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Design & media
Deepgram Asr
Try itTranscribe audio via Deepgram Nova-3 API. Fast, accurate, and cost-effective speech-to-text for 50+ languages. Transcripción de audio rápida y precisa con De...
What it does
Transcribe audio files via Deepgram's Nova-3 model. Sub-300ms latency, 50+ languages, $0.0043/min. Free $200 credit on signup.
The skill document
Deepgram ASR (Nova-3)
Transcribe audio files via Deepgram's Nova-3 model. Sub-300ms latency, 50+ languages, $0.0043/min. Free $200 credit on signup.
Transcriba archivos de audio con el modelo Nova-3 de Deepgram. Latencia inferior a 300ms, más de 50 idiomas, $0.0043/min. $200 de crédito gratis al registrarse.
Sending audio to OpenClaw
Currently, audio files can be sent to OpenClaw via Discord or WhatsApp. Send the audio file in a chat message and ask the bot to transcribe it.
Actualmente, los archivos de audio se pueden enviar a OpenClaw a través de Discord o WhatsApp.
Note: Direct voice recording in the OpenClaw web UI is not yet supported. Use a messaging app to send pre-recorded audio files.
Nota: La grabación de voz directa en la interfaz web de OpenClaw aún no está disponible. Use una aplicación de mensajería para enviar archivos de audio pregrabados.
Quick start
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a
Defaults:
- Model:
nova-3 - Output:
.txt
Useful flags
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --out /tmp/transcript.txt
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --language es # Spanish / Español
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --json --out /tmp/result.json
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --speakers # speaker diarization / separación de hablantes
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --paragraphs # smart paragraphs / párrafos inteligentes
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --summarize # AI summary / resumen con IA
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --detect-language # auto-detect language / detección automática de idioma
How it works
The script sends audio directly to Deepgram's API (api.deepgram.com) via HTTPS. No third-party services are involved — audio goes only to Deepgram.
- Reads the local audio file
- POSTs it to
https://api.deepgram.com/v1/listenwith your API key - Parses the JSON response and extracts transcript text
- Saves to output file
Privacy: Audio is sent directly to Deepgram's servers over HTTPS. No data is stored by this skill; Deepgram's data retention policy applies.
Dependencies
curl— for API callspython3— for JSON response parsing (stdlib only, no pip packages needed)
Credentials
- Sign up at https://console.deepgram.com
- Create an API key at https://console.deepgram.com/project/api-keys
- Free tier: $200 credit on signup
Set the environment variable:
export DEEPGRAM_API_KEY="your_api_key"
Supported languages
Nova-3 supports 45+ languages. Common language codes:
| Language | Code | Language | Code |
|---|---|---|---|
| English | en | Spanish / Español | es |
| French / Français | fr | German / Deutsch | de |
| Portuguese / Português | pt | Japanese / 日本語 | ja |
| Chinese / 中文 | zh | Korean / 한국어 | ko |
| Hindi / हिन्दी | hi | Russian / Русский | ru |
| Italian / Italiano | it | Dutch / Nederlands | nl |
| Arabic / العربية | ar | Turkish / Türkçe | tr |
Use --detect-language to auto-detect, or --language to specify.
Full list: https://developers.deepgram.com/docs/models-languages-overview
Supported formats
WAV, MP3, MP4, M4A, OGG, FLAC, WebM, and more.
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