# Twitch VOD Transcript API – AI Video to Text (`stackrelay/twitch-vod-transcript`) Actor

Get transcripts and subtitles (SRT) from Twitch VODs and clips with AI speech-to-text. Timestamped segments + game and streamer metadata. No API key needed.

- **URL**: https://apify.com/stackrelay/twitch-vod-transcript.md
- **Developed by:** [StackRelay](https://apify.com/stackrelay) (community)
- **Categories:** Videos, AI, Social media
- **Stats:** 15 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.80 / 1,000 transcription minutes

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Twitch VOD Transcript API – AI Video to Text

Turn any Twitch VOD or clip into text: full AI transcripts, timestamped segments, and SRT subtitles via Whisper large-v3. Built for content repurposers, SEO agencies, AI/RAG pipelines, and researchers who need spoken-word text from Twitch streams.

Paste one or more VOD/clip URLs, get back timestamped transcripts with game and streamer metadata — no Twitch API key, no audio handling, no GPU.

### Why a dedicated Twitch transcript actor?

Generic "1000+ platform" video transcribers treat Twitch as an afterthought — and charge $1.25–$4.50 per video. This actor is built only for Twitch, which buys you things generalists can't do:

- **Twitch-native metadata** on every record: game/category, streamer, stream date, thumbnail
- **VOD-absolute timestamps** — segments align to the VOD timeline, so they work directly in clip tools and `?t=` deep links
- **Section windows** (`startMinute`/`endMinute`) — transcribe the 13 minutes you need from an 8-hour stream and pay cents, not a flat per-video fee
- **Per-minute pricing** — a 10-minute clip costs ~$0.05 and a 3-hour VOD ~$0.73, vs. $1.25–$7.50 flat on multi-platform actors

### What it does / doesn't do

- ✅ Public VODs and clips, batches of URLs in one run
- ✅ Transcribe just a section (`startMinute`/`endMinute`) — pay only for the window
- ✅ 90+ languages, auto-detected
- ⛔ Sub-only VODs (requires auth we don't support)
- ⛔ Live streams (VODs/clips only)
- ⛔ Speaker labels — Whisper doesn't diarize; multi-speaker streams come back as one voice

> **Memory:** run this actor with **at least 2 GB (2048 MB)** of memory — the default. Audio extraction uses ffmpeg, which is killed by the OS at lower memory and fails the run. The run form already defaults to 2 GB; don't lower it.

### How to get a Twitch VOD transcript

```json
{
    "videoUrls": [
        "https://www.twitch.tv/videos/2788523979",
        "https://www.twitch.tv/tarik/clip/DeafObliviousGazelle..."
    ],
    "startMinute": 0,
    "maxDurationMinutes": 240,
    "language": "auto"
}
```

| Field | Required | Default | Notes |
|---|---|---|---|
| `videoUrls` | yes | — | One or more VOD (`/videos/<id>`) or clip URLs. One record each; failures are skipped without stopping the batch |
| `startMinute` | no | 0 | Begin transcription here. Timestamps stay absolute to the VOD |
| `endMinute` | no | end of video | Stop here. Combine with `startMinute` to transcribe only the section you need |
| `maxDurationMinutes` | no | 240 | Safety cap per video. **If a video exceeds it, you get a partial transcript marked `truncated: true`** and a log warning. Raise to 600 for very long streams |
| `language` | no | `auto` | ISO 639-1 hint (`en`, `es`, `tr`, ...). Leave on auto unless certain |
| `proxyConfiguration` | no | datacenter | Apify Proxy settings |

### Twitch video to text — the output

One dataset record per video:

```json
{
    "id": "twitch_vod_2788523979",
    "source_url": "https://www.twitch.tv/videos/2788523979",
    "platform": "twitch",
    "type": "vod",
    "title": "Casey Muratori Teaches Me Game Programming",
    "streamer": "ThePrimeagen",
    "game": "Software and Game Development",
    "published_at": "2026-06-04T17:01:12+00:00",
    "thumbnail": "https://static-cdn.jtvnw.net/cf_vods/...",
    "duration_seconds": 8390,
    "window_start_seconds": 1800,
    "window_end_seconds": 1920,
    "transcribed_seconds": 120.0,
    "truncated": false,
    "language": "en",
    "transcript_text": "Full plain text transcript...",
    "segments": [
        { "start": 1800.0, "end": 1804.2, "text": "And so then I had an AI summarize what the Lua code did." }
    ],
    "scraped_at": "2026-06-07T12:00:00Z"
}
```

`segments` timestamps are **absolute to the VOD timeline** (not the window), so they're valid for clipping and deep links (`?t=1h30m0s`). `language` is ISO 639-1. `id` is stable per video for deduplication across runs.

