MINDEE n8n INTEGRATION: AUTOMATE MINDEE WITH N8N
Looking to automate document extraction with Mindee in n8n? The Mindee n8n integration gives you access to 2 powerful actions to automatically extract data from invoices and receipts using Mindee's AI-powered OCR technology.
With this integration, you can seamlessly connect Mindee's document parsing capabilities to your n8n workflows. Upload an invoice or receipt, and Mindee's API instantly returns structured data: amounts, dates, vendor names, line items, and more—all without manual data entry.
In this guide, you'll discover exactly how to connect Mindee to n8n, configure each available action, and build workflows that transform your document processing. Whether you're automating expense tracking, invoice management, or receipt archiving, this integration eliminates hours of tedious manual work.
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Why automate Mindee with n8n?
The Mindee n8n integration provides 2 specialized actions for document data extraction: one for invoices and one for receipts. Each action leverages Mindee's machine learning models to parse uploaded documents and return structured JSON data that you can use anywhere in your workflow.
Significant time savings: Forget about manually typing invoice data into spreadsheets or copying receipt information into your accounting software. A single Mindee action extracts all relevant fields in seconds—amounts, taxes, dates, vendor details, line items—and passes them directly to subsequent nodes. What used to take 5-10 minutes per document now happens instantly.
Improved accuracy: Human data entry is error-prone, especially with high volumes. Mindee's AI consistently extracts data with high precision, reducing costly mistakes in your financial records. Combined with n8n's error handling, you can flag low-confidence extractions for manual review while processing the rest automatically.
Seamless financial workflows: Connect Mindee to over 400+ applications in n8n. For example:
- Extract invoice data → Create entry in QuickBooks or Xero → Notify finance team on Slack
- Parse receipt → Add expense to Airtable → Generate monthly report
- Process supplier invoice → Update inventory in your ERP → Trigger payment approval
How to connect Mindee to n8n?
! 1 stepHow to connect Mindee to n8n?
- 01
Add the node
Mindee uses API Key authentication for both its Invoice API and Receipt API. You'll need to create separate credentials in n8n for each API you plan to use.Basic configuration:Create a Mindee account: Head to mindee.com and sign up for a free account. The free tier includes a generous monthly quota for testing and small-scale use.Get your API keys: In the Mindee dashboard, navigate to "APIs" and select either "Invoice" or "Receipt". Each API has its own API key—copy the one(s) you need.Add credentials in n8n: In your n8n workflow, add a Mindee node (Invoice API or Receipt API). Click on "Credential for Mindee [Invoice/Receipt] API" and select "Create New". Paste your API key and save.Test the connection: Upload a sample document to verify everything works. If the node returns extracted data, your setup is complete.
TIP💡 TIP: Mindee has separate APIs (and therefore separate credentials) for invoices and receipts. Make sure you're using the correct credential type for each node—using an Invoice API key with the Receipt API node will result in authentication errors. Need help with your setup? Our n8n agency can assist you.- 01
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Our team will get back to you in minutes.
Mindee actions available in n8n
01 Action 01Mindee Invoice API - Predict
The Mindee Invoice API Predict action analyzes uploaded invoice documents and extracts structured data including supplier information, invoice numbers, dates, line items, totals, and tax amounts. This is the go-to action for automating accounts payable workflows and invoice processing pipelines.
Key parameters to configure:
- Credential for Mindee Invoice API: A required dropdown where you select your Mindee Invoice account credentials. Make sure you've set up the correct API key for the Invoice API specifically.
- Resource: This dropdown is set to "Invoice", indicating the API will process invoice documents. This determines which Mindee model analyzes your file.
- Operation: Set to "Predict", which instructs Mindee to perform AI-powered extraction on the provided document. This is the primary operation for getting structured data out of your invoices.
- Input Binary Field: A text field where you specify the name of the binary data containing your invoice file. The default is "data", but if your previous node outputs the file under a different field name (like "attachment" or "file"), update this accordingly.
- RAW Data: An optional toggle (off by default). When enabled, returns the complete raw API response from Mindee, useful for debugging or accessing confidence scores and bounding box coordinates.
Typical use cases:
- Automatically extract vendor name, invoice total, and due date → create payment record in your ERP
- Parse incoming invoice emails via Gmail integration → populate a Google Sheet for finance review
- Process bulk invoices from a folder → generate summary report with totals
02 Action 02Mindee Receipt API - Predict
The Mindee Receipt API Predict action processes receipt images and PDFs to extract purchase data including merchant name, date, total amount, taxes, and payment method. Perfect for expense management, travel reimbursements, and retail analytics.
Key parameters to configure:
- Credential for Mindee Receipt API: A required dropdown to select your Mindee Receipt account credentials. This is separate from the Invoice API credentials—each uses its own API key.
- Resource: Set to "Receipt", indicating this action processes receipt documents specifically. Mindee's receipt model is optimized for the shorter, often lower-quality format of retail receipts.
- Operation: Set to "Predict", triggering Mindee's AI analysis to extract all available fields from the receipt.
- Input Binary Field: Specifies which binary field contains the receipt file to upload. Default is "data". If you're pulling receipts from email attachments or a file storage node, match this field name to your upstream node's output.
- RAW Data: Optional toggle to return the full API response. Useful when you need confidence levels for each extracted field or want to implement quality checks before processing.
Typical use cases:
- Employee uploads receipt photo → extract merchant and amount → create expense entry in your accounting software
- Parse receipts from email inbox → categorize by vendor → update budget tracking spreadsheet
- Process retail receipts → extract item-level data → feed into inventory analytics
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Frequently asked questions
Is the Mindee n8n integration free?
The n8n integration itself is free and included in all n8n plans, including the self-hosted community edition. However, Mindee has its own pricing model. Mindee offers a free tier with a limited number of API calls per month (typically 250 pages for invoices and receipts), which is perfect for testing and low-volume use. For higher volumes, you'll need a paid Mindee plan. Check Mindee's current pricing page for exact quotas, as these can change. The good news: you can start building and testing your workflows without any upfront cost.What document formats does Mindee accept in n8n?
Mindee's APIs accept most common document formats including PDF, JPEG, PNG, TIFF, and WebP. For best results with the Invoice API, use PDF files as they typically provide higher text quality. For receipts, JPEG and PNG photos from smartphones work well—Mindee's models are trained to handle the lower quality and varied angles common in mobile receipt photos. In n8n, ensure your upstream node (HTTP Request, Email, Dropbox, etc.) outputs the file as binary data before passing it to the Mindee node.How accurate is Mindee's data extraction in n8n workflows?
Mindee reports high accuracy rates for standard invoice and receipt fields—typically above 95% for clearly printed documents. However, accuracy depends on document quality: handwritten notes, heavily creased receipts, or unusual layouts may yield lower confidence scores. Pro tip: enable the "RAW Data" toggle to access confidence scores for each extracted field, then add an IF node in n8n to route low-confidence extractions to a manual review queue while processing high-confidence results automatically.
