YouTube Transcript Scraper - Timestamps, No API Key or Login

YouTube Transcript Scraper is a YouTube transcript API that turns YouTube subtitles and captions into text with timestamps — no YouTube API key, cookies or login needed: paste video, channel or playlist links and get one row per video with the full transcript, timestamped segments and video details. Videos without a transcript and failed videos are free.

Need English only? Use {"videos":["https://www.youtube.com/watch?v=jNQXAC9IVRw"],"languages":["en"]}; this URL demonstrates the setting, not a mismatch. For a different video with only Arabic captions, an illustrative default Dataset row is {"success":false,"failureReason":"language_mismatch","availableLanguages":["ar"]}. It returns no Arabic transcript and triggers 0 video charge events and 0 ASR charge events. The default row has no charged field; captions in another language do not trigger speech-to-text or translation.

Input (the default, copy and paste) → output (real result; a 19-second video, finishes in seconds):

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

{
    "success": true,
    "videoId": "jNQXAC9IVRw",
    "title": "Me at the zoo",
    "language": "en",
    "source": "manual_captions",
    "transcript": "All right, so here we are, in front of the elephants the cool thing about these guys is that they have really... really really long trunks and that's cool (baaaaaaaaaaahhh!!) and that's pretty much all there is to say",
    "segments": [{ "start": 1.2, "duration": 2.16, "text": "All right, so here we are, in front of the elephants" }],
    "wordCount": 39,
    "failureReason": null
}

Price: $2 per 1,000 caption transcripts — $0.002 per video whose transcript was returned (FREE/BRONZE rate; no start fee; failed, unavailable and no-caption videos are free). Speech-to-text for videos without captions (Whisper, off by default) is $0.006 per audio minute.

What does YouTube Transcript Scraper do?

• $2 per 1,000 caption transcripts (FREE/BRONZE rate; speech-to-text for videos without captions is billed per audio minute), no start fee; failed and no-caption videos are free.
• No YouTube API key, cookies or login: paste video, channel or playlist links.
• Every failure says why (failureReason), and each result says which language and caption type (source) you got.
• Timestamps on by default (segments), Markdown video notes, RAG chunks that link to the second in the video and a channel digest, all at no extra charge.
• Optional simple output: set compactTranscript: true for videoUrl and caption segments with start, end, text; the default output still uses url and start, duration, text.
• Optional subtitle downloads: set subtitleFormats: ["srt", "vtt"] to add subtitleSrtUrl and subtitleVttUrl to successful rows. Select either format alone if preferred. These files are included at no extra charge.

For a channel's latest uploads: {"channels": ["@mitocw"], "maxVideosPerSource": 10}.

A successful video is one row with fields such as videoId, title, channel, language, source, transcript, segments and wordCount; failed videos come back as free rows with success: false and a failureReason. All fields, speech-to-text, RAG chunks and video notes: Output example.

How to get YouTube transcripts without an API key

1. Paste video links into Video URLs, or @handles and playlist URLs into Channels and playlists.
2. Optional: set Preferred languages (for example en, es).
3. Click Start, or call the Actor from the Apify API with your Apify token: no YouTube API key, cookies or login.
4. Each video with captions comes back with transcript and, unless you turn timestamps off, timestamped segments; export as JSON, CSV or Excel. 100 videos with captions cost $0.20 (100 × $0.002).

Why this one

• $2 per 1,000 transcripts, no start fee. The two most used YouTube transcript Actors charge $5 (starvibe) and $10 (pintostudio) per 1,000 (comparison, checked 3 October 2026). Not the cheapest for captions: a few charge $1 or less.
• Failed videos are free, and each one says why (failureReason), plus which language you got and whether it came from manual captions, auto captions or speech-to-text.
• Videos without captions: optional speech-to-text (Whisper large-v3-turbo) at $0.006 per audio minute, off by default. The five most used transcript Actors have no priced speech-to-text event.
• Notes, RAG chunks and a channel digest included: a Markdown page per video, chunks that link to the second in the video (&t=), and only-new-videos runs for channels, at no extra charge.
• No YouTube API key, no cookies, no login. Public videos only.

How much does it cost?

