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hyperframes-media

Generate speech, transcribe audio/video, and remove backgrounds for HyperFrames compositions.

Updated May 14, 2026
Search Tags:#text-to-speech#transcription#media processing#background removal#HyperFrames
One-click install
npx skills add https://github.com/1veso/CONTENT_AUTOMATION_PIPELINE --skill hyperframes-media-1veso
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: hyperframes-media
Source: https://github.com/1veso/CONTENT_AUTOMATION_PIPELINE/tree/main/.agents/skills/hyperframes-media
Command: npx skills add https://github.com/1veso/CONTENT_AUTOMATION_PIPELINE --skill hyperframes-media-1veso

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires kokoro-onnx, soundfile, espeak-ng, u2net_human_seg, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines the creation of media assets for HyperFrames compositions by providing tools for text-to-speech, audio/video transcription, and background removal, enabling efficient production of voiceovers, captions, and transparent overlays.

Core Features & Use Cases

  • Text-to-Speech: Generate speech audio with various voice options, suitable for different content types.
  • Transcription: Produce word-level timestamped transcripts from audio and video, supporting multiple languages.
  • Background Removal: Remove backgrounds from videos and images for transparent overlays in compositions.
  • Use Case: For a marketing video, use the Skill to generate a voiceover from a script, transcribe the speech for captions, and remove the background of the video for a transparent overlay.

Quick Start

Generate a voiceover from text using the hyperframes-media skill: npx hyperframes tts "Your text here" --voice af_nova --output narration.wav

Frequently Asked Questions about hyperframes-media

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate a voiceover from text for a video composition?▼

Generate text-to-speech narration by passing your script text and selecting a voice option to output a WAV audio file for your composition. This process uses the kokoro-onnx library to synthesize speech directly from text input.

Can I transcribe audio and video files with word-level timestamps?▼

Yes, you can transcribe audio and video files to produce word-level timestamped transcripts supporting multiple languages. This extracts precise timing data for caption generation and subtitle alignment.

Does background removal work on both images and video files?▼

Background removal works on both video and image files to create transparent overlays for compositions. It uses the u2net_human_seg model to process visual data and isolate subjects from their backgrounds.

Do I need Python and external libraries to use text-to-speech and transcription?▼

Yes, you need Python and various external libraries including kokoro-onnx, soundfile, espeak-ng, and u2net_human_seg to run text-to-speech, transcription, and background removal processing.

What is the best way to preprocess media assets for HyperFrames compositions?▼

The best way to preprocess media assets is to use a unified tool that handles text-to-speech, transcription, and background removal, streamlining voiceovers, captions, and transparent overlays into a single workflow.

Why does transcription and background removal require external models?▼

Transcription and background removal require external models like u2net_human_seg and espeak-ng because they provide the specialized neural network processing and phoneme data needed for accurate media generation and analysis.

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