Mindee
Document extraction API that turns invoices, receipts, IDs and other files into structured JSON.
Linked from mindee.com · checked 29 Oct
- Tool type
- Document extraction API and platform
- Made for
- Developers, finance and HR teams
- Runs on
- Web platform and REST API
- Models are set up in the web platform and called through the REST API from SDKs or no-code tools.
What it does
Mindee takes in photos, scans, PDFs and handwritten files in any language and returns structured JSON with typed, normalised values. Each extracted field can include a confidence score and bounding-box coordinates showing where it sits on the page. The platform also offers classification, splitting of multi-page files, and edge detection for several documents photographed together.
People mostly use Mindee to pull fields from recurring document types such as invoices, receipts, passports, resumes, bank statements and driver licences, either from prebuilt models or from a custom data schema. Teams can test a model on their own documents in the web platform before writing code, then call the API from an SDK or a no-code connector. The distinguishing point in the pages is determinism and traceability: the same document returns the same result, and each value can be traced back to its location for audit.
Mindee suits finance, accounting, HR and onboarding teams, and developers building document capture into software. Creating a model needs no machine learning expertise, but production use requires basic development skills or a no-code tool. Access needs a platform account and API key, and pricing is credit-based with plans that include credit allowances. Limitations include a credit system where confidence-scored pages cost more, and Enterprise terms are custom.
What it can do
- Create custom extraction models from prebuilt templates or your own data schema, with no training step required
- Extract fields from PDFs, JPEG, PNG, TIFF, HEIC and WEBP files in any language
- Return confidence scores and bounding-box coordinates for each extracted value
- Classify uploads by document type and split multi-page PDFs into separate documents
- Detect edges to isolate several documents photographed on one page
Works with
- Zapier
- Make
- n8n
- Python SDK
- Node.js SDK
- Java SDK
- .NET SDK
- PHP SDK
- Ruby SDK
Before you choose
- Pricing is credit-based: 1 page is 1 credit, and a page with a confidence score costs 1.5 credits.
- Unused credits expire at the end of each subscription period and do not carry over.
- Exceeding the credit allowance triggers automatic charges at the plan unit rate plus a 20% overage surcharge unless you upgrade.
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Get started
No credit card required for the trial; an API key is created in the platform for production calls.
- Sign up for a Mindee account, then create a model from a catalog template or from scratch.
- Run at least one Live Test on a sample document and adjust the data schema if results are off.
- Create an API key in the platform and send a file or URL using an SDK or the command line tools.
Plans and prices
Prices in USDCredit-based subscriptions. Starter lists 44/month or 529/year (annual billing saves 10%). Pro lists 116/month or 1393/year. Enterprise is custom pricing on annual contracts with 500,000+ credits minimum. Overage is charged at the plan unit rate plus a 20% surcharge. The 14-day trial is time-limited, not a permanent free tier.
- All core models
- Community support
- Unlimited seats
- Live chat support
- Custom security and compliance
- Dedicated account manager
14-day free trial.
Source: mindee.com/pricing, checked 29 Oct 2026. Prices can change; check before you buy.
Sources for this overview
Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.
- AI Document Processing API - Mindee ↗www.mindee.com
- Quick Start | Mindee ↗docs.mindee.com
- OCR API Pricing - Mindee ↗www.mindee.com
- Contact Sales ↗www.mindee.com
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How we research- Company website
- mindee.com: product, pricing and policy pages
- YC directory mirror
- Batch and company name
- Human review
- Checked by a person
- manual_review
Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.