One tool for videos from social platforms and plain video files: paste links, get the spoken text with timestamps.
speakerLabels: true for interviews and panels.from apify_client import ApifyClient # pip install apify-client
client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("fguiraud/video-to-text-transcriber").call(run_input={
"sources": [
{
"url": "https://www.tiktok.com/@tiktok/video/7689568478570843422"
}
],
"outputs": [
"text",
"segments"
]
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item["source"], item.get("text", "")[:200])
No Python? Open the Actor page, paste your input in the form and press Start; results export to JSON, CSV or Excel.
Fields from a real run on 2026-09-30 (long values shortened):
{
"source": "https://www.tiktok.com/@tiktok/video/7689568478570843422",
"status": "ok",
"language": "en",
"durationSeconds": 52.72,
"billedMinutes": 1,
"text": "You three look so good. I'm getting serious 2000 flashbacks. Thanks. I have this disposable camera. If I were to give it to you, would you be able to show me with that 2000's revival kind of looks like? Sure, why not? Ye...",
"video": {
"platform": "tiktok",
"url": "https://www.tiktok.com/@tiktok/video/7689568478570843422",
"title": "the throwback sounds we didn’t know we were missing, given new life o...",
"author": "tiktok",
"uploadDate": "2026-09-25",
"views": 327000,
"likes": 4477,
"comments": 1576
}
}
$0.006 per minute; speaker labels add $0.003 per minute.
YouTube links?
Use the YouTube transcript tool: it reads captions first and is cheaper.
Can an AI agent use it?
Yes. It is an MCP server at https://mcp.apify.com/?tools=fguiraud/video-to-text-transcriber (listed in the official MCP registry), and there is an agent skill for Claude Code, Codex and Cursor. Field-name guesses such as url or urls are accepted.