Event	Price	When
Video transcript	$2.00 / 1,000 ($0.002 each)	a video whose transcript was returned (captions)
Speech-to-text minute	$6.00 / 1,000 minutes ($0.006 per minute)	only when you turn speech-to-text on, per audio minute (rounded up per video) of a transcript returned by speech-to-text, instead of the video charge

No start fee, no proxy costs, no platform usage on top. The price per event depends on your Apify plan tier:

Plan tier	Video transcript	Speech-to-text minute
FREE, BRONZE	$0.002	$0.006
SILVER	$0.0018	$0.0054
GOLD, PLATINUM, DIAMOND	$0.0016	$0.0048

The examples below use the FREE/BRONZE rates.

Examples: 1,000 videos with captions = $2.00. A 20-minute video without captions, transcribed = 20 × $0.006 = $0.12. A 19-second video transcribed with speech-to-text is billed one minute = $0.006.

Control your cost

• Charged: videos whose transcript was returned (success: true), at the event rates above. In rare cases a result can be saved but the charge fail; SUMMARY.savedNotCharged counts those.
• Free: every failure (failureReason set, success: false): no captions (with speech-to-text off), captions only in other languages, no speech (music, ambience), over your speech-to-text limits, private, members-only, age-restricted or removed videos, blocked or busy service, errors.
• Cap it: set your maximum charge per run. The Actor stops cleanly (SUMMARY.status is LIMIT_REACHED) and reserves the money for captions first, then speech-to-text minutes.
• Speech-to-text is off by default, so a normal run can never cost more than $0.002 per video.

Features

Captions are the default (manual first, then auto-generated, in the language you ask for). For videos that have no captions at all you can switch on speech-to-text (Whisper large-v3-turbo, $0.006 per audio minute, off by default).

• Videos, channels and playlists: paste video links, @handles, channel URLs or playlist URLs. Channels give their latest uploads first.
• Clear language results: each item shows the languages you asked for (requestedLanguages), the language returned (language), whether it matched exactly or only the base language (languageMatch, e.g. zh-Hans returned for zh-TW), and where the text came from (source: manual_captions, auto_captions or asr).
• Timestamps: segments (start, duration, text) next to the full text. Styled "karaoke" captions are cleaned (no <font> tags, no repeated lines).
• SRT and WebVTT files: select subtitleFormats to get download links for successful videos. The files use the original segment times even when includeTimestamps: false hides segments from the dataset row. Failed videos have no subtitle files. No extra charge. If optional file storage fails, the transcript row remains available and reports subtitleError.
• Ready-made outputs: Markdown video notes, RAG chunks that link back to the moment in the video (&t=), and a "new videos" digest for scheduled channel runs. No extra charge.
• Failed videos are free, and each one has a failureReason: captions_unavailable, language_mismatch, empty_text, blocked, video_unavailable, age_restricted, service_busy, service_unavailable or error. If the transcript service is temporarily down or times out, every affected video gets a free service_unavailable row (with a retry hint) and the run still ends normally; run it again a few minutes later. Input problems get a free row too (invalid_url, source_unavailable, no_videos_found, max_charge_too_low) and the run still ends normally.
• No YouTube API key, no cookies, no login. Only public videos.

Use cases

• Video notes: turn a talk, lecture or tutorial into a Markdown page for Notion, Obsidian or a doc. Each 3-minute section is headed by a link to that point of the video.
• Channel digest: schedule a channel daily and get only the new uploads, with links and the opening lines of each transcript. A run with nothing new costs nothing.
• RAG and search data: transcripts cut into time windows with a url that opens the video at that second, so an answer can cite "see 3:00". Ready for embeddings.
• Research and content work: quote search, subtitles in several languages, competitor or creator analysis, training data from videos you are allowed to use.

Input

API calls also accept urls, startUrls (strings or {url} objects), videoUrls, videoIds, url and youtubeUrls when videos is empty; bare 11-character video IDs work in those fields too. Use videos or channels as the canonical fields.

