Mindket

Photo and audio to talking avatar video

Newversion 1 · updated

Overview

An n8n workflow that turns one portrait and one audio recording into a talking avatar video. A form takes the two files, RunningHub stores them and renders the clip, and n8n checks the task until it is done and downloads the video.

Photo and audio to talking avatar video is an n8n workflow in the Marketing & SEO category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page or copy its JSON, then import it into an n8n canvas. Nothing runs until you activate it in n8n.

At a glance

Runs in
  • n8n Cloud: import the file into a new workflow there
  • Your own n8n server: the same file and steps
  • The form’s address: send it to the people who provide the portraits and recordings
  • Anything after downloadVideo: add a node there to save the clip to a drive or mail it on

Platform

Connects 1 app

How it works

Trigger

Form upload

It starts when someone sends the Create Your AI Talking Avatar form with:

  • An image, as .jpg, .jpeg, .png or .webp
  • An audio file, as .mp3, .wav or .flac

Actions

  1. Sends the image and the audio file to RunningHub, one call each
  2. Starts a RunningHub task from the two stored files, with a center crop
  3. Waits a minute, then checks the task every 15 seconds while it is queued or running
  4. Asks for the finished video’s address and downloads the file

Result

A talking avatar video, downloaded into the run from one portrait and one recording

Integrations

What you need before you start.

RunningHub

AI video

Stores both files, runs the avatar task on its own workflow, reports the task’s status and hands back the video’s address.

NeedsRunningHub API key

Workflow check

Checked by Mindket on 13 Nov 2026

Steps
14 steps, starting on a form
AI
No step calls an AI model
Sign-ins
Signs in to: RunningHub
API keys
No API key is left in the file; 1 blank in it for your own key
Step types
Mindket’s checker reads all 8 of its step types

Read from the workflow’s file, not from a run.

About

What it is

This n8n workflow turns one portrait and one audio recording into a talking avatar video. Fourteen nodes run in a short chain. A form takes the two files and RunningHub stores both, then a task built from them runs on a RunningHub workflow while n8n keeps asking for its status until the video is ready. The last node downloads the clip.

Who it suits

Creators and small teams who want a face that speaks their recording, without filming anyone. Skip it if you want to pick the voice, the model or the style inside n8n. The file hands the job to one fixed RunningHub workflow, so changes to the avatar itself are made on RunningHub’s side.

Who uses it, and how
IndustryWho uses itHow they use itExample
Social videoCreators who post short clipsPair a portrait with a voice-over and post the result as a Reel or a ShortA creator records a script once and gets a speaking clip from a single portrait.
Courses and trainingTeachers and trainersGive a recorded lesson a presenterA trainer uploads a lesson recording with a portrait and gets a clip with a face on it.
Small businessOwners of shops and local servicesMake a greeting from a photo and a recorded welcomeA shop owner turns a recorded welcome into a clip for the site’s home page.
Customer onboardingSupport and success teamsSend each new customer a short welcome clipA team records one welcome and reuses it with the portrait of each account manager.
AgenciesVideo producersTry a presenter on screen before booking a shootA producer shows a client a talking draft of the presenter before the shoot is booked.

Where to use it

Any n8n that can reach runninghub.ai will run it. The form is the front door, so you share its address with whoever supplies the files.

  • n8n Cloud: import the file into a new workflow there
  • Your own n8n server: the same file and steps
  • The form’s address: send it to the people who provide the portraits and recordings
  • Anything after `downloadVideo`: add a node there to save the clip to a drive or mail it on

Setup

Get it saves a zip with workflow.json and Mindket’s setup notes in your downloads folder. Its author puts setup at about 5 minutes.

What you need first
NeedDetail
n8nOn n8n Cloud or on a server of your own
RunningHubAn account, and the API key from it
  1. In n8n, create a workflow, open its menu, choose Import from File and pick workflow.json.
  2. Open API Setup and replace YOUR_RUNNINGHUB_API with your RunningHub API key.
  3. If you want, open On form submission and change the form’s title or the file types it accepts.
  4. Save, open the form’s test address and send a portrait and an audio file through it.
  5. Press Publish, then share the form’s production address.

How to use it

Open the form, attach a portrait and an audio file, and send them. Both fields are required. Each takes one file. The image can be .jpg, .jpeg, .png or .webp, and the audio .mp3, .wav or .flac. The form confirms at once. The run goes on behind it: upload, task, status checks, download. The video is saved in the run’s execution data, so open the run under Executions to get it.

What to change for a different result
To changeWhere
Avatar cropcrop in the nodeInfoList of createTask, set to center in the file
First waitWait, one minute before the first status check
Time between checksWait1, 15 seconds
Accepted filesThe two file fields of On form submission
Which RunningHub workflow runsworkflowId in createTask, with the node numbers beside it

Example

A shop owner uploads a portrait of the shop’s mascot and a recorded greeting as an .mp3. After the minute’s wait and a few status checks, downloadVideo holds a video of the portrait speaking the recording.

