Receipt scanning & analysis workflow
Effortlessly manage your expenses by automatically converting receipt uploads in Google Drive into structured data using AI and OCR technology. The workflow identifies key financial details like vendor names and tax amounts before neatly organizing them into a central Google Sheet for better tracking.
Run this with your team's AIWhat This Recipe Does
Transform your Google Drive into an intelligent data processing hub with this AI-driven document extraction automation. Manually transcribing information from PDFs, images, and documents into spreadsheets is a slow, error-prone process that drains team productivity. This solution eliminates that bottleneck by automatically monitoring your Google Drive folders for new uploads. Once a file is detected, the system uses Mistral AI to read the document, understand its context, and extract specific data points based on your requirements. The structured information is then immediately synced to Google Sheets, providing your team with a real-time database of your documents. By automating the transition from unstructured files to organized data, you reduce human error, accelerate processing times, and allow your staff to focus on analysis rather than data entry. Whether you are managing high volumes of paperwork or simply looking to organize your digital archives, this automation provides a scalable way to handle business documentation with precision and speed.
What your team gets
Forms and dashboards, so it is not a script only one person understands
Runs on your schedule in the cloud, so it does not stop when a laptop closes
Endpoints, so the rest of your stack can trigger the same work
Google Drive, Mistral AI, Google Sheets connected for the team, not per person
How It Works
- 1
Open the recipe and connect your accounts
Connect Google Drive and Mistral AI once, in your team cloud, and nobody has to do it again on their own machine
- 2
Tell your own agent what is different about your process
Claude, ChatGPT, Cursor, whichever your team already uses. It adapts the recipe to how you actually work
- 3
Run it, then leave it running
It lives in your team cloud, so it keeps going after you close the laptop and every teammate's AI can use it
Who Uses This
- Finance teams use this to automatically extract invoice numbers, dates, and total amounts from vendor bills into a centralized tracking sheet.
- Human Resources departments use this to parse candidate resumes uploaded to a folder, capturing contact details and key skills for easier screening.
- Operations managers use this to track shipping documents or receipts, ensuring all logistical data is recorded without manual intervention.
Frequently Asked Questions
What types of documents can this automation process?
The system can process a wide variety of file formats including PDFs, scanned images, and text documents stored in your Google Drive.
Can I customize which specific information the AI extracts?
Yes. You can define the exact data points you need, such as dates, names, currency amounts, or specific clauses, and the AI will look specifically for those items.
Do I need to manually trigger the extraction for every new file?
No. The automation monitors your selected Google Drive folder and triggers automatically the moment a new file is uploaded or moved there.
How accurate is the AI at reading handwritten or low-quality scans?
Mistral AI utilizes advanced language modeling to interpret text accurately, though results are most reliable with clear digital documents or high-quality scans.
Coming from n8n?
This recipe uses nodes like GoogleDriveTrigger, HttpRequest, MistralAi, Langchain.agent and 4 more. On Runwork, you don't need to learn n8n's workflow syntax. Describe what you want to your own AI agent in plain English.
Based on n8n community workflow. View original
Related Recipes
✨🔪 Advanced AI powered document parsing & text extraction with Llama Parse
Manual data entry from complex documents is a significant bottleneck for growing businesses. This automation eliminates that friction by using advanced AI and Llama Parse to extract structured data from PDF attachments and emails automatically. When a document arrives in your Gmail inbox, the system immediately processes the file, identifies key information, and categorizes it without human intervention. Instead of manually copying details into spreadsheets, the automation pushes verified data directly to Google Sheets and notifies your team via Telegram. By moving from manual processing to an AI-driven workflow, you ensure higher data accuracy, faster response times, and a centralized record of all incoming documents in Google Drive. This solution transforms a labor-intensive administrative task into a seamless, background process, allowing your team to focus on high-value analysis rather than repetitive data entry.
Extract data from resume and create PDF with Gotenberg
This automation transforms Telegram into a powerful mobile document processing hub. By leveraging AI-driven extraction, it allows team members to send documents, receipts, or invoices directly to a Telegram bot and receive structured data or converted files in return. Instead of manually entering information from attachments or switching between multiple software platforms, this workflow handles the heavy lifting of file conversion and data extraction automatically. It streamlines the bridge between mobile communication and back-office administration, ensuring that critical information trapped in documents is digitized and processed the moment it is received. This reduces human error, eliminates data entry bottlenecks, and accelerates business response times. Whether you are in the field or in the office, this solution provides a seamless way to capture and process business intelligence on the go, turning a simple messaging app into a sophisticated document management tool.
Process documents & build semantic search with OpenAI, Gemini & Qdrant
The Store Files in Qdrant CLOUD Fairwork automation streamlines the process of transforming unstructured business documents into searchable, AI-ready data. Manually indexing files for custom AI models or internal knowledge bases is time-consuming and prone to error. This workflow automates the entire pipeline: it captures files via a secure form or Google Drive upload, processes the content, and stores it directly in your Qdrant vector database. By automating the ingestion of company documents, policies, and research, you ensure your AI applications always have access to the most current information. This eliminates manual data entry, reduces the technical overhead of maintaining a vector store, and allows your team to focus on extracting insights rather than managing infrastructure. The result is a centralized, high-performance repository that powers intelligent search, customer support bots, and internal research tools with minimal human intervention.
Extract invoice data from Slack PDFs to Google Sheets with AI
This automation streamlines the process of extracting data from documents and centralizing it for team collaboration. Triggered directly from Slack, the workflow automatically pulls information from uploaded files, processes the content using intelligent extraction, and logs the results into Google Sheets. Instead of manually downloading attachments, reading through files, and copying data into spreadsheets, your team can simply share a document in a dedicated channel to trigger an immediate update. This eliminates data entry errors and ensures that critical information—such as invoice details, contract terms, or application data—is instantly accessible to everyone who needs it. By bridging the gap between communication tools and your system of record, this automation transforms Slack from a messaging platform into a powerful data entry portal, saving hours of administrative work every week and accelerating response times for document-heavy business processes.
Run this with the AI your team already uses
Your agent adapts it, your team cloud keeps it running, and everyone's AI can find it.
Open this recipe in Runwork