A cost-effective, decentralized AI toolkit for processing transcription, images, video, and audio through a unified API.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install deapi
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install deapi using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is deAPI AI Media Suite?
The deAPI AI Media Suite is a robust collection of Openclaw Skills designed to provide developers with the most affordable AI media tools on the market. By leveraging a decentralized GPU network, it offers high-performance transcription for YouTube and Twitch, state-of-the-art image generation using Flux models, and expressive text-to-speech across 54+ voices. This skill acts as a bridge to a unified API, simplifying complex AI workflows into manageable, low-cost operations.
Built for developers who need scalability without the high price tag of traditional providers, these Openclaw Skills handle everything from background removal and image upscaling to text embeddings for semantic search. With a simple asynchronous request pattern, the suite ensures reliable processing even for heavy video generation or long-form audio transcription tasks.
deAPI AI Media Suite Use Cases
- Transcribing long-form content from YouTube, X, or Twitch for content repurposing using Openclaw Skills.
- Generating high-resolution marketing images using Flux and Z-Image models.
- Creating natural-sounding voiceovers in multiple languages for automated video production.
- Extracting text from documents via OCR or cleaning up product photography with background removal.
- Implementing semantic search or RAG systems using multi-lingual text embeddings.
How deAPI AI Media Suite Works
- Submit a POST request to a specific endpoint (e.g., vid2txt, txt2img) with your parameters and API key.
- Receive a unique request_id from the deAPI backend.
- Implement a polling loop (suggested every 10 seconds) to check the status of the request via the request-status endpoint.
- Once the status transitions to "done", retrieve the final asset or data from the provided result_url.
- Handle any potential errors like rate limiting or authorization issues within the Openclaw Skills workflow.
deAPI AI Media Suite Setup
To begin using these Openclaw Skills, obtain an API key from deapi.ai and configure your environment variable:
export DEAPI_API_KEY=your_api_key_here
Ensure your development environment has access to this variable to authenticate requests to the decentralized API.
deAPI AI Media Suite Data Schema & Taxonomy
The skill processes various media formats and returns structured JSON or direct media links. Below is the metadata and data organization for these Openclaw Skills:
| Data Type | Input Format | Output Format |
|---|---|---|
| Transcription | URL (YouTube/Audio) | JSON with timestamps & text |
| Image Gen | Text Prompt | PNG/JPG Image URL |
| Audio (TTS) | Text String | MP3/WAV/FLAC Audio file |
| Video Gen | Text/Image + Params | MP4 Video URL |
| Embeddings | Text String | 1024-dimensional vector |
| OCR | Image File | Extracted String Content |
deAPI AI Media Suite Advanced Features
- Asynchronous polling pattern for managing long-running media generation tasks reliably.
- Multi-model flexibility allowing users to choose between speed (Klein) and quality (Flux/Qwen) for image tasks.
- Multi-image style transfer support within the img2img endpoint for complex artistic transformations.
- Decentralized GPU infrastructure ensures high availability and significantly lower costs compared to centralized alternatives.
- Integration of BGE-M3 models for high-accuracy, multi-lingual text embeddings within Openclaw Skills.
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