Block 1 - Get OCR Result
- Type / Role
- n8n-nodes-base.httpRequest - httpRequest
- Config choices
- Version 4.4
This template is designed for operations, finance, and accounting teams that need to automatically process scanned invoices and extract structured data without manual entry. It is ideal for busines...
n8n-nodes-base.httprequest, n8n-nodes-base.wait, @n8n/n8n-nodes-langchain.informationextractor, @n8n/n8n-nodes-langchain.lmchatgooglegemini, n8n-nodes-base.stickynote, n8n-nodes-base.formtrigger, n8n-nodes-base.merge, n8n-nodes-base.compression
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Divyanshu Gupta.
Original n8n.io sourceIt is ideal for businesses handling vendor invoices, reimbursement forms, or bulk document intake.
This workflow uses Sarvam AI Vision model to perform OCR on scanned invoices and extract raw text. The extracted content is then processed using an LLM to identify key invoice fields such as:
The structured data is automatically appended to Google Sheets for tracking, reconciliation, or downstream accounting automation.
1.) Add your Sarvam API key in Credentials. 2.) Connect your Google Sheets account. 3.) Update the target Sheet ID. 4.)Test with a sample invoice PDF.
ask in the Forum!
Happy Hacking!
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Extract invoice data from scanned PDFs to Google Sheets with Sarvam and Gemini |
|---|---|
| Complexity | advanced |
| Nodes | 23 |
| Categories | Invoice Processing, AI Summarization |
| Author | Divyanshu Gupta |
| Published | 28 Feb 2026 |
Use the JSON export at /data/workflows/13779/13779.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
This template is designed for operations, finance, and accounting teams that need to automatically process scanned invoices and extract structured data without manual entry. It is ideal for busines...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Invoice Processing, AI Summarization use case.