Install
openclaw skills install oatda-transcribe-audioTranscribe 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.
openclaw skills install oatda-transcribe-audioTranscribe audio files to text through OATDA's unified audio API.
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.
| 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-modelswith?type=audiofirst.
The transcription endpoint supports:
multipart/form-data with a local file uploadfilefile_base64 for providers that support direct base64 payloadsMaximum audio file size is 25MB.
For local files, prefer multipart upload because it is simpler and avoids large JSON bodies.
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 $OATDA_API_KEY" | jq '.audio_models[] | {id, supported_params}'
Look for:
audio_modes containing transcriptionresponse_format valuesexport OATDA_API_KEY="${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 $OATDA_API_KEY" \
-F "provider=<PROVIDER>" \
-F "model=<MODEL>" \
-F "file=@<AUDIO_FILE>" \
-F "response_format=json"
AUDIO_DATA_URL="data:audio/mpeg;base64,$(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: $file, response_format: \"json\"}')"
language: ISO-639-1 language code like en, de, frprompt: Context for names, acronyms, or domain-specific termsresponse_format: json, text, srt, verbose_json, vtt, or diarized_jsontemperature: 0 to 1timestamp_granularities: word and/or segmentchunking_strategy: autohotwords: Provider-specific keyword hintsstream: true if supported by the selected modelThe API returns JSON like:
{
"text": "The transcribed text...",
"language": "en",
"duration": 42.5,
"segments": [],
"words": [],
"costs": {
"inputCost": 0,
"outputCost": 0.0001,
"totalCost": 0.0001,
"currency": "USD"
}
}
Present the text field to the user. Include subtitles, segments, or words if the requested format includes them.
| HTTP Status | Meaning | Action |
|---|---|---|
| 401 | Invalid API key | Tell user to check their key |
| 402 | Insufficient credits | Tell user to check balance |
| 400 | Bad request / model not supported | Check model or file format and query oatda-list-models with type=audio |
| 413 | File too large | Keep audio under 25MB or split it |
| 429 | Rate limited or monthly cap | Wait briefly and retry once |
export OATDA_API_KEY="${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"
/api/v1/llm/transcriptionsresponse_format=srt or vtt for subtitleslanguage to improve recognition when source language is knowntranscribe_audiooatda-generate-speech, oatda-translate-audio, oatda-list-models