Audio model. Handles transcription or speech synthesis.
Key strengths
- Low-latency streaming
- Multiple languages
- Accurate transcription
- Speaker separation
Use cases
- Voice transcription
- Meeting notes
- Call analysis
- Accessibility
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
response = requests.post(
"https://api.tokenlx.ai/v1/audio/transcriptions",
headers={
"Authorization": "Bearer sk-tokenlx-...",
"Content-Type": "application/json",
},
json={
"model": "openai-whisper",
"url": "https://example.com/audio-file.mp3",
},
)
data = response.json()
# 返回转写文本
print(data)Replace sk-aihubrouter-… with your key from the dashboard.