# Get Transcription — Speak AI

> Retrieve just the transcript of a processed Speak AI media file, as an array of speaker-attributed segments. Use Find Media instead to get sentiment, keywords and the rest of the analysis. See the documentation.

- Key: `speak_ai-get-transcription`
- Type: Action (Read-only)
- Version: 0.0.4
- App: Speak AI (`speak_ai`) — https://pipedream.com/apps/speak-ai.md
- This page (HTML): https://pipedream.com/apps/speak-ai/actions/get-transcription
- Hints: read-only · open-world
- Source: https://github.com/PipedreamHQ/pipedream/blob/master/components/speak_ai/actions/get-transcription/get-transcription.mjs

## Description

Retrieve just the transcript of a processed Speak AI media file, as an array of speaker-attributed segments. Use **Find Media** instead to get sentiment, keywords and the rest of the analysis. [See the documentation](https://docs.speakai.co/api/media/#get-media-transcript-media-id).

## Props

| Prop | Type | Required | Description |
|---|---|---|---|
| `folderId` | `string` | Yes | A Speak AI folder ID, e.g. 905c208f1c07. The folder to upload to, or to retrieve files from. Returned as folderId by List Folder ID Options Options are loaded from the connected account. |
| `mediaId` | `string` | Yes | A Speak AI media ID, for example b4994aa1267c. Get it from the mediaId field returned by Speak AI. Options are loaded from the connected account. |

## Run it

**MCP**

```ts
import { Client } from "@modelcontextprotocol/sdk/client/index.js"
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp.js"
import { PipedreamClient } from "@pipedream/sdk"

const pd = new PipedreamClient({
  projectId: process.env.PIPEDREAM_PROJECT_ID!,
  clientId: process.env.PIPEDREAM_CLIENT_ID!,
  clientSecret: process.env.PIPEDREAM_CLIENT_SECRET!,
  projectEnvironment: "production",
})

const accessToken = await pd.rawAccessToken

const transport = new StreamableHTTPClientTransport(
  new URL("https://remote.mcp.pipedream.net/v3"),
  {
    requestInit: {
      headers: {
        Authorization: `Bearer ${accessToken}`,
        "x-pd-project-id": process.env.PIPEDREAM_PROJECT_ID!,
        "x-pd-environment": "production",
        "x-pd-external-user-id": "{external_user_id}", // any stable ID for this user in your system
        "x-pd-app-slug": "speak_ai",
      },
    },
  },
)

const mcp = new Client({ name: "my-agent", version: "1.0.0" })
await mcp.connect(transport)

const { tools } = await mcp.listTools()

// listTools() hands your model this tool's input schema, so it can
// fill the arguments itself:
const result = await mcp.callTool({
  name: "speak_ai-get-transcription",
  arguments: {
    folderId: "Folder ID",
    mediaId: "Media ID",
  },
})
```

**TypeScript**

```ts
import { PipedreamClient } from "@pipedream/sdk"

const pd = new PipedreamClient({
  projectId: process.env.PIPEDREAM_PROJECT_ID!,
  clientId: process.env.PIPEDREAM_CLIENT_ID!,
  clientSecret: process.env.PIPEDREAM_CLIENT_SECRET!,
  projectEnvironment: "production",
})

const result = await pd.actions.run({
  id: "speak_ai-get-transcription",
  externalUserId: "{external_user_id}", // any stable ID for this user in your system
  configuredProps: {
    speak_ai: { authProvisionId: "apn_xxxxxxx" },
    folderId: "Folder ID",
    mediaId: "Media ID",
  },
})

console.log(result)
```

**cURL**

```bash
curl -X POST https://api.pipedream.com/v1/connect/{project_id}/actions/run \
  -H "Content-Type: application/json" \
  -H "X-PD-Environment: production" \
  -H "Authorization: Bearer {access_token}" \
  -d '{
    "external_user_id": "{external_user_id}",
    "id": "speak_ai-get-transcription",
    "configured_props": {
      "speak_ai": { "authProvisionId": "apn_xxxxxxx" },
      "folderId": "Folder ID",
      "mediaId": "Media ID"
    }
  }'
```

---

- App: https://pipedream.com/apps/speak-ai.md · All apps: https://pipedream.com/apps