For newcomers and experts

If you are new. n8n draws a workflow as boxes joined by lines, and each box, a node, does one job. Here most boxes talk to one outside service, RunningHub, and the key you paste into API Setup is how it knows the calls are yours. Send a test through the form first. Each node then shows what it received and sent, which is where a wrong key or a rejected file type turns up.

For experts. Every call goes to one of four RunningHub endpoints, and your key travels in each request’s body.

The four RunningHub calls
NodeEndpointSendsGets back
uploadImage, uploadAudio/task/openapi/uploadThe key and one file, as multipart form dataThe stored file’s fileName
createTask/task/openapi/createThe key, workflowId and a nodeInfoListA taskId
checkStatus/task/openapi/statusThe key and the taskIdFAILED, SUCCESS, QUEUED or RUNNING
getOutput/task/openapi/outputsThe key and the taskIdThe video’s fileUrl

Both uploads run side by side. The nodes Merge and Aggregate fold their replies into one item. Then createTask puts the image’s name in node 12 of the RunningHub workflow, the audio’s in node 19 and the crop in node 14. After that, Switch reads the status. SUCCESS goes to getOutput, QUEUED and RUNNING loop back through Wait1 to checkStatus, and FAILED has no line out of the switch.

Good to know

The loop has no limit, and a failed task ends the run without a word.

  • Billing: RunningHub bills each task to your account
  • No failure path: output 0 of Switch, for FAILED, goes nowhere, so look at the run in Executions when no video appears
  • No retry limit: a task that stays queued or running is checked every 15 seconds until it finishes
  • Open form: once the workflow is published, anyone with the form’s address can start a run on your RunningHub account
  • Your key: it sits as plain text in API Setup, so anyone who can open the workflow can read it
  • Your files: the portrait and the recording are uploaded to RunningHub, and the voice and face in them should be ones you have the right to use
  • Credentials: the JSON holds none, and nothing from its author’s account

README and files

README

Photo and audio to talking avatar video

An n8n workflow. Send one portrait and one audio recording through its form, and it returns a talking avatar video made
on RunningHub.

What is inside

  • workflow.json: the workflow as n8n exports it, 14 nodes. It holds no credential. Your RunningHub key goes into one
    node, API Setup.
  • README.md: these notes.

Before you start

  • An n8n instance, on n8n Cloud or your own server.
  • A RunningHub account and its API key.

Set it up

  1. In n8n, create a workflow, open its menu and choose Import from File. Pick workflow.json.
  2. Open API Setup and replace YOUR_RUNNINGHUB_API with your RunningHub API key. Every HTTP Request node reads it
    from there.
  3. Optional: open On form submission to change the form's title or the file types it accepts. The file takes .jpg,
    .png, .jpeg and .webp for the image, and .mp3, .wav and .flac for the audio.
  4. Save, open the form's test address and send a portrait and an audio file through it.
  5. Press Publish, then share the form's production address.

The form confirms at once. The run goes on behind it, and the finished video is saved in the run's execution data, so
open the run under Executions to get it. Add a node after downloadVideo to save the clip to a drive or send it on.

How it runs

  1. API Setup holds the key, and Code in JavaScript passes the form's two files on.
  2. uploadImage and uploadAudio send one file each to RunningHub, side by side. Merge and Aggregate fold the two
    replies into one item.
  3. createTask starts a task on a RunningHub workflow, giving it the image's stored name in node 12, the audio's in
    node 19 and a crop of center in node 14.
  4. Wait pauses one minute, then checkStatus asks for the task's status. Switch sends SUCCESS to getOutput, sends
    QUEUED and RUNNING through Wait1 (15 seconds) back to checkStatus, and leaves FAILED unconnected.
  5. getOutput asks for the result's address and downloadVideo fetches the file.

| Node | RunningHub endpoint | Sends | Gets back |
|---|---|---|---|
| uploadImage, uploadAudio | /task/openapi/upload | the key and one file | the stored file's fileName |
| createTask | /task/openapi/create | the key, workflowId, nodeInfoList | a taskId |
| checkStatus | /task/openapi/status | the key and the taskId | FAILED, SUCCESS, QUEUED or RUNNING |
| getOutput | /task/openapi/outputs | the key and the taskId | the video's fileUrl |

Change the result

  • Crop: crop in the nodeInfoList of createTask, set to center.
  • Timing: Wait (one minute before the first check) and Wait1 (15 seconds between checks).
  • Which RunningHub workflow runs: workflowId in createTask. The node numbers beside it belong to that
    workflow, so change them if you point it at another.
  • The form: rename the fields or change the accepted file types in On form submission.

Good to know

  • RunningHub bills each task to your account.
  • Output 0 of Switch, for FAILED, goes nowhere. When no video appears, open the run under Executions.
  • Nothing limits the status loop: a task that stays queued or running is checked again and again until it finishes.
  • Once the workflow is published, anyone with the form's address can start a run on your RunningHub account.
  • The key sits as plain text in API Setup, so anyone who can open the workflow can read it.
  • The portrait and the recording are uploaded to RunningHub. Use faces and voices you have the right to use.
Files
README.md  3 KB
workflow.json  11 KB

2 files, 15 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-03

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