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Spendesk Accelerates Spend Management with Mindee OCR

Spendesk is the leading spend management and procurement platform that transforms company spending. By integrating Mindee’s OCR technology, they now process over 13,000 documents daily—streamlining operations, eliminating manual entry, and powering smarter, faster finance workflows.

the mindee and spendesk logos

Key Results

Here's how our API transformed Spendesk's HR expense management process.

13000

OCR API calls per day

8000

Financial documents processed daily

100%

Of Spendesk users benefit from Mindee’s OCR

About Spendesk

Spendesk is the leading spend management and procurement platform that transforms company spending.

By simplifying procurement, payment cards, expense management, invoice processing, and accounting automation, Spendesk sets the new standard for spending at work. Its single, intelligent solution makes efficient spending easy for employees and gives finance leaders the full visibility and control they need across all company expenses, even in multi-entity structures.

Trusted by thousands of companies, Spendesk supports over 200,000 users across brands such as Soundcloud, Gousto, SumUp, and Bloom & Wild.

Customer Profile

The Challenge

Speed & Scale

Accuracy

Document Versatility

The Challenge

Before partnering with Mindee, Spendesk had tested other OCR solutions but encountered limitations in key areas:

  • Speed & Scale: Spendesk needed a fast, reliable way to extract data from thousands of receipts and invoices each day.
  • Accuracy: Errors in OCR output led to manual fixes and reconciliation issues downstream.
  • Document Versatility: Handling both receipts and invoices within the same workflow required a flexible, high-performing solution.

Our Solution

Spendesk developed a lightweight OCR microservice written in Python that makes HTTP requests to Mindee’s OCR API.

This service is called by Spendesk’s backend, built in TypeScript (Node.js). When a document is uploaded via the Spendesk platform, the backend triggers the OCR microservice, which then forwards the document to Mindee for data extraction.

Thanks to Mindee’s clear documentation and responsive support, the integration was completed within a few weeks and now handles more than 13,000 OCR requests per day.

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Results & Impact

Key Features Leveraged

  • Invoice OCR: Extracts essential fields like invoice number, due date, amounts, VAT rates, and currency.
  • Financial Document OCR: Automatically detects and processes both receipts and invoices in a single endpoint—reducing complexity in Spendesk’s workflows.
  • High Throughput: Capable of consistently processing 8,000 financial documents and 5,000 invoices daily.
  • Flexible Integration: Mindee’s API was integrated via a custom microservice, enabling fast adaptation to Spendesk’s existing stack.

Integration and Impact

Mindee’s OCR solution had a measurable impact on Spendesk’s product and internal workflows:

  • Operational Scale: Over 13,000 daily document extractions without performance bottlenecks.
  • Speed of Extraction: Mindee’s fast response times were a standout feature, supporting real-time processing needs.
  • Workflow Automation: By pre-filling document fields, Spendesk significantly reduced the need for manual data entry—supporting smoother approval and reconciliation flows.
  • Full Platform Benefit: 100% of Spendesk users benefit from Mindee’s OCR capabilities, making it foundational to several features in the platform.
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“Mindee helps our customers save time and manual labor by extracting 13,000 documents per day with fast and accurate extractions.”

Maxime Rihouey

Lead ML Engineer

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