Field	What it does
Video URLs	Watch, youtu.be (also with ?t=), Shorts, live-replay or mobile links, attribution_link links, or 11-character video ids. One per line or several in one cell; slightly broken pasted links (/watch/?v=, a trailing space or quote) still work. A channel or playlist link pasted here is expanded like one in the next field
Channels and playlists	@handle, https://www.youtube.com/@handle, /channel/UC... or playlist URLs
Max videos per channel or playlist	Latest N videos from each (default 20)
Max videos in total	Limit for the whole run (default 100, up to 500)
Preferred languages	Caption languages in order of preference (en, es, zh-TW ...)
Include timestamped segments	Adds segments next to the plain text (default on)
Download subtitle files (subtitleFormats)	Choose srt, vtt, or both; default [] keeps the usual output. Successful rows gain subtitleSrtUrl and/or subtitleVttUrl; no extra charge
Transcribe videos without captions	Speech-to-text for videos that have no caption track (default off)
Max minutes per video / per run	Speech-to-text limits (default 30 / 60). Your maximum charge per run also limits them
Add RAG chunks with timestamp links	Adds chunks (about 60 s each by default) with a link to that moment
Add video notes (Markdown)	Adds notesMarkdown: details plus the transcript in 3-minute sections with timestamp links
Only new channel videos	For schedules: skips channel/playlist videos processed in earlier runs (free) and saves a DIGEST page

The default input is one 19-second video: it finishes in seconds and costs $0.002.

How to use it

1. Paste video links (or channels, playlists) into Video URLs / Channels and playlists.
2. Optionally set Preferred languages, turn on Add video notes or Add RAG chunks.
3. Click Start, then export the results as JSON, CSV or Excel, or call the Actor from the API.

Output example

When subtitle files are requested, these optional fields appear on successful rows. Download links appear in the Transcripts (all columns) view and the Dataset JSON; that view also shows a storage warning if one is needed. The example below predates this option and has no subtitle URLs.

Output field	Meaning
subtitleSrtUrl	SRT download link when srt is selected and stored successfully
subtitleVttUrl	WebVTT download link when vtt is selected and stored successfully
subtitleError	Reason a requested file is missing; the transcript row remains available

Real result (3 October 2026) for https://www.youtube.com/watch?v=jNQXAC9IVRw (human captions). The description and keywords fields are left out here.

{
  "success": true,
  "status": "ok",
  "videoId": "jNQXAC9IVRw",
  "url": "https://www.youtube.com/watch?v=jNQXAC9IVRw",
  "title": "Me at the zoo",
  "channel": "jawed",
  "channelId": "UC4QobU6STFB0P71PMvOGN5A",
  "publishDate": "2005-04-23T20:31:52-07:00",
  "durationSec": 19,
  "viewCount": 439408167,
  "requestedLanguages": [],
  "language": "en",
  "languageMatch": null,
  "source": "manual_captions",
  "isGenerated": false,
  "availableLanguages": [{ "code": "en", "name": "English", "generated": false }, { "code": "de", "name": "German", "generated": false }],
  "transcript": "All right, so here we are, in front of the elephants the cool thing about these guys is that they have really... really really long trunks and that's cool (baaaaaaaaaaahhh!!) and that's pretty much all there is to say",
  "segments": [
    { "start": 1.2, "duration": 2.16, "text": "All right, so here we are, in front of the elephants" },
    { "start": 5.318, "duration": 2.656, "text": "the cool thing about these guys is that they have really..." }
  ],
  "wordCount": 39,
  "charCount": 217,
  "failureReason": null
}

Two more real results from the same run: a 3-minute cooking video with auto-generated English captions (source: "auto_captions", 79 segments, 598 words) and a 3-minute French news video with auto-generated French captions (language: "fr", 84 segments, 469 words). Auto-generated captions keep YouTube's own wording and may lack punctuation and have recognition errors.

Speech-to-text (video without captions)

Real result for an 89-second BBC News video with no caption track, with speech-to-text on. It was billed 2 minutes (89 seconds rounded up per video) = $0.012:

{
  "success": true,
  "videoId": "CKRxRE7qRzc",
  "durationSec": 89,
  "language": "en",
  "source": "asr",
  "transcript": "Presidents Trump and Xi are about to meet here in the US. So what's at stake? We're in New York City. And Beijing to break it down. ...",
  "segments": [{ "start": 0, "duration": 3.64, "text": "Presidents Trump and Xi are about to meet here in the US." }],
  "wordCount": 256,
  "asr": { "status": "ok", "model": "large-v3-turbo", "minutes": 2, "audioSeconds": 89.4, "detectedLanguage": "en", "languageProbability": 0.999, "transcribeSeconds": 19 },
  "chargedMinutes": 2,
  "failureReason": null
}

The same video requested with languages: ["zh-TW"] came back as status: "language_mismatch", success: false, transcript: null: the speech was English, so nothing was returned and nothing was charged.

