "small" — the most accurate option.

How fast is it, and does memory matter? Roughly 3–5× faster than realtime at the default 4 GB. Apify allocates one CPU core per 4 GB of run memory, so 8 GB runs transcribe long media about twice as fast. Progress is visible live in the run log and the run's status message (e.g. "transcribed 24/65 min, ~9 min left").

Can it translate? Yes — set translateToEnglish: true and the transcript and subtitles come out in English regardless of source language.

YouTube says "Sign in to confirm you're not a bot"? Paste a Netscape cookies.txt from a logged-in session into the cookies field. The field is stored as a secret.

How do long files bill? A 3-hour source with maxMinutesPerItem: 120 transcribes and bills 120 minutes. Lower the cap to bound spend per item; the Actor also stops before exceeding your run's maximum cost.

An Instagram/Facebook scontent… CDN link fails with "no audio track"? Those raw CDN URLs are usually DASH video-only renditions — the audio lives in a separate stream. Paste the post/reel page URL (e.g. https://www.instagram.com/reel/…) and the Actor downloads the version that includes audio.

Live streams? Ongoing streams can't be transcribed — the recording has to finish first. A stream that ended within the last few hours may still be processing on YouTube's side (downloads are slow and unreliable until then); the Actor tells you when that's the case — retry once the regular video is published.

Spotify links? No — Spotify streams are DRM-protected. Use the show's RSS feed instead (most podcasts have one).

Support

Found a bug or want another output field? Open an issue on the Actor's Issues tab — it is monitored.

🤖 For AI Agents & LLM Apps

Purpose: Turn any video/audio/podcast URL into transcript data (full text + timestamped segments + SRT/VTT + language) with one call. No API key management — Whisper runs inside the Actor.

Minimal input (tested):

{ "mediaUrls": ["https://github.com/openai/whisper/raw/main/tests/jfk.flac"] }

Output fields (flat): url, inputUrl, sourceType, platform, title, uploader, publishedAt, thumbnailUrl, durationSeconds, transcribedSeconds, billedMinutes, language, languageProbability, task, model, text, wordCount, segments[] ({start,end,text}), srt, vtt, srtFileUrl, vttFileUrl, error.

Behaviors agents should know:

  • Podcast feed URLs expand to the newest maxEpisodesPerFeed episodes — one row each.
  • error is non-null on failed items and those rows are never charged; check it before consuming text.
  • Billing: media-minute-transcribed × billedMinutes per item, $0.05 each, plus a one-time apify-actor-start fee of $0.01 per GB of run memory. Bound spend with maxMinutesPerItem and the run's maximum cost setting.
  • Long media takes real time (roughly 0.2–0.5× the media length depending on model); set your wait/polling timeout accordingly, or use tiny for drafts.

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⚠️ Disclaimer

This Actor processes only publicly accessible media that you point it at. Use it in compliance with each platform's Terms of Service and applicable laws, including copyright: transcribe content you have the right to process. You are responsible for how you use the output. The Actor does not bypass logins, paywalls, DRM, or any access controls; the optional cookies input only authenticates your own session to content you can already access.

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