Mindee — AI document processing API to extract structured JSON from any document. Best for Automating accounts payable invoice processing with line-item extraction, Customer onboarding workflows requiring ID and proof-of-address parsing, Expense management automation from receipts and bank statements. Free to start; paid plans from $44/mo.
Automating accounts payable invoice processing with line-item extractionCustomer onboarding workflows requiring ID and proof-of-address parsingExpense management automation from receipts and bank statementsLogistics and supply chain document reconciliation (POs, delivery notes)Healthcare claims processing by extracting data from medical documents
Not ideal for
Teams needing a completely free OCR solution for unlimited documentsUsers requiring on-premise deployment or air-gapped environmentsProjects needing unstructured document summarization or natural language Q&AVery low-volume or one-off document extraction tasks (trial limits apply)Organizations that need tight integration with a specific ERP like SAP without custom development
Mindee delivers a solid, no-training OCR API with strong extraction accuracy for common documents like invoices and receipts. Its continuous learning and RAG support are differentiators, but pricing transparency is limited; the 14-day free trial is a good starting point. Best for teams needing reliable structured data without building custom models.
Mindee stands out as a pragmatic choice for businesses that want to automate document data extraction without the hassle of training custom models. Its key strength is the 'zero model training required' promise, which lowers the barrier for non-ML teams. The API handles a wide range of documents—invoices, receipts, passports, resumes, bank statements—and returns structured JSON, making it easy to integrate into existing workflows. The continuous learning feature, leveraging RAG, is a nice touch for improving accuracy on edge cases over time. However, Mindee is not a free tool; it offers a 14-day free trial, but pricing details are not explicitly listed on the page, which could be a turn-off for budget-conscious buyers. When comparing to alternatives like Docsumo or LLM-based extraction, Mindee likely offers better reliability for structured fields (e.g., line items on invoices) but may lack the flexibility of open-ended parsing. If you need to process high volumes of standardized documents with minimal setup, Mindee is a strong contender. But if you're dealing with highly variable formats or need an on-premise solution, you may want to check competitors. One caveat: the page mentions SDKs and no-code integrations but doesn't list specific pre-built connectors, so expect to do some custom integration work. Overall, Mindee is a solid choice for mid-market companies looking to streamline document-heavy processes like AP and onboarding.
Skip Mindee if Skip Mindee if you need a free, unlimited OCR solution for occasional one-off document digitization without any API setup.
Latest from Mindee
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Viability Score
80/100
Safe Bet
How likely is Mindee to still be operational in 12 months? Based on 6 signals including funding, development activity, and platform risk.
funding runway
80
website health
90
github activity
50
category mortality
70
wrapper dependency
100
hyperscaler overlap
80
About Mindee
Mindee is an AI-powered document processing API that extracts structured JSON data from any document type, including photos, PDFs, and handwritten files. Designed for developers and business teams, it automates workflows such as accounts payable, customer onboarding, and expense management with high reliability—no model training required. Key features include high-precision OCR extraction, automatic splitting of multi-page documents, document classification, and cropping of multi-document scans. The platform also offers continuous learning via RAG to handle edge cases, granular confidence scores, and data retention controls for compliance. Mindee supports multiple languages and alphabets, and integrates via SDKs, no-code tools, or manual API calls. Compared to LLM-based alternatives or Docsumo, Mindee emphasizes a developer-first approach with zero training overhead and a focus on structured output for enterprise workflows.
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Key Features
AI-powered OCR data extraction from any document format
Automatic splitting of multi-page documents into separate files
Document classification to route files to specific categories
Cropping of multi-document scans into individual items
Continuous learning via RAG to handle edge cases
Granular confidence scores for extracted fields
Precise bounding boxes for spatial data verification
Localized processing zones for compliance
Data retention controls with 'don't store' policy
Support for multiple languages and alphabets
No model training required for standard documents
Real-world workflow fit
Concrete scenarios for the personas Mindee actually fits — and what changes day-one when you adopt it.
Developer at a fintech startup
Automating extraction of line items from supplier invoices for accounts payable
Outcome: Sends invoice PDFs via API, receives structured JSON with totals and line details, reducing manual data entry by 90%.
Operations manager at a logistics firm
Digitizing shipping documents and bills of lading for faster processing
Continuously improve extraction accuracy by correcting errors via RAG.
Models Under the Hood
Proprietary pre-trained models
Limitations
Free trial limited to 14 days; thereafter credits are required with overage fees. RAG is limited to 20 documents on Pro plan and unlimited on Business/Enterprise. Custom model training may require technical expertise and additional credits.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Annual total
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Contact sales for a quote
Effective monthly
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Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Mindee tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Starter
€44/month (annual)
Ideal for
Small businesses or individual developers testing document extraction with up to 500 pages per month and community support.
What this tier adds
Starting tier with 500 credits monthly, community support, no RAG or polygons.
Pro
€179/month (annual)
Ideal for
Growing teams processing up to 2,500 pages monthly who need live support and RAG for up to 20 documents.
What this tier adds
Adds 2,500 credits, live chat support, RAG (20 documents), polygons, and boosted accuracy compared to Starter.
What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.
•Overage charges: Starter €0.05/credit, Pro €0.04/credit, Business €0.035/credit
•Annual billing required for listed monthly prices; monthly billing at higher rates
•RAG feature limited to 20 documents on Pro plan, requires Business for unlimited
Where the pricing makes sense
The company stage and team size where Mindee's pricing actually pencils out — and where peers do it cheaper.
Mindee's pricing is credit-based, starting at €44/month for 500 credits. This is competitive for moderate-volume users, but heavy processors (10k+ credits/month) may find per-credit costs lower on Business (€0.035/credit) or Enterprise custom pricing. Compared to Amazon Textract or Google Document AI, Mindee offers simpler, transparent pricing without per-document-type variations. However, the lack of a free perpetual tier may deter small-scale or evaluation users.
Setup time & first value
How long it actually takes to get something useful out of Mindee — broken out by persona, not the marketing-page minute.
Developers can integrate Mindee's API in under an hour using the quickstart guide and SDKs (Python, JS, Java). No-code integration via Zapier takes minutes. First extraction results are available immediately after API call; custom model training may require a few hours to prepare and test documents.
Switching to or from Mindee
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Migrating in
→From manual data entry: Use Mindee's API to replace human keying, with batch uploads and webhook callbacks.
→From Amazon Textract: Adapt your application to call Mindee's REST API; SDKs simplify transition.
→From Google Document AI: Switch by updating API endpoints and mapping field names; Mindee's pre-trained models cover similar document types.
Migrating out
↗To Docsumo: Export your custom models and training data as JSON; Docsumo offers similar API-based extraction.
↗To Amazon Textract: If you need AWS-native integration, port your extraction logic to Textract's API; Mindee's confidence scores map to Textract's confidence.
Recent material changes
Pricing, brand, ownership, or deprecation changes worth knowing before you commit. Most-recent first.
•Continuous learning (RAG) feature introduced, enabling model improvement from user corrections.
•Annual billing option added, offering 10% discount on monthly rates.
•New enterprise tier with custom SLAs and dedicated account manager.
•Credit pricing structure updated with clear per-credit overage rates per plan.
