YouTube Transcript Extractor: Batch, Timestamps, RAG Chunks avatar

YouTube Transcript Extractor: Batch, Timestamps, RAG Chunks

Pricing

$4.00 / 1,000 transcript extracteds

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YouTube Transcript Extractor: Batch, Timestamps, RAG Chunks

YouTube Transcript Extractor: Batch, Timestamps, RAG Chunks

Batch YouTube transcripts from video or playlist URLs: clean text, timestamped segments and RAG-ready chunks with deep links. No API key.

Pricing

$4.00 / 1,000 transcript extracteds

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Developer

Quiet Hand

Quiet Hand

Maintained by Community

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an hour ago

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YouTube Transcript Extractor: batch, timestamps, RAG-ready chunks

Get the transcript of any YouTube video that has captions. Paste video URLs, IDs or a playlist link and receive clean text, optional timestamped segments, and optional chunks sized for vector databases (each chunk carries its start time and a deep link).

Why use it

  • Batch: hundreds of videos in one run, plus playlists (first 100 videos).
  • RAG-ready: set chunkChars (for example 1000) and get sentence-aligned chunks with startSeconds and a &t= link for citations.
  • Language control: asks for your language first, falls back to auto-generated or any available track.
  • No API key, no cookies, no login.
  • You pay only for transcripts delivered: videos without captions are reported in the ERRORS key-value record and are not charged.

Input

FieldMeaning
videosVideo URLs, 11-character IDs, youtu.be/shorts links, or playlist URLs
languagePreferred language code, default en
includeSegmentsAdd segments with start and duration
chunkChars0 = off; otherwise approximate chunk size in characters

Output example

{ "videoId": "dQw4w9WgXcQ", "title": "...", "channel": "...", "language": "en", "autoGenerated": false,
"text": "We're no strangers to love ...", "wordCount": 340,
"chunks": [{ "index": 0, "startSeconds": 18.6, "link": "https://www.youtube.com/watch?v=dQw4w9WgXcQ&t=18s", "text": "..." }] }

Use cases

LLM and RAG pipelines, video summarization, content repurposing, research datasets, SEO and keyword analysis of video content.

Only public videos with available captions are supported. Respect YouTube's terms and creators' rights when using extracted text.