RAG chunks and video notes

With RAG chunks on, each item also has chunks (here with a 60-second target; the 3-minute cooking video gave 4):

"chunks": [{ "chunkIndex": 0, "start": 0, "end": 58.3, "url": "https://www.youtube.com/watch?v=oxbFSZADg-Y&t=0s", "text": "[Music] hello this is Chef John from foodwishes.com with Sherry brazed beef short ribs ..." }]

With video notes on, notesMarkdown looks like this (shortened):

# Me at the zoo

Video: https://www.youtube.com/watch?v=jNQXAC9IVRw
Channel: jawed
Published: 2005-04-23
Length: 0:19
Language: en (captions)

## [0:01](https://www.youtube.com/watch?v=jNQXAC9IVRw&t=1s)

All right, so here we are, in front of the elephants the cool thing about these guys ...

Three ready-to-use recipes

1. Video notes: {"videos": ["<url>"], "notes": true} gives notesMarkdown, a Markdown page with the video details and the transcript in 3-minute sections; each heading links to that point of the video.
2. New-videos digest for a channel: {"channels": ["@mitocw"], "maxVideosPerSource": 10, "onlyNewVideos": true, "monitorName": "mit"} on a daily schedule. The first run takes the latest videos; later runs return only new uploads, and the run's DIGEST record (key-value store) is a Markdown list with links and the opening lines of each transcript. A run with nothing new costs nothing.
3. RAG data with citations: {"videos": [...], "ragChunks": true, "chunkSeconds": 60, "includeTimestamps": false} gives chunks with start, end and a url that opens the video at that moment.

How it compares

Prices of the Apify Store's "YouTube transcript" Actors with the most users, read from the public Store API on 3 October 2026 (FREE-plan price per transcript; per-1,000 in brackets). Most also charge a small start event; we have none. Prices change, so check the listing before you decide.

Actor	Users (30 days)	Price per transcript	Speech-to-text for videos without captions
TidyTools YouTube Transcript Scraper (this Actor)	new	$0.002 ($2)	yes, $0.006 / minute
starvibe/youtube-video-transcript	2,763	$0.005 ($5)	no priced event
pintostudio/youtube-transcript-scraper	2,324	$0.01 ($10)	no priced event
johnvc/YoutubeTranscripts	1,994	listed at about $0.00001	no priced event
supreme_coder/youtube-transcript-scraper	862	$0.001 ($1), $0.0007 on higher plans	no priced event
karamelo/youtube-transcripts	817	$0.007 ($7), $0.005 on higher plans	no priced event
codepoetry/youtube-transcript-ai-scraper	444	$0.001 ($1) + $0.0025 start	yes, $0.012 / minute
apple_yang/youtube-transcripts-scraper	8	$0.001 ($1)	yes, $0.0045 / minute

What this means, honestly: we are not the cheapest for captions. Several Actors charge $0.001 or less per transcript. We compare on what you get for that price: transcripts that tell you which language and source you got, never charge a failed video, include notes, RAG chunks with timestamp links and a channel digest at no extra charge, and offer speech-to-text for videos without captions as an option. The table compares prices and priced events only; we did not run the other Actors, so we make no claim about their reliability or output quality.

Measured results (our own test runs, October 2026)

• Captions: 300 public videos in 10+ languages; every video got a definite answer (222 transcripts, 73 without captions, 5 unavailable), no errors or blocks. Language requests: Spanish and Japanese returned exactly on 4/4 multilingual videos; zh-TW returned zh / zh-Hans tracks (marked languageMatch: "base") because those videos have no Traditional track; 3/3 videos with captions only in other languages were reported as language_mismatch.

• Speech-to-text on 20 videos without captions (11 s to 25 min): 12 transcripts (6 English, 5 Chinese written in Traditional characters, 1 Korean), 7 with no speech (music, intros, ambience: not charged), 1 language mismatch (English speech when Chinese was requested: not charged), 0 errors. 73 audio minutes billed in total.

• Accuracy against human captions (same videos transcribed both ways): English word error rate 2.3%, 3.5% and 4.5% on three 2-5 minute talks (13% on a 19-second clip). Chinese is harder to score: against edited human subtitles of a 17-minute talk the character difference was 41%, partly because subtitles are not word-for-word; names are the most common real errors.

