# dTelecom STT

> Use this tool when you need to transcribe audio files into text with high accuracy, such as for AI assistants or voice-activated applications. It provides real-time speech-to-text functionality, accepting audio files as input and producing transcribed text as output. Ideal for use cases requiring production-grade transcription, with a pay-per-use model and USDC payment via x402.

Canonical page: https://skillsregistry.net/skills/dtelecom-stt  
JSON: https://api.skillsregistry.net/v1/skills/dtelecom-stt

## Description

Real-time speech-to-text for AI assistants. Transcribe audio files with production-grade accuracy. Pay per use with USDC via x402 — no API keys needed.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** media
- **Updated:** 2026-05-14

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/dtelecom/stt)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "dtelecom-stt"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dtelecom-stt` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dtelecom-stt/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
