HomeSkills › Edge TTS
Automation & Workflows

Edge TTS

21.9K downloads 33 stars Version 2.0.0 Rank #169 of 10,000+

What this skill does

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.

Edge TTS is part of the Automation & Workflows category — automation and workflow skills that schedule, trigger, and orchestrate tasks. You can install it on its own or alongside other automation & workflows skills from the OpenClaw catalog.

Edge TTS is ranked #169 by downloads in the OpenClaw skill catalog (21.9K total downloads, 33 stars). It belongs to the Automation & Workflows category alongside 1057 other top-10000 skills.

How to install Edge TTS

The easiest path is via the OpenClaw Easy desktop app — one click, no terminal required:

  1. Download OpenClaw Easy for macOS or Windows (free, one-click installer, ~30 seconds).
  2. Open the in-app Skills panel.
  3. Search for edge-tts and click Install.
  4. The skill activates automatically when an incoming message matches its description.

Install from the command line

If you already run the OpenClaw CLI, add Edge TTS with a single command:

openclaw skills add edge-tts

This pulls edge-tts from ClawHub and installs it into ~/.openclaw/skills/edge-tts/. Restart the OpenClaw gateway afterwards so the new skill is discovered.

How to use Edge TTS

Once installed, Edge TTS activates on its own: when an incoming message on WhatsApp, Telegram, Slack, Discord, Feishu or Line matches the skill's description, your OpenClaw agent loads it and runs the workflow. You can also trigger it explicitly by describing the task in chat. No extra configuration is required after install.

Turning video into a finished short

Edge TTS works with video. Getting from there to something postable is a separate job: ViralMint — an open-source video pipeline — reframes to vertical, cleans the audio, cuts dead air, burns animated captions, and exports a version sized for TikTok, Reels, and Shorts.

It runs as an MCP server, so an OpenClaw agent can drive it from the same chat you already use: ask for a short, and the render comes back finished. See how to connect a video pipeline to your agent.

Manual install (advanced)

If you prefer manual installation:

  1. Click the Download .zip button above to grab edge-tts-2.0.0.zip directly from our S3 mirror.
  2. Unzip into ~/.openclaw/skills/edge-tts/ (create the directory if it does not exist).
  3. Restart OpenClaw Easy (or the OpenClaw CLI gateway) so the new skill is discovered.

Frequently asked questions

How do I install Edge TTS?

Install Edge TTS in the OpenClaw Easy desktop app by opening the Skills panel, searching for edge-tts, and clicking Install. From a terminal you can run: openclaw skills add edge-tts. Either way the skill is placed in ~/.openclaw/skills/edge-tts/.

Is Edge TTS free?

Yes. Edge TTS is free and open-source, distributed under the Apache-2.0 license through ClawHub. No account or payment is required to download or run it.

What does Edge TTS do?

Text-to-speech conversion using node-edge-tts npm package for generating audio from text.

Related: more automation & workflows skills

If Edge TTS looks useful, you may also want to check out other automation & workflows skills in the OpenClaw catalog:

Browse the full OpenClaw skill catalog

This page covers just one skill. The OpenClaw skill hub has 10,000+ more — search, sort by downloads or stars, and install any of them in one click. There is also a curated awesome-openclaw-skills list grouped by use case.

Get OpenClaw Easy — Free

Install Edge TTS and 10,000+ other OpenClaw skills in one click. Free, open-source, runs locally on macOS & Windows.

Free, open-source · Apache-2.0 · Works with Claude, ChatGPT, Gemini, or local Ollama models