Palatine Speech icon

Palatine Speech

Transcribe audio, diarize speakers, analyze sentiment, generate AI summaries, or use OpenAI-compatible LLM Chat Completions via Palatine. 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

Actions6

LLM → Summarize Text

AI-generated

Summary

Generates an AI summary of provided text using the Palatine Speech API.

Inputs

  • summarizeTask (required) — Selects the summarization mode: 'meeting_summary' (standard format) or 'user_prompt' (custom prompt).
  • text (required) — The text content to be summarized.
  • thinking — Enable extended reasoning mode for improved performance on complex tasks.
  • prompt — Custom prompt to use when 'summarizeTask' is set to 'user_prompt'.
  • polling — Configure polling to wait for the asynchronous AI service to finish processing.

Output shape

a single record containing the summary and metadata

The operation returns the summary in the 'summary' field of the resulting item. The node handles asynchronous processing and polling for completion.

Examples

Example 1: Summarize a meeting transcript using the default meeting summary format.

Resource: LLM, Operation: Summarize Text, Summarize Mode: Meeting Summary, Text: [Paste transcript]

Example 2: Generate a custom executive summary using a specific prompt.

Resource: LLM, Operation: Summarize Text, Summarize Mode: User Prompt, Prompt: 'Summarize the key decisions made and action items required.', Text: [Paste transcript]

Links

Discussion