• Speed: about 5x faster than real time when the queue is empty (a 15-minute video in 2.5 minutes). The 89-second sample above took 19 seconds of transcription.

• Re-check on 6 October 2026 (14 mixed inputs, run on the same code path as the service): 8 transcripts (manual and auto captions; English, Korean, Spanish, Traditional Chinese zh-TW exact), 2 language_mismatch (Klingon requested; Japanese requested on a video with English captions only), 1 age-restricted, 1 live stream still on air and 2 unknown video ids (all three video_unavailable). Every failure was a free, labelled row. A /shorts/ID link is read exactly like the normal link of the same video. Channel and playlist expansion (@handle, /channel/, /playlist?list=) returned the latest videos; a channel or playlist that does not exist returned an empty list, now reported as a free row.

Limitations

• Captions are not speech recognition. Manual captions are the creator's; auto-generated captions are YouTube's and can be wrong. Speech-to-text is only used for videos with no caption track at all: a video that has captions, but not in your languages, is language_mismatch and is not sent to speech-to-text.
• Many videos have no captions: in our 300-video sample, 25% of playable videos had none. News channels in Chinese often burn the subtitles into the picture, so there is no caption track: turn on speech-to-text for those.
• Public videos only. The Actor never signs in: members-only, private and age-restricted videos are skipped (free). Live streams that are still running are not transcribed; a finished live stream (replay) is treated like any video.
• No machine translation. Asking for a language the video has no caption track in gives language_mismatch (free) with availableLanguages; pick one of those, or leave the language empty.
• Links that are not videos are skipped, not charged. A link that is neither a video, channel nor playlist (another site, a YouTube home or search page) gets its own free row (failureReason: "invalid_url") and is listed in SUMMARY.notes; if nothing usable is left the run stops at once with one free error row saying what to paste. A channel or playlist that does not exist, is private or has no public videos gives a free source_unavailable or no_videos_found row.
• Running live streams (still on air) come back as video_unavailable (free); try again after the stream has ended.
• Capacity is limited, on purpose. Captions are fetched at about 20 videos per minute and up to 3,000 videos per day across all users. Speech-to-text runs one video at a time at about 5x real time, with a daily budget across all users (600 audio minutes for the speech-to-text of this Actor). When capacity is used up or the service is busy, videos come back as service_busy or blocked (free): run them again later. Very large runs (hundreds of videos) take time: 100 videos is about 5-6 minutes.
• Speech-to-text limits: at most 240 minutes per video, 30 by default; your per-run limit and maximum charge apply.
• YouTube can change. If YouTube blocks our access, results come back as blocked (free) until we fix it.
• No AI summary is included in notes: they are the transcript, organized with links.

Responsible use

Transcripts belong to the video creators. Use them within YouTube's terms and copyright law: for personal notes, research, accessibility, search and analysis, or content you have the right to use. Do not republish other people's transcripts as your own.

Use it from code

curl -X POST "https://api.apify.com/v2/acts/tidytools~youtube-transcript/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"videos":["https://www.youtube.com/watch?v=jNQXAC9IVRw"],"notes":true}'

With AI agents (MCP): connect Apify's MCP server (https://mcp.apify.com?tools=tidytools/youtube-transcript) and ask, for example, "Get the transcript of this YouTube video with timestamps".

FAQ

What happens to a video with no captions? It comes back as a row with success: false and failureReason: "captions_unavailable", and it is not charged. Turn on Transcribe videos without captions (includeAsr) to get a speech-to-text transcript instead, billed per audio minute rather than per video.

Why did a video with captions come back as language_mismatch? It has captions, but not in your languages. availableLanguages lists what exists. Speech-to-text is only used for videos with no caption track at all.

Why did some videos come back as service_busy? Caption capacity is shared by everyone using this Actor (about 3,000 videos per day), and speech-to-text has its own shared daily budget. Videos that arrive when the day's capacity is used up are returned as rows with failureReason: "service_busy" — free — and the run still finishes normally. Run them again a few hours later or the next day.

