Audio Cleanup & Transcription in n8n

You can run any Audo AI tool inside an n8n workflow—cloud or self-hosted—using n8n's built-in HTTP Request node. There is no custom community node to install, and you can test every endpoint without an API key before switching on whole-file processing.

Endpoints for n8n workflows

Recipe 1: Send a public file URL (JSON body)

When your recording is already at a public HTTPS URL (for example an S3 presigned GET URL, Cloudflare R2, Dropbox, or a webhook payload), send a JSON body:

1. Add an HTTP Request node in n8n.
2. Set Method to POST.
3. Set URL to https://audo.ai/api/try/enhance-voice (or /api/try/remove-noise, /api/try/transcribe, /api/try/media-info).
4. Toggle Send Body on, set Body Content Type to JSON, and set Specify Body to Using JSON:

{
  "url": "{{ $json.audioUrl }}",
  "noise_reduction": 100,
  "auto_volume": true,
  "output_format": "same"
}

1. Under Options → Response, set Response Format to File for audio/video outputs (so the cleaned file sits in n8n's binary data property for the next node), or JSON for /api/try/transcribe and /api/try/media-info.

Recipe 2: Send an n8n binary file (multipart/form-data)

When a previous n8n node downloaded or recorded a file into binary property data (such as Google Drive, S3, Telegram, Slack, or Read/Write Files from Disk):

1. Add an HTTP Request node and set Method to POST.
2. Set URL to https://audo.ai/api/try/remove-noise (or /api/try/enhance-voice / /api/try/transcribe).
3. Toggle Send Body on and set Body Content Type to Form-Data.

4. Under Body Parameters:

   • Add parameter 1: Parameter Type = n8n Binary File, Name = file, Input Data Field Name = data.
   • Add parameter 2 (optional): Parameter Type = Form Data, Name = noise_reduction, Value = 100.
   • For /api/try/transcribe, add Name = speaker_labels, Value = true, and Name = format, Value = json (or srt, vtt, txt).
5. Under Options → Response, set Response Format to File (for audio/video) or JSON (for transcription JSON).

Whole files with an API key (Authorization: Bearer)

Without an API key, requests run on the free tier and process the first part of each file. To process full files in production n8n workflows:

1. Create an API key on the API page (and optionally turn on Auto-refill there so unattended workflows never run out of balance).
2. In your n8n HTTP Request node, set Authentication to Generic Credential Type → Header Auth, with Name Authorization and Value Bearer YOUR_AUDO_API_KEY.
3. Add an Idempotency-Key header set to {{ $execution.id }}-{{ $itemIndex }} so n8n retries never create duplicate jobs.
4. Pass free: false and a positive max_credits cap (1 credit = 1¢, so max_credits: 300 caps the run at $3.00):

{
  "url": "{{ $json.audioUrl }}",
  "noise_reduction": 100,
  "free": false,
  "max_credits": 300
}

Handling 202 Accepted async polling for long episodes

The /api/try/<tool> endpoint waits up to 30 seconds and returns 200 OK with the finished file or transcript when a short recording completes in time. For long podcast episodes, interviews, or videos, use async polling so n8n never times out:

1. HTTP Request (Start Job): Add header Prefer: respond-async. The node immediately returns 202 Accepted JSON containing statusUrl (https://audo.ai/api/try/jobs/<job_id>?t=<token>) and status.
2. HTTP Request (Poll Status): Send GET {{ $json.statusUrl }}&wait=25. Passing wait=25 long-polls on Audo's side for up to 25 seconds until the job finishes or changes state.

3. IF node: Check whether {{ $json.status }} equals succeeded:

   • True branch (`succeeded`): Add an HTTP Request node with GET {{ $json.outputs[0].url }} and Response Format = File to download the finished audio, video, or transcript file.
   • False branch: Check if {{ $json.status }} is queued or running, wait 5 seconds with a Wait node, and loop back to Poll Status. If status is failed, route to your error alert (failed jobs are never charged).

Related docs

• Free API and REST API reference
• Noise Removal & Audio Cleanup API
• Free LUFS Loudness & Media Info API
• Audio MCP Server