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OATDA Transcribe Audio

通过 OATDA 统一音频 API 做语音转文字:解析 API Key 后,用 curl 以 multipart 上传本地音频或传 base64 数据,默认走 whisper-1,可按 response_format 输出纯文本、JSON、SRT/VTT 字幕与时间戳,并返回分段、词级数据与费用信息。

devcsde
devcsde
热度 49.39
最近更新 2026-07-18 07:23:40
分类:效率依赖:代码执行 / 读写文件 / 第三方 API应用场景:文件转换

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add oatda-transcribe-audio
Metadata
name
oatda-transcribe-audio
description
Transcribe audio to text using OATDA's unified audio API. Triggers when the user wants speech-to-text, transcription of meetings, podcasts, voice notes, subtitles, timestamps, or Whisper-style transcription through OATDA.
homepage
https://oatda.com
metadata
{"openclaw":{"emoji":"📝","requires":{"bins":["curl","jq"],"env":["OATDA_API_KEY"],"config":["~/.oatda/credentials.json"]},"primaryEnv":"OATDA_API_KEY"}}

OATDA Audio Transcription

Transcribe audio files to text through OATDA's unified audio API.

API Key Resolution

All commands need the OATDA API key. Resolve it inline for each exec call:

export OATDA_API_KEY="${OATDA_API_KEY:-$(cat ~/.oatda/credentials.json 2>/dev/null | jq -r '.profiles[.defaultProfile].apiKey' 2>/dev/null)}"

If the key is empty or null, tell the user to get one at https://oatda.com and configure it.

Security: Never print the full API key. Only verify existence or show first 8 chars.

Model Mapping

User says Provider Model
whisper, whisper-1, openai whisper (default) openai whisper-1
transcription, speech to text, stt openai whisper-1

Default: openai / whisper-1 if no model specified.

If the user provides provider/model format directly (for example openai/whisper-1), split on /.

⚠️ Models change over time. If a model ID fails, query oatda-list-models with ?type=audio first.

Input Preparation

The transcription endpoint supports:

  • multipart/form-data with a local file upload
  • JSON with a base64 data URL in file
  • JSON with file_base64 for providers that support direct base64 payloads

Maximum audio file size is 25MB.

For local files, prefer multipart upload because it is simpler and avoids large JSON bodies.

Discovering Audio Model Parameters

export OATDA_API_KEY="${OATDA_API_KEY:-$(cat ~/.oatda/credentials.json 2>/dev/null | jq -r '.profiles[.defaultProfile].apiKey' 2>/dev/null)}" && \
curl -s -X GET "https://oatda.com/api/v1/llm/models?type=audio" \
  -H "Authorization: Bearer $OATDA_API_KEY" | jq '.audio_models[] | {id, supported_params}'

Look for:

  • audio_modes containing transcription
  • supported response_format values
  • optional timestamp, diarization, or streaming support

API Call (multipart)

export OATDA_API_KEY="${OATDA_API_KEY:-$(cat ~/.oatda/credentials.json 2>/dev/null | jq -r '.profiles[.defaultProfile].apiKey' 2>/dev/null)}" && \
curl -s -X POST "https://oatda.com/api/v1/llm/transcriptions" \
  -H "Authorization: Bearer $OATDA_API_KEY" \
  -F "provider=<PROVIDER>" \
  -F "model=<MODEL>" \
  -F "file=@<AUDIO_FILE>" \
  -F "response_format=json"

Alternative API Call (base64 JSON)

AUDIO_DATA_URL="data:audio/mpeg;base64,$(base64 -w 0 audio.mp3)"

export OATDA_API_KEY="${OATDA_API_KEY:-$(cat ~/.oatda/credentials.json 2>/dev/null | jq -r '.profiles[.defaultProfile].apiKey' 2>/dev/null)}" && \
curl -s -X POST "https://oatda.com/api/v1/llm/transcriptions" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OATDA_API_KEY" \
  -d "$(jq -n \
    --arg provider \"<PROVIDER>\" \
    --arg model \"<MODEL>\" \
    --arg file \"$AUDIO_DATA_URL\" \
    '{provider: $provider, model: $model, file: $file, response_format: \"json\"}')"

Common Parameters

  • language: ISO-639-1 language code like en, de, fr
  • prompt: Context for names, acronyms, or domain-specific terms
  • response_format: json, text, srt, verbose_json, vtt, or diarized_json
  • temperature: 0 to 1
  • timestamp_granularities: word and/or segment
  • chunking_strategy: auto
  • hotwords: Provider-specific keyword hints
  • stream: true if supported by the selected model

Response Format

The API returns JSON like:

{
  "text": "The transcribed text...",
  "language": "en",
  "duration": 42.5,
  "segments": [],
  "words": [],
  "costs": {
    "inputCost": 0,
    "outputCost": 0.0001,
    "totalCost": 0.0001,
    "currency": "USD"
  }
}

Present the text field to the user. Include subtitles, segments, or words if the requested format includes them.

Error Handling

HTTP Status Meaning Action
401 Invalid API key Tell user to check their key
402 Insufficient credits Tell user to check balance
400 Bad request / model not supported Check model or file format and query oatda-list-models with type=audio
413 File too large Keep audio under 25MB or split it
429 Rate limited or monthly cap Wait briefly and retry once

Example

export OATDA_API_KEY="${OATDA_API_KEY:-$(cat ~/.oatda/credentials.json 2>/dev/null | jq -r '.profiles[.defaultProfile].apiKey' 2>/dev/null)}" && \
curl -s -X POST "https://oatda.com/api/v1/llm/transcriptions" \
  -H "Authorization: Bearer $OATDA_API_KEY" \
  -F "provider=openai" \
  -F "model=whisper-1" \
  -F "file=@meeting.mp3" \
  -F "response_format=json"

Notes

  • Endpoint: /api/v1/llm/transcriptions
  • Prefer multipart upload for local files
  • Use response_format=srt or vtt for subtitles
  • Use language to improve recognition when source language is known
  • Equivalent capability name: transcribe_audio
  • Related skills: oatda-generate-speech, oatda-translate-audio, oatda-list-models