# Chinese audio → Traditional Chinese transcript + SRT

**Use case:** 

Pre-configured for Mandarin audio: forces Traditional Chinese with Taiwan phrasing (OpenCC s2twp), keeps the Whisper hallucination filter on, and returns plain text, timed segments and an SRT subtitle file. Swap the sample URL for your own podcast episode or media link and hit Start.

## Input

```json
{
  "audioUrls": [
    "https://upload.wikimedia.org/wikipedia/commons/d/d0/%E7%B6%AD%E5%9F%BA%E7%99%BE%E7%A7%91-%E4%B8%AD%E8%8F%AF%E6%B0%91%E5%9C%8B.ogg"
  ],
  "language": "zh",
  "chineseScript": "traditional",
  "outputFormats": [
    "text",
    "segments",
    "srt"
  ],
  "model": "whisper-large-v3-turbo",
  "filterHallucinations": true,
  "chunkMinutes": 10,
  "maxFileSizeMb": 500,
  "maxDurationMinutes": 240
}
```

## Output

```json
{
  "index": {
    "label": "#",
    "format": "number"
  },
  "status": {
    "label": "Status",
    "format": "text"
  },
  "url": {
    "label": "Source",
    "format": "link"
  },
  "language": {
    "label": "Language",
    "format": "text"
  },
  "durationSec": {
    "label": "Duration (s)",
    "format": "number"
  },
  "billableMinutes": {
    "label": "Billed min",
    "format": "number"
  },
  "scriptConversion": {
    "label": "Script fix",
    "format": "text"
  },
  "droppedSegments": {
    "label": "Dropped segments",
    "format": "number"
  },
  "emptyTranscript": {
    "label": "Empty",
    "format": "boolean"
  },
  "text": {
    "label": "Transcript",
    "format": "text"
  },
  "srtUrl": {
    "label": "SRT",
    "format": "link"
  },
  "vttUrl": {
    "label": "VTT",
    "format": "link"
  },
  "error": {
    "label": "Error",
    "format": "text"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Traditional Chinese Speech to Text — Whisper SRT Subtitles Actor is ready to run with the inputs already set for "Chinese audio → Traditional Chinese transcript + SRT". [Sign up or log in](https://console.apify.com/create-task-from-example/1b4aYa9cAT3Eg17DU) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Chinese audio → Traditional Chinese transcript + SRT" task

The Traditional Chinese Speech to Text — Whisper SRT Subtitles Actor will start running based on the input automatically. You can also change all the input fields, like audio / video urls, spoken language, and more, to match your specific use case.

### 3. Receive the "Chinese audio → Traditional Chinese transcript + SRT" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as #, status, source, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Chinese audio → Traditional Chinese transcript + SRT" task via API](https://apify.com/flyingfishclaw/cjk-transcriber.md).

## About this Actor

This example demonstrates how to use [Traditional Chinese Speech to Text — Whisper SRT Subtitles](https://apify.com/flyingfishclaw/cjk-transcriber.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/flyingfishclaw/cjk-transcriber.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/flyingfishclaw/cjk-transcriber.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).