OpenAI
Whisper Large v3
OpenAI's Whisper on fal's fast runtime: the cheapest way to transcribe hours of audio, in 99 languages, and it translates any of them into English. Segment timings, no speaker labels. On Leap, it sits beside 131 other models in one studio.
- Speech to text
- Captions
- Start free, no card
- Every top model, one account
- Pay per run, priced before it starts
- 01Describe what you want to see
- 02See the exact price, then press go
- 03Keep it in your library, or take it further
Start with an idea
Bring a photo to Whisper Large v3
Whisper Large v3 works on a picture you already have. Open it in the studio, add your photo, and see the result in seconds.
Questions
Whisper Large v3 on Leap, answered.
- Is this the real Whisper Large v3?
- Yes. Leap sends your request to OpenAI's model through its provider and gives you back what it makes. Switch to any other model in the same studio when an idea needs it.
- What does it cost?
- In dollars, per run: the provider's list price plus 10%. You see the exact price before every run, a run that fails costs nothing, and there is no subscription. Every model's price is on the pricing page.
- Do I need a OpenAI account?
- No. One Leap account and one balance run Whisper Large v3 and every other model, in the studio, through the API and from your agents.
- What happens to what I make?
- It stays in your library while your account is active, ready to use anywhere.
Your idea, Whisper Large v3.
Start free, no card. Every run shows its price before it starts.
Make it with Whisper Large v3For developers
Run Whisper Large v3 from code
- Model ID
- openai/whisper-large-v3
- Makes
- Speech to text
- Pricing
- Per run, quoted first: POST /v1/quotes
Inputs
What the model takes. Leave out anything with a default.
Recordingaudio_file
An imageThe sound to transcribe: an uploaded file, by ID. Up to 4 hours.
Videovideo
An imageOr a video whose speech to transcribe: an uploaded file, by ID. Up to 4 hours.
Languagelanguage
Detect, English, Spanish, Portuguese, French, German, Italian, Dutch, Polish, Russian, Ukrainian, Turkish, Arabic, Hebrew, Persian, Hindi, Bengali, Urdu, Tamil, Indonesian, Malay, Filipino, Vietnamese, Thai, Chinese, Japanese, Korean, Swedish, Danish, Norwegian, Finnish, Greek, Czech, Romanian, Hungarian, Swahili, Yoruba. Default: DetectThe language spoken. Detect works for most recordings.
Translate totranslate_to
EnglishSubtitles in another language, timed to the speech. Leave it out to keep the spoken language.
The request
The same envelope for every model; only the model and its input change. With prefer: wait=60 the answer holds the result. Agents can call it through the MCP server at mcp.tryleap.ai.
curl https://api.tryleap.ai/v1/generations \ -H "x-api-key: $LEAP_API_KEY" \ -H "content-type: application/json" \ -H "prefer: wait=60" \ -d '{ "model": "openai/whisper-large-v3", "input": {} }'