When am I not charged? Only rows with success: true are charged ($0.002 each on the FREE/BRONZE rate, so 1,000 transcripts cost $2.00). Everything else is a free row that says why in failureReason: no captions (with speech-to-text off), captions only in other languages (language_mismatch), videos with no speech, private, members-only, age-restricted or removed videos, a busy or blocked service, invalid links and empty channels. Input mistakes never fail the run and never cost anything.

Why does my run say PARTIAL_RESULTS? The run ends as PARTIAL_RESULTS when at least one transcript was saved, at least one video failed to process, and the cost limit was not reached. Invalid links are returned as free rows and do not count as failures.

Which languages and auto-generated captions work? Captions come in the languages the video has: set Preferred languages (languages, e.g. ["en","es"]) in order; a manual track wins over an auto-generated one in the same language, and source says manual_captions, auto_captions or asr. There is no fixed language list and no machine translation: if the video has captions only in other languages the row is language_mismatch (free) with availableLanguages. With no languages set you get the video's original language.

How do I run many videos? Put several links in videos, or @handles and playlist URLs in channels. maxVideosPerSource (default 20, up to 500) limits each channel or playlist and maxVideos (default 100, up to 500) limits the whole run. For daily channel runs set onlyNewVideos: true so already processed videos are skipped. Videos over the daily capacity come back as free service_busy rows to run again later.

How is the price calculated? At the FREE/BRONZE rate, $0.002 per video whose captions were returned (FREE/BRONZE), so 1,000 videos = $2.00 and 100 videos = $0.20. Failed and no-caption videos are free. With speech-to-text on, a video transcribed that way costs $0.006 per audio minute (rounded up per video) instead of the video charge. SILVER and GOLD+ tiers pay less per event; see the tier table in How much does it cost?.

Does the Actor collect usage data? The Actor sends one anonymous usage counter per run (input type, item count range, outcome) to improve the tool; no URLs, content or account data.

Which caption is returned when there are several? With languages set: the first language that exists, manual before auto-generated; languageMatch says whether it was an exact or only a base-language match. Without languages: the video's original language (manual if available).

Is speech-to-text accurate? It is Whisper large-v3-turbo (the same open model many transcription tools use). On our English samples the word error rate against human captions was 2-5%; names and rare terms are the usual mistakes. Chinese requested as zh-TW is written in Traditional characters.

Why was a short video charged a full minute? Speech-to-text is billed per started audio minute of the video, and only when text was returned.

Which links work? watch?v=, youtu.be/ID (with or without ?t=), /shorts/, /live/, /embed/, m. and music. links, attribution_link links and bare 11-character ids; channels (@handle, /channel/, /c/, /user/) and playlists (/playlist?list=) are expanded to their latest videos. A watch link that also has &list= is that one video.

What happens with a wrong link, a private video or an empty channel? The run still ends normally (it never fails because of your input). Each problem is one free row with a failureReason and an error that says what to do: invalid_url (not a YouTube link), video_unavailable (private, removed, members-only, or a live stream still on air), source_unavailable / no_videos_found (channel or playlist missing, private or empty). Only rows with success: true are charged.

Does it work for YouTube Shorts and live replays? Yes: /shorts/ID and /live/ID links are read like normal videos (a finished live stream is a normal video). A stream that is still live is video_unavailable until it ends.

Do I need a YouTube API key or an account? No.

What are the limits? Up to 500 videos per run (Max videos in total, default 100) and up to 500 per channel or playlist (default 20). Speech-to-text: up to 240 minutes per video (default 30) and 3,000 per run (default 60). Capacity is shared by all users (about 3,000 caption videos a day); videos over it come back as free service_busy rows to run again later. See Limitations.

How fast is it? In our test runs captions came at about 20 videos per minute (100 videos in about 5-6 minutes), and speech-to-text ran at about 5x real time (a 15-minute video in 2.5 minutes). See Measured results.

Is it legal to scrape YouTube transcripts? The Actor reads only the captions of public videos, without signing in, cookies or an API key; it skips private, members-only and age-restricted videos. Transcripts belong to the creators, so use them within YouTube's terms and copyright law (Responsible use). This is not legal advice.

Does it work with the API, webhooks, Make, n8n or Zapier? Yes. One HTTP request returns the transcripts (example); runs can also be started from a schedule, a webhook, the Apify apps for Make, n8n and Zapier, and from AI agents through MCP.

Support

Open an issue in the Issues tab with the video URL and the failureReason. Issues are checked regularly.