AI识别字幕（去气口）
POST
/llm/asr_llm_vad
1. 这个接口能帮你做什么
/llm/asr_llm_vad 是一个“更适合剪辑场景”的音频理解接口。它的价值不是只给你全文，而是给你可直接用于编辑流程的分段化结果：
content）segments）keywords）2. 输入你需要提供什么
url 音视频地址content（可选）你希望对齐的目标文案；传入后进入 STA 模式3. 输出你会拿到什么
| 字段 | 类型 | 业务含义 |
|---|---|---|
success | boolean | 请求是否成功 |
mode | string | 本次走的是 asr 还是 sta |
content | string | 可直接展示/存储的全文文本 |
segments | array | 可直接做时间轴处理的分段数据 |
error | string | 失败时的可读错误信息 |
4. 典型应用场景
1.
segments 直接切片，减少人工初剪成本。2.
3.
4.
5.
5. 与 /llm/asr_llm 如何选
/llm/asr_llm/llm/asr_llm_vad1.
/llm/asr_llm_vad 做自动切段2.
/llm/asr_llm（STA 模式）做关键文案对齐与精修7. 失败时如何处理
缺少参数 url缺少 jwt_token 或 Authorization Bearer Token余额不足，可以去官网充值：https://www.vectcut.comllm_vad(asr) 服务调用失败: ...1.
success 判断成功与否。2.
error，并保留请求 trace 便于排查。3.
请求参数
Body 参数application/json必填
返回响应
请求示例请求示例
Shell
JavaScript
Java
Swift
cURL
curl --location --request POST 'https://open.vectcut.com/llm/asr_llm_vad' \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data-raw '{
"url": "https://p3-bot-workflow-sign.byteimg.com/tos-cn-i-mdko3gqilj/ba7d779c17544e95afbe4a62708033e9.mp4~tplv-mdko3gqilj-image.image?rk3s=81d4c505&x-expires=1796916246&x-signature=04k4w%2FoWurPyGkiaQsLYGZgkALc%3D&x-wf-file_name=VID_20251215_232209.mp4"
}'响应示例响应示例
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"content": "为什么我们选择把代码开源了明明辛辛苦苦做了半年而且开源版本的剪辑 API的能力实际上已经非常丰富了为什么选择这么做主要原因是我觉得未来一定是 AI 编程的时代人人都能通过和 AI 对话的方式实现自己想要的功能那把代码开源就是一个最好的微调全世界 AI模型的方法这样大家无论用哪一家的 AI去做剪辑工具的时候都有很大概率会用到我们的接口",
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"text": "明明辛辛苦苦做了半年",
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"text": "辛"
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"text": "而且开源版本的剪辑 API",
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"text": "的能力实际上",
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"text": "已经非常丰富了",
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"text": "为什么选择这么做",
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"text": "主要原因是我觉得",
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"text": "未来一定是 AI 编程的时代",
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"text": "人人都能通过和 AI 对话",
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"text": "的方式实现自己想要的功能",
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"text": "这样大家无论用哪一家的 AI",
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"text": "去做剪辑工具的时候",
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