AI · 13 — Transcribe (voice → text)
The opposite direction: read the mp3 that demo 12 saved and turn it back into text with the ◈-wired local Whisper (:8970). Point the Read node at any audio file you like. Run demo 12 first so the file exists.
What’s inside
5 nodes — every type links to its full reference page.
| Step | Node | Type |
|---|---|---|
| Run | Manual Trigger | input.manual |
| Read mp3 | Read File | input.read-file |
| Transcribe | AI Transcribe | ai.transcribe |
| Whisper STT (local) | AI Model | ai.model |
| Transcript | Console | utility.console |
Import it
- Studio → Import — paste the JSON below (or the URL
/docs/templates/ai-13-transcribe-voice-text.json). - Or ask the AI Copilot with the JSON pasted after the phrase:
import this workflow json into a new workflow named "AI · 13 — Transcribe (voice → text)" - Any credentials the nodes need are
${credential.…}references — add them once in Admin → Credentials and the template picks them up. Nothing secret ships in a template.
The workflow document (flowdrome.workflow.v1, 5 node types)
{
"schemaVersion": "flowdrome.workflow.v1",
"id": "",
"name": "AI · 13 — Transcribe (voice → text)",
"version": "0",
"status": "draft",
"nodes": [
{
"id": "seed",
"type": "input.manual",
"label": "Run",
"category": "trigger",
"config": {},
"position": {
"x": 0,
"y": 0
}
},
{
"id": "read",
"type": "input.read-file",
"label": "Read mp3",
"category": "io",
"config": {
"path": "./ai-demo-speech.mp3",
"contentType": "auto",
"encoding": "base64"
},
"position": {
"x": 530,
"y": 0
}
},
{
"id": "hear",
"type": "ai.transcribe",
"label": "Transcribe",
"category": "ai",
"config": {
"baseUrl": "http://localhost:8970/v1",
"apiKey": "",
"model": "Systran/faster-whisper-tiny.en",
"audioField": "data",
"language": "",
"outputField": "",
"timeoutMs": 120000
},
"position": {
"x": 1060,
"y": 0
},
"attachments": {
"model": "stt"
}
},
{
"id": "stt",
"type": "ai.model",
"label": "Whisper STT (local)",
"category": "ai",
"config": {
"provider": "generic-url",
"baseUrl": "http://localhost:8970/v1",
"apiKey": "",
"model": "Systran/faster-whisper-tiny.en",
"models": [],
"temperature": 0.2,
"maxTokens": 512
},
"position": {
"x": 1060,
"y": 222
}
},
{
"id": "out",
"type": "utility.console",
"label": "Transcript",
"category": "utility",
"config": {
"message": "Heard: “{{ $json.text }}”"
},
"position": {
"x": 1590,
"y": 0
}
}
],
"edges": [
{
"id": "e0",
"sourceNodeId": "seed",
"sourcePort": "output",
"targetNodeId": "read",
"targetPort": "input"
},
{
"id": "e1",
"sourceNodeId": "read",
"sourcePort": "output",
"targetNodeId": "hear",
"targetPort": "input"
},
{
"id": "e2",
"sourceNodeId": "hear",
"sourcePort": "output",
"targetNodeId": "out",
"targetPort": "input"
}
],
"triggers": [
{
"id": "t0",
"nodeId": "seed"
}
],
"meta": {
"snippets": [],
"source": "template-gallery",
"description": "The opposite direction: read the mp3 that demo 12 saved and turn it back into text with the ◈-wired local Whisper (:8970). Point the Read node at any audio file you like. Run demo 12 first so the file exists."
}
} Generated from the verified demo corpus — this exact document seeds and runs on a fresh Flowdrome. Raw JSON: ai-13-transcribe-voice-text.json.