Block 1 - Sticky Note7
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
This n8n template provides a comprehensive suite of ElevenLabs audio processing capabilities through the KIE.AI API. The workflow includes three independent audio processing workflows: speech to te...
n8n-nodes-base.stickynote, n8n-nodes-base.set, n8n-nodes-base.wait, n8n-nodes-base.httprequest, n8n-nodes-base.switch, n8n-nodes-base.code, n8n-nodes-base.manualtrigger
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Muhammad Farooq Iqbal.
Original n8n.io sourceThis n8n template provides a comprehensive suite of ElevenLabs audio processing capabilities through the KIE.AI API. The workflow includes three independent audio processing workflows: speech-to-text transcription, text-to-speech generation, and audio isolation. Each workflow can be used independently or combined to create complete audio processing pipelines.
Use cases are many: Transcribe audio files to text with speaker diarization, convert text to natural-sounding speech audio, isolate and clean audio by removing background noise, create complete audio processing pipelines from transcription to speech generation, automate podcast transcription and audio enhancement, generate voiceovers from text content, clean up recordings by removing unwanted audio elements, create accessible content by converting text to audio, or process audio files in batch for content creation workflows!
The template includes three independent workflows that can be used separately or combined:
1. Speech-to-Text Transcription:
2. Text-to-Speech Generation:
3. Audio Isolation:
All workflows automatically handle different processing states (queuing, generating, success, fail) and retry polling until processing is complete. Each workflow operates independently, allowing you to use only the features you need.
Pro tip: You can use these workflows independently or chain them together. For example, transcribe audio to text, then convert that text to speech with a different voice, or isolate audio first, then transcribe the cleaned audio. Ensure your audio files are hosted on public URLs (HTTPS recommended) for best results. The workflows automatically handle polling and status checks, so you don't need to worry about timing. For text-to-speech, experiment with voice settings - higher stability (0.7-1.0) creates more consistent voice, while higher similarity boost (0.7-1.0) makes the voice more similar to the original.
Workflow Selection: Use only the workflows you need by removing or disabling nodes for transcription, text-to-speech, or audio isolation. Each workflow operates independently.
Trigger Options: Replace the manual trigger with webhook trigger for API-based audio/text submission, schedule trigger for batch processing, or form trigger for user uploads.
Voice Customization (Text-to-Speech): Modify voice, stability, similarity_boost, style, and speed parameters in 'Submit Text for Speech Generation' node to fine-tune voice characteristics. Experiment with different voices (Rachel, Adam, Antoni, Arnold, etc.).
Transcription Options: Adjust diarization and audio event tagging settings in 'Submit Audio for Transcription' node to customize transcription output.
Workflow Chaining: Connect workflows together - transcribe audio to text, then convert that text to speech, or isolate audio first, then transcribe the cleaned audio.
Batch Processing: Add loops to process multiple audio files or text inputs from a list or spreadsheet automatically.
Storage Integration: Add nodes to save transcribed text, generated audio, or isolated audio to Google Drive, Dropbox, S3, or other storage services.
Post-Processing: Add nodes after audio generation to download audio files, convert formats, apply additional audio filters, or integrate with video editing tools.
Error Handling: Add notification nodes (Email, Slack, Telegram) to alert when processing completes, fails, or encounters errors.
Content Management: Add nodes to log transcriptions, track audio processing results, or store outputs in databases or spreadsheets.
Multi-Language Support: For text-to-speech, add language detection or selection before conversion for multilingual content creation.
Audio Quality Enhancement: Chain multiple audio processing steps - isolate audio, then transcribe, or transcribe, then generate speech with different voices.
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Process audio with ElevenLabs via KIE.AI: transcribe, TTS, and isolate audio |
|---|---|
| Complexity | advanced |
| Nodes | 24 |
| Categories | Content Creation, Multimodal AI |
| Author | Muhammad Farooq Iqbal |
| Published | 27 Dec 2025 |
Use the JSON export at /data/workflows/12203/12203.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
This n8n template provides a comprehensive suite of ElevenLabs audio processing capabilities through the KIE.AI API. The workflow includes three independent audio processing workflows: speech to te...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Content Creation, Multimodal AI use case.