音频

语音识别（STT）和语音合成（TTS）接口。

语音合成 POST

将文本转换为语音。

POST https://flashapi.ai/v1/audio/speech

请求参数

参数	类型	必填	说明
model	string	✅	TTS 模型，如 tts-1、tts-1-hd
input	string	✅	要转换的文本
voice	string	✅	声音类型：alloy/echo/fable/onyx/nova/shimmer
response_format	string		输出格式：mp3/opus/aac/flac，默认 mp3
speed	number		语速，0.25~4.0，默认 1.0

示例请求

cURLPythonJavaScript bash

curl -X POST "https://flashapi.ai/v1/audio/speech" \

 -H "Content-Type: application/json" \

 -H "Authorization: Bearer sk-xxxx" \

 -d '{

 "model": "tts-1",

 "input": "你好，欢迎使用 FlashAPI。",

 "voice": "alloy"

 }' \

 --output speech.mp3

python

from openai import OpenAI

client = OpenAI(

 api_key="sk-xxxx",

 base_url="https://flashapi.ai/v1"

)

response = client.audio.speech.create(

 model="tts-1",

 voice="alloy",

 input="你好，欢迎使用 FlashAPI。"

)

response.stream_to_file("speech.mp3")

javascript

import OpenAI from 'openai';

import fs from 'fs';

const client = new OpenAI({

 apiKey: 'sk-xxxx',

 baseURL: 'https://flashapi.ai/v1',

});

const response = await client.audio.speech.create({

 model: 'tts-1',

 voice: 'alloy',

 input: '你好，欢迎使用 FlashAPI。',

});

const buffer = Buffer.from(await response.arrayBuffer());

fs.writeFileSync('speech.mp3', buffer);

语音识别 POST

将音频文件转换为文本。

POST https://flashapi.ai/v1/audio/transcriptions

请求参数

参数	类型	必填	说明
file	file	✅	音频文件（mp3/mp4/wav/webm 等）
model	string	✅	识别模型，如 whisper-1
language	string		语言代码，如 zh
response_format	string		输出格式：json/text/srt/vtt

示例请求

cURLPython bash

curl -X POST "https://flashapi.ai/v1/audio/transcriptions" \

 -H "Authorization: Bearer sk-xxxx" \

 -F file="@audio.mp3" \

 -F model="whisper-1" \

 -F language="zh"

python

from openai import OpenAI

client = OpenAI(

 api_key="sk-xxxx",

 base_url="https://flashapi.ai/v1"

)

with open("audio.mp3", "rb") as f:

 response = client.audio.transcriptions.create(

 model="whisper-1",

 file=f,

 language="zh"

 )

print(response.text)

响应

json

{

 "text": "你好，欢迎使用 FlashAPI。"

}