voice-transcriber

What This Skill Does

The voice-transcriber skill for OpenClaw is a robust utility designed to turn unstructured audio into actionable text documentation. Leveraging the power of Deepgram Nova-3, this skill provides industry-leading transcription accuracy while maintaining a streamlined workflow for saving both the original audio files and their corresponding text transcripts. Whether you are capturing a fleeting idea, archiving a long-form meeting, or creating a voice-first journal, the voice-transcriber handles the heavy lifting of audio ingestion, processing, and archival storage.

Installation

To add this skill to your OpenClaw environment, execute the following command in your terminal:

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

Ensure that you have sufficient permissions for file system access, as the skill requires read access to audio files and write access for generating text output files. No complex configuration files are required, but verify your environment supports Python 3.x and standard shell execution.

Use Cases

• Journaling: Founders and professionals can record quick thoughts on the go and have them automatically transcribed into a searchable archive.
• Meeting Recaps: Upload recordings of team synchronization calls to generate searchable, timestamped text logs.
• Research: Convert interviews, podcast snippets, or lecture recordings from various audio formats (OGG, MP3, WAV, etc.) into accessible text documents.
• Voice-First AI Workflows: Integrate this into automated pipelines where mobile audio uploads trigger downstream AI analysis or project management task creation.

Example Prompts

1. "OpenClaw, transcribe the file located at /data/meetings/team_sync_v1.wav and save the results to the project documentation folder."
2. "I just uploaded a voice note to the inbox. Please use the voice-transcriber to process it and add the summary to my daily journal."
3. "Transcribe my latest audio note titled 'product-ideas.ogg' and provide me with the main action items identified in the text."

Tips & Limitations

For the best results, ensure your audio files are clear and recorded with minimal background noise. While Deepgram Nova-3 is highly resilient, extremely muffled audio may degrade accuracy. Currently, this skill supports major audio formats including OGG, MP3, WAV, M4A, FLAC, and WEBM. Note that file processing time is proportional to the audio duration; for very long recordings, allow a moment for the script to finalize the transcript archival. Keep your file paths organized to ensure the archival system remains clean and searchable.