voice-transcriber

What This Skill Does

The voice-transcriber skill for OpenClaw is a robust audio-to-text integration that leverages the state-of-the-art Deepgram Nova-3 engine. It is designed to capture, process, and archive voice-based interactions seamlessly. Beyond simple transcription, the tool handles file management by saving both the original audio files and the generated text transcripts in a structured format. This makes it an essential utility for agents that need to process verbal input, maintain documentation, or perform analysis on spoken audio across various formats including OGG, MP3, WAV, M4A, FLAC, and WEBM.

Installation

To integrate this skill into your local OpenClaw environment, execute the following command in your terminal:

clawhub install openclaw/skills/skills/aiwithabidi/voice-transcriber

Ensure that your environment has the necessary dependencies installed as defined in the source repository. Once installed, the skill exposes shell scripts and Python utilities that can be triggered directly by your OpenClaw agent instance.

Use Cases

This skill is highly versatile and supports various professional and personal workflows:

• Founder Journaling: Quickly capture thoughts and strategic pivots while on the move, ensuring a persistent record for future agent analysis.
• Meeting Intelligence: Transcribe recorded meetings automatically to extract action items, summaries, and key decisions.
• Voice-First Productivity: Build agent workflows where commands or data entries are spoken rather than typed, improving accessibility and efficiency.
• Content Creation: Record raw spoken drafts for blogs, social media posts, or video scripts that the agent can later refine and format.

Example Prompts

1. "Transcribe the meeting recording located at /data/audio/sync_meeting_01.ogg and save the transcript to my notes folder."
2. "Process my latest voice note from today; archive the file and send the transcript to my daily log."
3. "Take this audio file at /incoming/memo.wav and give me a 3-bullet point summary of the main topics."

Tips & Limitations

To get the most out of your transcriptions, ensure high-quality audio input and minimize background noise, as this improves Deepgram's accuracy significantly. Keep in mind that file processing relies on local system access; verify that the agent has appropriate read/write permissions for the target directories. For long audio files, ensure your system has sufficient memory to handle the conversion process without interruption. Always remember to check for updates via the clawhub to access the latest version of the Nova-3 integration.