Block 1 - Window Buffer Memory
- Type / Role
- @n8n/n8n-nodes-langchain.memoryBufferWindow - memoryBufferWindow
- Config choices
- Version 1.3
This workflow is provided as-is. Please review and test before using in production.
: Extract text from image using AI is worth because you need no code. It incorporates Google Gemini 2.0 Flash model for important text extraction from image. If you code without AI, you have to use...
@n8n/n8n-nodes-langchain.memorybufferwindow, n8n-nodes-base.stickynote, n8n-nodes-base.httprequest, n8n-nodes-base.set, n8n-nodes-base.switch, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chainllm, n8n-nodes-base.googlesheets
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Sirisak Chantanate.
Original n8n.io sourceExtract text from image using AI is worth because you need no code. It incorporates Google Gemini 2.0 Flash model for important text extraction from image. If you code without AI, you have to use multiple condition and may cause a lot of bug but with Google Gemini, you don't need any coding and if the Pay Slip is different, Gemini will extract it automatically.
Note: You can change the information by changing your prompt and also Google Sheets Column names relatively.
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 pay slip data with Line Chatbot and Gemini to Google Sheets |
|---|---|
| Complexity | advanced |
| Nodes | 17 |
| Categories | Document Extraction, AI Summarization |
| Author | Sirisak Chantanate |
| Published | 06 Mar 2025 |
Use the JSON export at /data/workflows/3093/3093.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.
: Extract text from image using AI is worth because you need no code. It incorporates Google Gemini 2.0 Flash model for important text extraction from image. If you code without AI, you have to use...
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 Document Extraction, AI Summarization use case.