AI Summarizer

Type: ai_summarizer • Category: flow • Tags: ai, summarization, content, analysis, nlp

Description

AI-powered text summarization for content condensation

Parameters

Name	Type	Description	Required	Default
content	string	The text content to summarize	no
summaryType	string	Type of summary to generate	no	"concise"
maxLength	number	Maximum word count for the summary	no	200
focusAreas	string	Specific areas to focus on (optional, e.g., 'financial metrics, risks')	no

Help

AI Summarizer Worker

Condenses long texts, reports, and content into concise, meaningful summaries using advanced AI models. Perfect for processing large volumes of information and extracting key insights.

How it works:

1. Input your content (text, reports, articles)
2. Choose summary type and length preferences
3. AI analyzes and condenses the content
4. Receive a focused summary preserving key information

Summary Types:

• Concise: Brief, focused summary of main points
• Detailed: Comprehensive summary with context and details
• Bullet Points: Structured summary using bullet points
• Executive: Decision-maker focused summary
• Financial: Emphasis on financial data and implications

Financial Applications:

• Report Summarization: Condense quarterly earnings reports, analyst notes
• News Aggregation: Summarize multiple financial news articles
• Research Synthesis: Combine and summarize research reports
• Meeting Notes: Create summaries of earnings calls and investor meetings
• Risk Reports: Summarize complex risk assessment documents

General Applications:

• Content Processing: Summarize blog posts, articles, documents
• Email Digestion: Condense long email threads
• Research Papers: Extract key findings and conclusions
• Meeting Summaries: Create concise meeting notes

Output: Returns {"summary": "condensed_text", "original_length": X, "summary_length": Y, "summary_type": "type"}

Tips:

• Specify focus areas for targeted summaries (e.g., "financial metrics, risks, outlook")
• Choose appropriate summary type based on your needs
• Use shorter max lengths for quick overviews, longer for detailed analysis
• Test with sample content to optimize summary quality