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Mindee
The API-first platform for building smart document workflows.
What it does
Extracts structured fields from invoices, receipts, and identity documents. Provides a custom API builder for proprietary document types. Offers confidence scores for automated validation and rejection. Splits and classifies multi-page document PDFs automatically. Deploys pre-trained AI models for instant OCR and data extraction.
Why it works
Developer First: Designed with clean SDKs and documentation that allow integration in minutes. Precision: High accuracy rates even on low-quality scans or complex layouts. Scalability: Processes millions of documents monthly with enterprise-grade reliability. No-Code Training: Allows users to train custom models without being data scientists.
Category: Utilities & System Tools
Team Size: 26-100
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As of 2026
Utilities & System Tools
Revenue: $10M-$100M ARR
The API-first platform for building smart document workflows.
Overview
Mindee is an AI-powered document parsing platform that enables developers to extract structured data from any document. Using deep learning models, it accurately parses invoices, receipts, and IDs in seconds, eliminating manual data entry for fintech, logistics, and insurance companies.
Funding status: Funded
Revenue source: API Usage Fees
Customer type: B2B
Pricing: Usage-Based
Tech stack: Python, PyTorch, AWS
Platform: Web • API
Integrations: Zapier, Python, Node.js, n8n, Make
Founder story
Founded in 2018 in Paris by Jonathan Grandperrin. Jonathan recognized that traditional OCR was too rigid and hard for developers to use. He built Mindee to be the 'Stripe of Documents'—a powerful API that handles all the complex AI required to 'understand' documents so developers don't have to.
What it does
- Extracts structured fields from invoices, receipts, and identity documents
- Provides a custom API builder for proprietary document types
- Offers confidence scores for automated validation and rejection
- Splits and classifies multi-page document PDFs automatically
- Deploys pre-trained AI models for instant OCR and data extraction.
Who it's for
- Software developers
- Fintech startups
- Accounting firms
- Operations managers
Why it works
- Developer First: Designed with clean SDKs and documentation that allow integration in minutes
- Precision: High accuracy rates even on low-quality scans or complex layouts
- Scalability: Processes millions of documents monthly with enterprise-grade reliability
- No-Code Training: Allows users to train custom models without being data scientists.
Growth strategies
- Targeted the developer community via extensive open- source SDKs and technical tutorials.
- Focused on high- volume document industries like accounts payable and expenses.
- Utilized a usage- based pricing model that scales with customer growth.
- Partnered with integration platforms like Zapier to reach non- technical business users.
Alternatives
Comparison overview
- Amazon Textract / Google Document AI: Powerful giants that can be more complex to integrate and lack Mindee's specialized focus on developer experience.
- Abbyy: A legacy enterprise leader that is often less agile and more expensive for modern startups.
- Rossum: Very strong in accounts payable but less flexible for a developer building a custom document product.
- Mindee is the top choice for developers who want a modern, flexible API that can be customized for any document type without enterprise friction.