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Whisper Large V3 CT2

Whisper Large V3 with word-level timestamps and speaker labels. 99 languages with auto-detection. Transcribes TikTok, YouTube, X, Twitch and Kick URLs, X Spaces, and direct video and audio uploads.

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  • No subscriptions
  • No credit card required

Sample Outputs

Real outputs generated with Whisper Large V3 CT2 on deAPI.

Capabilities

What you can do with Whisper Large V3 CT2.

Video-to-Text

Convert YouTube, TikTok and X videos to accurate transcripts with timestamps. Supports 99 languages with auto-detection.

Audio-to-Text

Transcribe audio files and X Spaces into searchable text. Fast, multilingual, and perfect for content platforms.

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How to use in deAPI

Integrate Whisper Large V3 CT2 into your app with a single API call.

POST https://api.deapi.ai/api/v2/audio/transcriptions

curl · deAPI audio/transcriptions

curl -X 'POST' \
  'https://api.deapi.ai/api/v2/audio/transcriptions' \
  -H 'accept: application/json' \
  -H 'Authorization: Bearer YOUR_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{
    "model": "WhisperLargeV3Ct2",
    "source_url": "https://www.tiktok.com/@claude/video/7660583650773323022",
    "include_ts": true
}'{
    "model": "WhisperLargeV3Ct2",
    "source_url": "https://www.tiktok.com/@claude/video/7660583650773323022",
    "include_ts": true
}

Tip: The API returns a request_id. Use webhooks (recommended) or poll GET /jobs/{request_id} for results.

POST https://api.deapi.ai/api/v2/audio/transcriptions

curl · deAPI audio/transcriptions

curl -X 'POST' \
  'https://api.deapi.ai/api/v2/audio/transcriptions' \
  -H 'accept: application/json' \
  -H 'Authorization: Bearer YOUR_API_KEY' \
  -F 'model=WhisperLargeV3Ct2' \
  -F 'source_file=@/path/to/file' \
  -F 'include_ts=1'{
    "model": "WhisperLargeV3Ct2",
    "source_file": "@/path/to/audio.mp3",
    "include_ts": true
}

Tip: The API returns a request_id. Use webhooks (recommended) or poll GET /jobs/{request_id} for results.

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Frequently Asked Questions

Whisper Large V3 with word-level timestamps and speaker labels. 99 languages with auto-detection. Transcribes TikTok, YouTube, X, Twitch and Kick URLs, X Spaces, and direct video and audio uploads.
Whisper Large V3 times the transcript by segment only. Whisper Large V3 CT2 adds word-level timestamps and speaker diarization, and always returns JSON with the detected language and its probability, plus a confidence score for each segment when you ask for timestamps.
TikTok, YouTube, X (Twitter), Twitch and Kick videos and X Spaces by URL, plus directly uploaded audio and video files. Uploads take AAC, MP3, OGG, WAV, WebM and FLAC audio up to 20 MB, and MP4, MPEG, MOV, AVI, WMV and OGG video up to 50 MB.
Send `"include_ts": true` with `"ts_level": "word"`. Each segment then carries a `words` list in which every word has its own `start` and `end` time in seconds. Without `ts_level`, timestamps are per segment.
Send `"diarize": true`. Each timed unit gets an anonymous label such as `SPEAKER_00` or `SPEAKER_01`; the labels tell voices apart within one file, not who the people are. Use it together with `"ts_level": "word"`: then every word carries its speaker and you can rebuild the conversation turn by turn. At segment level a segment can run up to about 30 seconds and get a single label even when several people speak in it.
Yes. Add `"include_metadata": true` and the result also carries the source's title, channel and engagement counts such as views and likes. It costs $0.005 per request and applies only to URL sources; uploaded files are never charged for it.
Yes. Whisper Large V3 CT2 is available via the deAPI REST API. Submit a request with `"model": "WhisperLargeV3Ct2"`, receive a request ID, and get the result by webhook or by polling. See the API documentation at https://docs.deapi.ai for code examples in Python, Node.js, and cURL.
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  • Pay only for what you use

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