X Video Subtitle & Caption Transcript Converter

What it returns

29 fields from the published dataset schema. Export as JSON, CSV or Excel, or read the dataset through the Apify API.

• type
• tweetUrl
• tweetId
• videoIndex
• videoSource
• authorUsername
• authorName
• language
• captionSource
• captionLanguage
• metadataSource
• mediaSource
• transcriptionMethod
• transcriptAvailable
• transcriptTweetId
• quotedTweetId
• retweetedTweetId
• wordCount
• mediaDurationSeconds
• fullTranscript
• modelUsed
• errorCode
• message
• publishedAt
• collectedAt
• index
• start
• end
• text

Not in the schema among the core X (Twitter) fields: post_id, posted_at, likes, reposts. The field matrix shows which other tools return them.

How it differs from the other X (Twitter) Actors

Among the 12 catalogue Actors for X (Twitter) with a published schema, only this one returns videoIndex, transcriptionMethod, transcriptAvailable, wordCount, fullTranscript, modelUsed, publishedAt, start.

Pick another Actor if you need

Input

Example input

Built from the input form's published example values and defaults.

{
  "postUrls": [
    "https://x.com/firesidealpha/status/2118737977824395524"
  ],
  "profileUrls": [],
  "maxVideosPerProfile": 10,
  "maxDurationSeconds": 1200,
  "maxDownloadMb": 200,
  "transcriptionMethod": "captions",
  "whisperModel": "base",
  "outputFormat": "segments",
  "includeTweetMetadata": true,
  "includeQuotedVideo": true,
  "segmentGranularity": "segment",
  "includeWordTimestamps": false,
  "enableYtdlpFallback": false
}

Run it from code or an AI agent

The same run through the Apify API, with the example input. You need an Apify API token; the run is billed to your account at the Store price.

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
    "postUrls": [
        "https://x.com/firesidealpha/status/2118737977824395524"
    ],
    "profileUrls": [],
    "maxVideosPerProfile": 10,
    "maxDurationSeconds": 1200,
    "maxDownloadMb": 200,
    "transcriptionMethod": "captions",
    "whisperModel": "base",
    "outputFormat": "segments",
    "includeTweetMetadata": True,
    "includeQuotedVideo": True,
    "segmentGranularity": "segment",
    "includeWordTimestamps": False,
    "enableYtdlpFallback": False
}

run = client.actor("nimbryxo-studio/x-video-subtitle-and-caption-transcript-converter").call(run_input=run_input)
if run is None:
    raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
    "postUrls": [
        "https://x.com/firesidealpha/status/2118737977824395524"
    ],
    "profileUrls": [],
    "maxVideosPerProfile": 10,
    "maxDurationSeconds": 1200,
    "maxDownloadMb": 200,
    "transcriptionMethod": "captions",
    "whisperModel": "base",
    "outputFormat": "segments",
    "includeTweetMetadata": true,
    "includeQuotedVideo": true,
    "segmentGranularity": "segment",
    "includeWordTimestamps": false,
    "enableYtdlpFallback": false
};

const run = await client.actor("nimbryxo-studio/x-video-subtitle-and-caption-transcript-converter").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

curl -X POST "https://api.apify.com/v2/actors/nimbryxo-studio~x-video-subtitle-and-caption-transcript-converter/run-sync-get-dataset-items"   -H "Authorization: Bearer $APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{"postUrls":["https://x.com/firesidealpha/status/2118737977824395524"],"profileUrls":[],"maxVideosPerProfile":10,"maxDurationSeconds":1200,"maxDownloadMb":200,"transcriptionMethod":"captions","whisperModel":"base","outputFormat":"segments","includeTweetMetadata":true,"includeQuotedVideo":true,"segmentGranularity":"segment","includeWordTimestamps":false,"enableYtdlpFallback":false}'

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=nimbryxo-studio/x-video-subtitle-and-caption-transcript-converter",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}

What a run costs

The result rate falls on higher Apify plans. Each figure is the published per-result rate times the number of results.

• Every run also has a start event, charged per GB of memory (minimum one): $0.10 on Free, $0.03 on Business. At its default memory of 4 GB a run starts at $0.40 on Free. Fewer, larger runs keep this small.
• The Free plan includes $5 of monthly usage (Apify pricing, checked 2026-11-11); at the Free rate that covers at most about 5,050 results, less start events and platform usage.
• Worked example: 10,000 results in one run on the Free plan cost $10.30 ($9.90 for results + $0.40 start), plus Apify platform usage (compute), billed separately by Apify.
• Pay per event. Platform usage (compute) is billed by Apify on top of the event prices. Compare other tools in the cost estimator.

Where it fits among X (Twitter) routes

It ranks 4 of 12 catalogue Actors for X (Twitter) on the published formula (fields, price, reliability, freshness). Its line is highlighted on the map.

What people use it for

• Transcribe public videos
• Extract native captions
• Export subtitle files

Other catalogue Actors for X (Twitter)

Similar Actors

Questions people ask

Sources

• X Video Subtitle & Caption Transcript Converter on Apify Store
• Published build with input and output schema (JSON)
• X API v2 documentation