Description
n8n-nodes-palatine-speech
> Designed for seamless integration of Palatine Speech API into n8n workflows.
This is an n8n community node that integrates Palatine Speech into your workflows and enables audio processing capabilities such as transcription, diarization, sentiment analysis, and summarization.
Navigation
Supported Operations
Installation
Credentials
Workflow Example
Use Cases
Compatibility
Useful Resources
Keywords
License
Support
> Looking for a Russian version? Here
Supported Operations
For details on each operation, see the Palatine Speech documentation.
- information/supportedlanguages”>Full list of supported languages
TextJSON ObjectJSON Schema- Meeting summaries
- Lecture/webinar notes
- Automatic subtitles for video
- Customer support assistant
- Action items extraction
- Palatine Speech documentation
- n8n Community Nodes guide
- Official n8n GitHub
Transcribe – speech transcription
Speech-to-Text (STT) converts audio/video into a written transcript.
It supports multiple languages and can automatically detect the language spoken in the recording.
It is well-suited for calls, interviews, lectures, and any other recordings where an accurate transcript is required.
Diarize – speaker diarization
Speaker diarization segments audio by speaker and labels speaker turns.
This is useful for meetings and interviews, where maintaining conversation structure matters.
Sentiment Analysis – sentiment analysis
Determines the emotional tone of speech in audio/video (and can also analyze text).
The result is a ranked list of sentiment classes with probabilities, where the first item is the most likely:
Very Negative, Negative, Neutral, Positive, Very Positive.
Summarize – audio summarization
Generates a structured summary from audio/video or pre-existing text.
In addition to built-in scenarios such as meetingsummary, it supports userprompt, allowing you to define custom output structures (bullet points, decisions, action items, risks, Q&A, etc.).
Message to model – OpenAI-compatible chat
Generate a response from the Palatine Speech LLM using a list of messages (system, user, assistant).
You can select the model, tune generation parameters (temperature, max_tokens), and optionally enable thinking for deeper reasoning.
Supported response formats:
Installation
1. In your n8n instance, go to Settings > Community Nodes -> Install
2. Enter: n8n-nodes-palatine-speech
3. Click Install
> Make sure the environment variable N8NCOMMUNITYPACKAGES_ENABLED=true is set.
Credentials
1. Go to Credentials -> + Create
2. Find Palatine Speech API
3. Fill in the fields:
– API Key – available in your Palatine Speech dashboard
– Base URL – default is https://api.palatine.ru
Workflow Example
1. Webhook -> Receive an audio file
2. Config -> Configure parameters
3. Palatine Speech -> Transcribe the file
4. Create record -> Create a table record
5. Telegram -> Send the result to a chat
Use Cases
Use Summarize (meeting_summary) to generate summaries, decisions, and action items grouped by owner and due date.
Custom prompts can be used for additional structure.
Recording -> Transcribe -> full transcript saved alongside materials.
Extract audio -> Transcribe + Diarize -> convert to SRT/VTT.
Use Sentiment Analysis to determine tone and assign ticket priority.
Use Message to model with JSON Schema to extract structured tasks (title, owner, due date, priority) and associated risks.
Results can be sent to Jira / Notion / Asana or team chat.
Compatibility
Tested with n8n v1.39.1 and later.
Useful Resources
Keywords
n8n-community-node-package, n8n, palatine, speech-to-text, transcribe, transcription, stt, audio, ai, automation, voice-to-text, speech-recognition, audio-transcription, audio2text, audio-processing, diarization, speaker-diarization, speaker-segmentation, summarization, audio-summarization, sentiment-analysis, emotion-detection, tone-analysis, llm, chat-completions, openai-compatible, structured-output, json-schema
License
MIT
Support
Need help? Contact our Telegram support bot:
This Week's Favorites in AI Voice
More in AI Voice
