Operated by Sourcelane✓ verified
Turn any X (Twitter) video into text with timestamps. Paste post links and get the full transcript, language and post details for each video in bulk.
A speech-to-text connector that extracts spoken content and metadata from X (Twitter) video posts: it downloads video audio, performs automatic transcription with language detection, segments the transcript into timestamped sentence-level intervals for subtitles or clipping, and returns post metadata and engagement metrics alongside video duration and thumbnail. Designed for batch processing of video posts (including quoted videos), it handles clips, interviews, podcasts and long recordings (up to 60 minutes) without requiring an X login or API key.
Verified Oct 25, 10:11 PM
$0.005
per video transcript
Up to 100 per call. Only pay for results returned; failed calls are refunded.
Media monitoring
Capture exact words from news clips, press conferences and political speeches posted on X
Content repurposing
Convert video posts into threads, articles, newsletters and show notes
Research and fact-checking
Quote spoken content with timestamps for verification
AI and LLM workflows
Feed clean transcripts into language models for summaries, sentiment and insights
Podcast and interview clips
Search, index and archive guest remarks
Subtitles and accessibility
Export timestamped sentence segments for captions and accessibility workflows
Links to X or Twitter posts that contain a video, or post IDs, one per line.
Optional settings
| Window | Uptime | Success rate | p50 | p95 | Calls |
|---|---|---|---|---|---|
| 24h | — | — | — | — | 0 |
| 7d | — | — | — | — | 0 |
| 30d | — | — | — | — | 0 |
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":"x-video-transcript-scraper","params":{"tweetUrls":["https://x.com/TheoVon/status/1916982720317821050"]},"maxResults":10}'Request params
| Field | Type | Required | Description |
|---|---|---|---|
tweetUrls | array | required | Links to X or Twitter posts that contain a video (or quote a post with a video), or post IDs, one per line (up to 500 per run). |
language | string | optional | Two-letter language code (e.g. en, es, de) if you know the language spoken in the videos. Leave empty to detect it automatically. |
includeTimestamps | boolean | optional | Add a segments list with start and end times (in seconds) for every sentence. |
Each result contains
| Field | Type | Description |
|---|---|---|
inputUrl | string | — |
status | string | Status |
message | null | — |
tweetId | string | — |
tweetUrl | string | Post |
videoFromQuotedTweet | boolean | — |
author | string | Author |
authorName | string | — |
tweetText | string | — |
createdAt | string | — |
durationSeconds | number | Seconds |
views | integer | Views |
likes | integer | — |
retweets | integer | — |
replies | integer | — |
thumbnailUrl | string | — |
language | string | Language |
transcript | string | Transcript |
wordCount | integer | Words |
segments | array | — |
scrapedAt | string | — |
Pick your tool and connect in under a minute. Then just ask — for example: “Find the 50 most-liked tweets about 'MCP servers' this month and summarise the takes.”
Connect Claude
Web, desktop and mobile. One click, then confirm.
Adds the Sourcelane MCP server with your key as a header.
claude mcp add --transport http sourcelane https://api.usesourcelane.com/mcp \
--header "Authorization: Bearer sl_live_your_agent_key"Alternative to the connector URL: add to claude_desktop_config.json, then restart Claude.
{
"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"
}
}
}
}Add to ~/.cursor/mcp.json (or Windsurf's mcp_config.json).
{
"mcpServers": {
"sourcelane": {
"url": "https://api.usesourcelane.com/mcp",
"headers": {
"Authorization": "Bearer sl_live_your_agent_key"
}
}
}
}Save as .vscode/mcp.json. VS Code prompts for your key once.
{
"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
}
]
}Create a GPT → Actions → Import from URL, then Authentication: API Key, Bearer.
https://usesourcelane.com/openapi.jsonOne POST. Pass maxResults to cap cost.
curl -X POST https://api.usesourcelane.com/v1/call \
-H "Authorization: Bearer sl_live_your_agent_key" \
-H "Content-Type: application/json" \
-d '{"listing":"x-video-transcript-scraper","params":{"tweetUrls":["https://x.com/TheoVon/status/1916982720317821050"]},"maxResults":10}'Wrap the REST call as a tool, or point an MCP client at the endpoint.
import requests
res = requests.post(
"https://api.usesourcelane.com/v1/call",
headers={"Authorization": "Bearer sl_live_your_agent_key"},
json={
"listing": "x-video-transcript-scraper",
"params": {"tweetUrls":["https://x.com/TheoVon/status/1916982720317821050"]},
"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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