OpenAI Whisper is an open-source automatic speech recognition model for multilingual transcription and speech translation. This route provides hosted access for audio-to-text workflows.
Key strengths
- Multilingual recognition
- Speech transcription
- Speech translation
- Open-source model lineage
Use cases
- Meeting transcripts
- Subtitle creation
- Voice-note conversion
- Multilingual audio processing
WaveSpeed's wavespeed/openai-whisper is a high-quality speech model. It generates natural-sounding speech across multiple voices and languages, with low-latency streaming output suitable for real-time voice applications.
Supports SSML-style controls, configurable voices, speaking rate, and pitch. Compatible with the OpenAI `/audio/speech` and `/audio/transcriptions` endpoint shapes.
wavespeed/openai-whisper is fully OpenAI-compatible — drop in your existing OpenAI Python or Node SDK and switch `baseURL` to `https://api.tokenlx.ai`. TokenLX transparently routes your requests to the optimal provider endpoint while preserving streaming, function-calling, and structured-output semantics.
Performance
Compare different providers across TokenLX · All locations.
Effective Pricing
Pricing is shown by the model billing method, using per-call or per-second prices and resolution tiers.
Recent activity
Total usage per day on TokenLX (last 30 days).
Sample code & API
TokenLX normalizes requests and responses across providers. Use any OpenAI SDK or our native SDK.
import requests
headers = {
"Authorization": "Bearer sk-aihub-...",
"Content-Type": "application/json",
}
# Audio transcription
response_1 = requests.post(
"https://api.tokenlx.ai/v1/audio/transcriptions",
headers=headers,
json={"model": "openai-whisper", "url": "https://example.com/audio.mp3", "params": "{\"language\":\"zh\"}"},
)
print(response_1.json())Replace sk-aihubrouter-… with your key from the dashboard.