API2D
  1. Azure
API2D
  • OpenAI
    • 聊天接口 /v1/chat/completions
      POST
    • 内容补全接口 /v1/completions
      POST
    • 文本编辑 /v1/edits
      POST
    • 向量生成 /v1/embeddings
      POST
    • 图片生成 /v1/images/generations
      POST
    • 余额查询
      GET
    • 文本转音频
      POST
    • 音频转文本
      POST
    • 音频转文本并翻译为英文
      POST
  • 向量数据库
    • 生成 uuid
      GET
    • 查询searchable_id
      POST
    • 写入向量
      POST
    • 基于向量搜索
      POST
    • 删除单条记录
      POST
    • 删除某个 uuid 对应的所有向量数据
      POST
    • 删除当前用户写入过的所有向量数据
      POST
    • 查询数据
      POST
  • Azure
    • 文字 => 语音
      POST
    • 语音 => 文字
      POST
  • 开发者计划
    • 分组操作
      • 创建分组
      • 获取所有分组
      • 获取单个分组
      • 删除分组
      • 修改分组
    • Custom Key 操作
      • 获取分组内的所有 key
      • 创建 key
      • 更新 key
      • 启用/禁用 key
      • 删除 key
      • 转入/转出点数
      • 批量转入点数
      • 批量设置请求频率上限
      • 搜索 key
    • 生成 API Token
      POST
    • 查询点数消耗
      POST
  • Claude
    • 聊天接口
      POST
  • Stable Diffusion
    • Stable Diffusion 图片生成
    • [新] Stable Diffusion Core 图片生成
    • [新] Stable Diffusion 3 图片生成/图片修改
  • Gemini 2
    • 聊天接口
  1. Azure

语音 => 文字

POST
/azure/stt
计费说明：
费用（最小 1P） = 语音文件内容费用 + 语音文件尺寸对应流量费用
语音文件内容费用：1MB ≈ 55.55 P
语音文件尺寸对应流量费用：1GB ≈ 1904.7 P
价格计算涉及到美元和人民币换算，以及货币和 P 点换算，所以算出的价格是约等于。实际结果可能有少量出入，但不会有太大误差

请求参数

Header 参数
Content-Type
string 
必需
默认值:
application/json
Authorization
string 
必需
Bearer 你的forwardKey/customKey/API Token
默认值:
Bearer fk....
Body 参数application/json
file
string  | integer  | boolean  | array  | object  | number  | null 
必需
需要识别文字的语音文件，wav 格式
language
string 
必需
文字对应的语言，Azure 支持的语言列表：https://learn.microsoft.com/en-us/azure/cognitive-services/speech-service/language-support?tabs=stt
moderation
boolean 
可选
默认为 false，为 true 时会调用图片安全接口对内容进行判定，并将审核结果添加到返回值中的 moderation 字段，开发者可以根据值自行判断如何处理。审核输出的详细解释：https://cloud.tencent.com/document/product/1125/53273 开启后每张图片增加 10P 消耗
默认值:
false
moderation_stop
boolean 
可选
默认为 false，在 moderation 为 true 且自身也为 true 时，如果审核结果不是 Pass，会过滤结果，返回 {"text": "内容违规"}
默认值:
false
示例
{
  "text": "这里放向量对应的文本内容",
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}

示例代码

Shell
JavaScript
Java
Swift
Go
PHP
Python
HTTP
C
C#
Objective-C
Ruby
OCaml
Dart
R
请求示例请求示例
Shell
JavaScript
Java
Swift
curl --location --request POST 'https://oa.api2d.net/azure/stt' \
--header 'Authorization;' \
--header 'Content-Type: application/json' \
--data-raw '{
    "text": "这里放向量对应的文本内容",
    "embedding": 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}'

返回响应

🟢200OK
application/json
Body
object {0}
示例
{
  "text": "这里是识别出来的文本"
}
修改于 2023-05-27 04:03:31
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