Pricing

from $50.00 / 1,000 video timestampeds

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YouTube Video Timestamper | Chapters & Summaries (Gemini)

Try for free

Turn any YouTube video into timestamped, titled chapter blocks with clickable URLs using your own Gemini API key. Any language. $0.05/video + $0.02 start.

Pricing

from $50.00 / 1,000 video timestampeds

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Developer

Andok

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Monthly active users

4 days ago

Last modified

YouTube Video Timestamper

Summarize any YouTube video into timestamped, titled blocks using Google Gemini AI. Each block contains a timestamp range, a descriptive title, a summary paragraph, and a clickable YouTube URL that jumps to that exact moment. Output in any language.

Features

Timestamped summaries — breaks videos into logical sections with start/end timestamps
Titled blocks — each section gets a one-sentence descriptive title
Clickable URLs — every block includes a YouTube link with the exact timestamp
Multi-language — output in any language (English, Estonian, German, Spanish, etc.)
Configurable model — use any Gemini model (default: gemini-3.1-flash-lite-preview)
Few-shot prompting — uses multi-turn examples for consistent, high-quality output

Input

Field	Type	Required	Default	Description
`videoUrl`	`string`	Yes	—	YouTube video URL to summarize
`geminiApiKey`	`string`	Yes	—	Google Gemini API key (get one free)
`language`	`string`	No	`English`	Output language
`model`	`string`	No	`gemini-3.1-flash-lite-preview`	Gemini model ID

Input Example

{
  "videoUrl": "https://www.youtube.com/watch?v=EKG9kX86u0s",
  "geminiApiKey": "YOUR_API_KEY",
  "language": "Estonian",
  "model": "gemini-3.1-flash-lite-preview"
}

Output

Each run produces a single dataset item with:

videoUrl (string) — normalized YouTube URL
summary (string) — the full timestamped summary
language (string) — language used
modelUsed (string) — Gemini model used
tokensUsed (integer) — total tokens consumed
error (string) — error message if failed
processedAt (string) — ISO timestamp

Output Example

0:00 – 0:22 **Google Workspace CLI tutvustus**
Google Workspace on muutnud oma töökeskkonna AI-agentidele kättesaadavamaks, tuues turule uue Rust-põhise CLI-tööriista.
https://youtu.be/EKG9kX86u0s?t=0

0:22 – 0:37 **Tuleviku väljavaated MCP jaoks**
Google'i kui suurettevõtte sisenemine CLI-tööriistade arendusse tekitab küsimusi selle tehnoloogia tuleviku kohta.
https://youtu.be/EKG9kX86u0s?t=22

Use Cases

Content creators — generate chapter markers and descriptions for YouTube videos
Researchers — quickly scan long videos for relevant sections
Translators — get video summaries in any language without watching
Note-takers — create structured notes from educational videos
SEO — generate timestamped descriptions for video content

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