Latenode

Automate content summarization across web, PDFs, and databases

This Latenode automation template provides an AI-powered content summarization solution that can handle multiple input types, including URLs, raw text, and PDF files.

By leveraging the OpenAI language model, it generates concise, focused summaries that can be used in a variety of use cases, such as research workflows, content curation, document processing, meeting preparation, and social media content creation. The workflow includes a webhook trigger that accepts input parameters, a branching logic to handle different input types, and integration with external services like OCR.space and OpenAI to extract and summarize the content.

Updated May 8, 2026Est. run: 14sEst. cost: $0.0009
How Latenode estimates time and cost

Latenode bills workflow runtime in CPU seconds. The first 10,000 CPU seconds are free each month, then usage follows pay-as-you-go CPU-second pricing. Plug-and-Play (PnP) AI nodes are billed separately—each PnP token is $1 USD, charged pay-as-you-go at vendor cost plus a small processing fee, with no API keys required.

Full pricing — how CPU seconds work →
AI agents & chatbots

Workflow preview

What this template does

  • Extracts text content from URLs, PDFs, and raw input
  • Generates concise summaries of extracted content using OpenAI
  • Handles multiple input types with branching logic
  • Integrates with OCR.space and Webhook for content processing
  • Saves summarized content to designated storage or database

How it works

1
Trigger

Incoming Webhook

The automation is triggered by an incoming webhook that accepts input parameters, such as a URL, PDF file, or raw text.

2
Logic

Route to Appropriate Summarization

The workflow uses branching logic to handle different input types. If the input is a PDF file, it is sent to the OCR.space integration to extract the text. If the input is a URL or raw text, the text is extracted and cleaned using JavaScript.

3
AI

Summarize Text using OpenAI

The extracted text, regardless of input type, is then passed to a JavaScript integration that utilizes the OpenAI language model to generate a concise summary of the content.

4
Action

Return Summarized Content

The summarized content is then returned via a webhook, allowing the user to access the generated summary for their desired use case, such as research workflows, content curation, or social media content creation.

Setup guide

1

Add OCR.space Credential

In the Latenode Credentials panel, add a new credential for OCR.space. Provide the API key required for the OCR.space integration.

2

Add OpenAI Credential

In the Latenode Credentials panel, add a new credential for OpenAI. Provide the necessary API credentials (e.g., API key) required for the OpenAI integration.

3

Configure Webhook Trigger

In the Latenode builder, add a Webhook trigger node. Set the required input parameters, such as input type (URL, text, file), URL, text content, summary length preference, focus topic, and language.

4

Configure Input Handling

In the Latenode builder, add a Switch node to handle the different input types (URL, text, file). Configure the appropriate nodes for each input type, such as HTTP Request (for URL), Function (for text), and Extract From File (for PDF).

5

Configure Content Summarization

In the Latenode builder, add the OpenAI nodes (e.g., LLM Chat) to generate the content summaries. Map the input data to the required parameters and configure the summary length and other relevant settings.

Requirements

OCR.space API key for extracting text from PDF and image files
OpenAI API key for generating content summaries using the language model
Webhook access to trigger the automation flow and pass input parameters (URL, text, or PDF file)
Access to a designated storage or database to save the generated summaries

FAQ

Common questions about this template

Each run uses credits on your Latenode plan. We charge for processing time (1 credit = 30 seconds). Your actual cost depends on your plan and how long the run takes. See pricing plans for plans and how credits work.

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