audio-to-text-captionTurn creator audio into clean text captions for ecommerce content and reuse. Use when teams need fast transcript-to-caption workflows.
Install via ClawdBot CLI:
clawdbot install Leooooooow/audio-to-text-captionGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 22, 2026
Teams create short product videos with audio descriptions and need clean captions for social media platforms like Instagram Reels or TikTok. This skill transcribes the audio, removes filler words, and formats text for engaging subtitles that boost accessibility and viewer retention.
After live streams or events, teams extract audio clips to turn into text-based content such as blog posts or social media captions. The skill processes the audio, flags unclear segments for review, and outputs a clean transcript ready for reuse across marketing channels.
Educators or trainers record audio lectures or tutorials and require accurate transcripts for captioning in video courses or study materials. The skill ensures readability by cleaning noise and formatting text to suit subtitle or script needs, enhancing learning accessibility.
Companies produce internal training videos with spoken content that needs to be converted into structured scripts or captions for compliance and clarity. The skill transcribes audio, formats it for caption-ready use, and provides review notes to flag any ambiguous parts.
Offer a basic version of the skill for free with limited features, such as a cap on audio length, and charge for premium tiers with advanced capabilities like batch processing or custom formatting. This attracts small teams and scales up to larger enterprises.
License the skill as an API that developers or businesses can integrate into their own applications, charging based on usage metrics like minutes of audio processed. This model suits tech companies needing flexible, scalable transcription services.
Provide tailored solutions for large organizations, including custom workflows, dedicated support, and integration with existing content management systems. This involves one-time setup fees and ongoing maintenance contracts for high-volume users.
💬 Integration Tip
Integrate this skill early in content creation pipelines to automate transcription and reduce manual editing time, ensuring output formats align with platform-specific caption requirements.
Scored Apr 19, 2026
Local speech-to-text with the Whisper CLI (no API key).
ElevenLabs text-to-speech with mac-style say UX.
Transcribe audio via OpenAI Audio Transcriptions API (Whisper).
Text-to-speech conversion using node-edge-tts npm package for generating audio from text. Supports multiple voices, languages, speed adjustment, pitch control, and subtitle generation. Use when: (1) User requests audio/voice output with the "tts" trigger or keyword. (2) Content needs to be spoken rather than read (multitasking, accessibility, driving, cooking). (3) User wants a specific voice, speed, pitch, or format for TTS output.
Local text-to-speech via sherpa-onnx (offline, no cloud)
Start voice calls via the OpenClaw voice-call plugin.