Video Transcriber

AI & Media Processing

Operated by Sourcelane✓ verified

A URL-driven transcription connector that converts speech from videos and audio files into timestamped text and metadata for search, indexing, captioning, and downstream NLP. It accepts links from 1000+ sources (examples: YouTube, Facebook, Vimeo, Rumble, Twitch VODs and clips, Dailymotion, SoundCloud, podcast feeds, direct MP4/MP3/M4A links), performs automatic language detection with optional language hints, extracts full spoken-text transcripts and segmented subtitle-style timestamps (MM:SS / H:MM:SS), and returns video metadata such as title, uploader/channel, source site, duration and an internal video identifier. Technical capabilities include handling long-form media up to three hours, detecting presence of speech, retrying blocked downloads via alternate tunnels and proxy routing, and producing structured text segments suitable for subtitle generation, quoting, chaptering, semantic search, and LLM pipelines.

Verified Sep 28, 3:55 AM

$0.02

per video transcript

Up to 50 per call. Only pay for results returned; failed calls are refunded.

What people use it for

AI & LLM pipelines: convert spoken content into text for retrieval-augmented generation (RAG), summarization, and agent inputs
Content repurposing: turn webinars, podcasts, and videos into blog posts, newsletters, and written content
Research & journalism: quote, search, and reference long interviews without manual scrubbing through video
Meeting & lecture notes: transcribe recorded sessions hosted anywhere for note-taking and archiving
Subtitles & accessibility: generate caption text and timestamped segments for videos that lack captions

Trust & reliability

7d uptime trend

Window	Uptime	Success rate	p50	p95
24h	—	—	—	—
7d	—	—	—	—
30d	—	—	—	—

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":"universal-video-transcriber","params":{"videoUrls":["https://www.youtube.com/watch?v=jNQXAC9IVRw"]},"maxResults":10}'

Request params

Field	Type	Required	Description
`videoUrls`	array	required	Video or audio URLs to transcribe - YouTube, Facebook, Vimeo, Rumble, Twitch VODs, SoundCloud, podcast episodes, direct MP4/MP3 links, and 1000+ other sites. Maximum 25 URLs per run; videos up to 3 hours.
`language`	string	optional	Optional ISO 639-1 language hint (e.g. 'en', 'es', 'de'). Leave as 'auto' to detect the language automatically.
`includeSegments`	boolean	optional	When enabled, each transcript also includes an array of timestamped segments alongside the full transcript string.

Each result contains

Field	Type	Description
`inputUrl`	string	Input Url
`videoId`	string	Video Id
`title`	string	Title
`uploader`	string	Uploader
`sourceSite`	string	Source Site
`durationSeconds`	integer	Duration Seconds
`language`	string	Language
`transcript`	string	Transcript
`segments`	array	—
`speechDetected`	boolean	—

Use Video Transcriber from Claude, ChatGPT or Cursor

Pick your tool and connect in under a minute. Then just ask — for example: “Transcribe this video and give me timestamps for every product mention: <url>”

Connect Claude

Web, desktop and mobile. Paste one URL.

1Copy your personal connector URL
2In Claude open Settings → Connectors → Add custom connector
3Paste the URL and click Add — done

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":"universal-video-transcriber","params":{"videoUrls":["https://www.youtube.com/watch?v=jNQXAC9IVRw"]},"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": "universal-video-transcriber",
        "params": {"videoUrls":["https://www.youtube.com/watch?v=jNQXAC9IVRw"]},
        "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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