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.
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 →Workflow preview
The automation is triggered by an incoming webhook that accepts input parameters, such as a URL, PDF file, or raw text.
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.
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.
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.
In the Latenode Credentials panel, add a new credential for OCR.space. Provide the API key required for the OCR.space integration.
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.
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.
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).
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.
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