Sourcelane

YouTube Video Summarizer

YouTube

Operated by Sourcelane✓ verified

Turn any YouTube video into a written summary, key takeaways, timestamped chapters, key quotes and an optional blog post draft from its transcript - no watching required.

Read full description

A YouTube-focused video summarization connector that ingests video transcripts (manual or auto-generated) and uses transcript parsing plus large language model summarization to produce structured textual artifacts and metadata: concise-to-long summaries written with specific details (names, numbers, tools, conclusions), 5–8 actionable key takeaways, topic tags, timestamped chapter markers with one-line section summaries that can follow or correct creator chapter breaks, verbatim timestamped quotes, optional long-form blog post drafts, and optional plain-text transcripts; the connector also extracts video metadata such as identifiers, title, channel info, upload date, duration and view counts, supports multilingual output/translation of summaries and non-English transcripts, and is designed to handle long recordings (podcasts, lectures, tutorials) by processing large transcripts and generating per-video structured outputs using an LLM-based pipeline.

Verified Sep 28, 3:56 AM

$0.06

per video

Up to 16 per call. Only pay for results returned; failed calls are refunded.

What people use it for

You give it

  • Video URLsrequired

    YouTube video URLs or IDs, one per line.

  • Output language

    Language to write the summary in, e.g.

Optional settings

Summary lengthGenerate chaptersExtract key quotesWrite a blog post draftInclude full transcriptTranscript languagesModel

You get back

Text & content
TitleChannel titleTranscript languageTranscript is auto generatedTranscript truncatedTranscriptSummaryTopics
Numbers & stats
Duration secondsView countTranscript word count
Links & media
Input URLVideo IDURL
Other details
Channel IDUpload dateKey takeawaysChaptersKey quotesBlog postModelPrompt tokens+2 more

Trust & reliability

7d uptime trend
WindowUptimeSuccess ratep50p95Calls
24h————0
7d————0
30d————0

Calling contract

Call it through Sourcelane's gateway or MCP server. We run the connector, apply your agent's spend guardrails, and bill only the results returned.

Call it via Sourcelane

curl -X POST https://api.usesourcelane.com/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"youtube-video-summarizer","params":{"videoUrls":["https://www.youtube.com/watch?v=8jPQjjsBbIc"]},"maxResults":10}'

Request params

FieldTypeRequiredDescription
videoUrlsarrayrequiredYouTube video URLs or IDs, one per line. Up to 50 per run.
summaryLengthstringoptionalHow detailed the main summary should be. Key takeaways, chapters and quotes are produced regardless.
includeChaptersbooleanoptionalProduce timestamped chapters with a title and one-line summary each, ready to paste into a video description.
includeKeyQuotesbooleanoptionalPull 3-6 verbatim, timestamped quotes worth sharing or citing.
includeBlogPostbooleanoptionalAlso generate a 600-1000 word Markdown blog post based on the video. Slower and uses more model output.
includeTranscriptbooleanoptionalAdd the plain-text transcript to each record.
outputLanguagestringoptionalLanguage to write the summary in, e.g. English, Spanish, German. Leave empty to match the transcript language.
languagesarrayoptionalCaption languages to try, in order of preference (e.g. en, es, de). Manual captions are preferred over auto-generated ones.
modelstringoptionalLanguage model used to write the summary.

Each result contains

FieldTypeDescription
inputUrlstringInput Url
videoIdstringVideo Id
urlstringUrl
titlestringTitle
channelTitlestringChannel Title
channelIdstringChannel Id
uploadDatestringUpload Date
durationSecondsintegerDuration Seconds
viewCountintegerView Count
transcriptLanguagestringTranscript Language
transcriptIsAutoGeneratedbooleanTranscript Is Auto Generated
transcriptWordCountintegerTranscript Word Count
transcriptTruncatedboolean—
transcriptnull—
summarystring—
keyTakeawaysarray—
topicsarray—
chaptersarray—
keyQuotesarray—
blogPostnull—
modelstring—
promptTokensinteger—
completionTokensinteger—
proxyUsedstring—
statusstring—
errornull—

Use YouTube Video Summarizer from Claude, ChatGPT or Cursor

Pick your tool and connect in under a minute. Then just ask — for example: “Get the transcript of this video and turn it into a blog outline: <url>”

Connect Claude

Web, desktop and mobile. One click, then confirm.

  1. 1Click Add to Claude — claude.ai opens with Sourcelane filled in
  2. 2Click Continue to confirm — it then works in Claude desktop and mobile too
Manual setup (config files, REST, Python) +

Claude Code

Adds the Sourcelane MCP server with your key as a header.

terminal
claude mcp add --transport http sourcelane https://api.usesourcelane.com/mcp \
  --header "Authorization: Bearer sl_live_your_agent_key"

Claude Desktop (config file)

Alternative to the connector URL: add to claude_desktop_config.json, then restart Claude.

claude_desktop_config.json
{
  "mcpServers": {
    "sourcelane": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://api.usesourcelane.com/mcp",
        "--header",
        "Authorization:${AUTH_HEADER}"
      ],
      "env": {
        "AUTH_HEADER": "Bearer sl_live_your_agent_key"
      }
    }
  }
}

Cursor & Windsurf

Add to ~/.cursor/mcp.json (or Windsurf's mcp_config.json).

mcp.json
{
  "mcpServers": {
    "sourcelane": {
      "url": "https://api.usesourcelane.com/mcp",
      "headers": {
        "Authorization": "Bearer sl_live_your_agent_key"
      }
    }
  }
}

VS Code

Save as .vscode/mcp.json. VS Code prompts for your key once.

.vscode/mcp.json
{
  "servers": {
    "sourcelane": {
      "type": "http",
      "url": "https://api.usesourcelane.com/mcp",
      "headers": {
        "Authorization": "Bearer ${input:sourcelane-key}"
      }
    }
  },
  "inputs": [
    {
      "type": "promptString",
      "id": "sourcelane-key",
      "description": "Sourcelane agent key",
      "password": true
    }
  ]
}

ChatGPT Custom GPT (Actions)

Create a GPT → Actions → Import from URL, then Authentication: API Key, Bearer.

OpenAPI schema URL
https://usesourcelane.com/openapi.json

REST

One POST. Pass maxResults to cap cost.

curl
curl -X POST https://api.usesourcelane.com/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"youtube-video-summarizer","params":{"videoUrls":["https://www.youtube.com/watch?v=8jPQjjsBbIc"]},"maxResults":10}'

Python, LangChain, CrewAI, OpenAI Agents SDK…

Wrap the REST call as a tool, or point an MCP client at the endpoint.

python
import requests

res = requests.post(
    "https://api.usesourcelane.com/v1/call",
    headers={"Authorization": "Bearer sl_live_your_agent_key"},
    json={
        "listing": "youtube-video-summarizer",
        "params": {"videoUrls":["https://www.youtube.com/watch?v=8jPQjjsBbIc"]},
        "maxResults": 10,
    },
    timeout=300,
)
body = res.json()
print(body["receipt"]["chargedMicros"], "micro-USD for", body["receipt"]["results"], "results")
print(body["data"])

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