### Pricing & billing transparency

Pay-per-event:

| Event | Price | Covers |
|---|---|---|
| `result` | $0.005 | Per successfully processed video — metadata + audio extraction |
| `transcription_minute` | $0.004/min ($0.005 on the free plan) | AI speech-to-text per transcribed minute (sub-minute rounds up) |

Examples (paid plans): a 10-minute clip costs **$0.045**; a 3-hour VOD costs **$0.725**; a 13-minute window of that VOD costs **$0.057**.

**If a video fails, you are charged nothing for it.** Charges fire only after a transcript record is pushed to the dataset — you pay for minutes actually transcribed, never for failed extraction.

### How long does a run take?

Transcription runs ~60x real-time. Rule of thumb end to end: a 10-minute clip ≈ 30s; a 3-hour VOD ≈ 3–5 minutes.

### Twitch subtitles: convert segments to SRT captions

```python
def to_srt(segments):
    def ts(s):
        h, rem = divmod(s, 3600); m, sec = divmod(rem, 60)
        return f"{int(h):02}:{int(m):02}:{int(sec):02},{int(sec % 1 * 1000):03}"
    return "\n".join(
        f"{i}\n{ts(seg['start'])} --> {ts(seg['end'])}\n{seg['text']}\n"
        for i, seg in enumerate(segments, 1)
    )
```

(Subtract `window_start_seconds` from each timestamp first if you want subtitles relative to your extracted section.)

### FAQ

**How do I download a transcript of a Twitch VOD?** Paste the VOD URL (`https://www.twitch.tv/videos/<id>`) into `videoUrls` and run the actor. The transcript lands in the dataset as plain text plus timestamped segments, exportable as JSON or CSV — or convert to SRT subtitles with the recipe above.

**Can I transcribe a Twitch clip to text?** Yes — clip URLs work the same way and cost ~$0.05 for a typical clip.

**Does it work on live streams?** No — VODs and clips only.

**Does it work on sub-only VODs?** No, public VODs only.

**How accurate is it?** Whisper large-v3; strong on commentary, may degrade with loud in-game music. Timestamped segments make spot-checking easy.

**What languages?** 90+, auto-detected. Set the `language` hint only when you're sure.

**What happens to videos that fail in a batch?** They're skipped, logged, and not charged; the rest of the batch continues. The run only fails if every video fails.

# Actor input Schema

## `videoUrls` (type: `array`):

One or more Twitch VOD (https://www.twitch.tv/videos/123456789) or clip URLs. Each video produces one dataset record; a failed video is skipped (and not charged) without stopping the rest.

## `startMinute` (type: `integer`):

Begin transcription at this minute of the video. Segment timestamps remain absolute to the VOD, so they stay valid for clipping. Default 0 (start of video).

## `endMinute` (type: `integer`):

Stop transcription at this minute. Leave empty to transcribe to the end of the video (subject to the max-minutes cap). Use with 'Start at minute' to transcribe just the section you need — you are only billed for minutes inside the window.

## `maxDurationMinutes` (type: `integer`):

Cost-protection cap per video. If a video (or your start/end window) is longer than this, transcription stops at the cap, the record is marked truncated: true, and a warning is logged. Default 60 keeps casual runs fast and cheap — raise it for long VODs (600 covers a 10-hour stream), and raise the run timeout accordingly.

## `language` (type: `string`):

Language hint for the speech-to-text model as a two-letter ISO 639-1 code (en, es, pt, de, ja, ko, tr, ...). All 90+ Whisper languages are accepted. Leave on 'auto' unless you are certain — a wrong hint degrades accuracy.

## `proxyConfiguration` (type: `object`):

Datacenter proxy is sufficient — Twitch VODs are not heavily gated.

## Actor input object example

```json
{
  "videoUrls": [
    "https://www.twitch.tv/theprimeagen/clip/ShinyShortJayAMPTropPunch-fBBwcBMKLJAaNZJt"
  ],
  "startMinute": 0,
  "maxDurationMinutes": 60,
  "language": "auto",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": []
  }
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "videoUrls": [
        "https://www.twitch.tv/theprimeagen/clip/ShinyShortJayAMPTropPunch-fBBwcBMKLJAaNZJt"
    ],
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": []
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("stackrelay/twitch-vod-transcript").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "videoUrls": ["https://www.twitch.tv/theprimeagen/clip/ShinyShortJayAMPTropPunch-fBBwcBMKLJAaNZJt"],
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": [],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("stackrelay/twitch-vod-transcript").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "videoUrls": [
    "https://www.twitch.tv/theprimeagen/clip/ShinyShortJayAMPTropPunch-fBBwcBMKLJAaNZJt"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": []
  }
}' |
apify call stackrelay/twitch-vod-transcript --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=stackrelay/twitch-vod-transcript",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/vEBfqKoWyjYaE8m0F/builds/oqOXFF9oMwxhhpTxD/openapi.json