How to connect Docparser and OpenAI Responses
Create a New Scenario to Connect Docparser and OpenAI Responses
In the workspace, click the “Create New Scenario” button.

Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Docparser, triggered by another scenario, or executed manually (for testing purposes). In most cases, Docparser or OpenAI Responses will be your first step. To do this, click "Choose an app," find Docparser or OpenAI Responses, and select the appropriate trigger to start the scenario.

Add the Docparser Node
Select the Docparser node from the app selection panel on the right.


Docparser

Configure the Docparser
Click on the Docparser node to configure it. You can modify the Docparser URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the OpenAI Responses Node
Next, click the plus (+) icon on the Docparser node, select OpenAI Responses from the list of available apps, and choose the action you need from the list of nodes within OpenAI Responses.


Docparser
⚙
OpenAI Responses

Authenticate OpenAI Responses
Now, click the OpenAI Responses node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your OpenAI Responses settings. Authentication allows you to use OpenAI Responses through Latenode.
Configure the Docparser and OpenAI Responses Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Docparser and OpenAI Responses Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

JavaScript
⚙
AI Anthropic Claude 3
⚙
OpenAI Responses
Trigger on Webhook
⚙

Docparser
⚙
⚙
Iterator
⚙
Webhook response

Save and Activate the Scenario
After configuring Docparser, OpenAI Responses, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the Docparser and OpenAI Responses integration works as expected. Depending on your setup, data should flow between Docparser and OpenAI Responses (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Docparser and OpenAI Responses
Docparser + OpenAI Responses + Google Sheets: When a new document is parsed in Docparser, the data is sent to OpenAI Responses to categorize it. The results, including the category, are then added as a new row in a Google Sheet.
Docparser + OpenAI Responses + Slack: When Docparser parses a document, the extracted data is sent to OpenAI Responses for analysis. If OpenAI detects a critical issue based on the response, a message is sent to a designated Slack channel to alert the team.
Docparser and OpenAI Responses integration alternatives

About Docparser
Extract data from PDFs, invoices, and forms automatically with Docparser in Latenode. Stop manual data entry. Build workflows that trigger actions based on parsed content. Use Latenode’s no-code tools to filter, transform, and route data to your database or apps, creating scalable document processing pipelines.
Similar apps
Related categories
About OpenAI Responses
Need AI-powered text generation? Use OpenAI Responses in Latenode to automate content creation, sentiment analysis, and data enrichment directly within your workflows. Streamline tasks like generating product descriptions or classifying customer feedback. Latenode lets you chain AI tasks with other services, adding logic and routing based on results – all without code.
Similar apps
Related categories
See how Latenode works
FAQ Docparser and OpenAI Responses
How can I connect my Docparser account to OpenAI Responses using Latenode?
To connect your Docparser account to OpenAI Responses on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Docparser and click on "Connect".
- Authenticate your Docparser and OpenAI Responses accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically summarize parsed documents?
Yes, you can! Latenode lets you pipe Docparser data into OpenAI Responses for summarization. Scale the process with no-code blocks and tailor results using advanced prompting.
What types of tasks can I perform by integrating Docparser with OpenAI Responses?
Integrating Docparser with OpenAI Responses allows you to perform various tasks, including:
- Extracting key data from invoices and categorizing them using AI.
- Parsing customer feedback forms and analyzing sentiment automatically.
- Transforming unstructured reports into structured, actionable insights.
- Automating data entry from scanned documents into databases.
- Generating personalized email responses based on parsed document content.
What types of documents does Docparser process within Latenode?
Docparser handles PDFs, images, and other document formats. Latenode adds the power to automate complex, multi-step workflows.
Are there any limitations to the Docparser and OpenAI Responses integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Document parsing accuracy depends on the quality of the original document.
- Complex AI prompts may require careful tuning for optimal results.
- Large volumes of requests may be subject to API rate limits on both services.