Structured data extraction
Turn document inputs into structured JSON with AI-powered extraction, so teams can route document data into downstream systems without manual transcription.
Mindee
Freemium
AI document processing API for extracting and routing data
What is Mindee?
Mindee is an AI document processing API that extracts structured data from documents and images. The product is designed for teams that need to automate capture from invoices, receipts, IDs, bank statements, resumes, and other common business documents without building a model from scratch.
The platform focuses on turning unstructured files into usable data for downstream systems. Source pages describe outputs such as structured JSON, line items, totals, dates, identities, and other document fields, along with workflow tools for splitting, classifying, cropping, and chaining models in one API call.
What can Mindee do?
Broad document input support
Use the same platform on photos, PDFs, handwritten files, and multi-page documents, with support for any alphabets and languages noted on the homepage.
Pre-processing workflows
Apply Extract, Split, Classify, and Crop workflows to break batches into separate records, route files by type, and isolate multiple documents captured on a single page.
Chained processing
Chain pre-processing and extraction models in a single API call to handle manipulation, detection, isolation, and extraction in one request.
Confidence and location data
Review granular confidence scores and bounding boxes for outputs, which helps teams validate extracted data and inspect where values came from.
Flexible implementation options
Choose deployment and usage paths with SDKs, no-code tools, manual API calls, and platform controls such as localized processing zones and data-retention options mentioned on the site.
Use Cases
“Invoice processing”
Automate invoice capture by extracting invoice numbers, tax IDs, totals, and line items for accounts payable, reconciliation, and payment workflows.
“Receipt data extraction”
Process receipts into structured expense data, including merchant details, totals, taxes, currencies, and itemized lines for expense systems.
“Customer onboarding and verification”
Verify identity documents and proofs of residence by extracting names, dates of birth, expiry dates, addresses, and account numbers from IDs and utility bills.
“Document routing and batch cleanup”
Split and classify mixed document uploads so batches can be separated into individual records and routed to the right extraction model.
“General document digitization”
Digitize other business documents such as bank statements, resumes, passports, and delivery or purchase documents when teams need structured fields from unstructured files.
Frequently Asked Questions
What does Mindee do?
Mindee provides API-based document processing for extracting structured data from documents such as invoices, receipts, IDs, bank statements, and resumes. The platform is designed for developers and teams that want to turn document inputs into JSON or other structured outputs without training a model from scratch.
How do teams integrate Mindee into their workflow?
The site says Mindee supports SDKs, no-code tools, manual API calls, and developer docs. It also presents platform features such as chaining pre-processing and extraction models in a single API call, with outputs including structured JSON, confidence scores, and bounding boxes.
Is Mindee free to try or only paid?
Mindee’s pricing page shows Starter, Pro, Business, and Enterprise plans. Starter, Pro, and Business include monthly credit allowances, while Enterprise uses custom pricing for larger organizations with specific volume or SLA needs.
What kinds of documents does Mindee support?
The homepage says the API works with photos, PDFs, handwritten files, and multiple languages or alphabets. Product pages also describe document-specific APIs for receipts and invoices, including line-item and field extraction.
How are credits calculated?
Mindee’s pricing page explains that credits are based on the number of physical pages submitted, not on document type or extraction complexity. Multi-page files count by page, and batch uploads are counted page by page as well.
Quick Facts
- Category
- AI document processing API
- Primary users
- Developers and teams automating document workflows
- Core output
- Structured JSON and extracted document fields
- Platform surface
- SDKs, no-code tools, manual API calls, and developer docs
- Pricing model
- Paid plans with a free trial and custom enterprise pricing
- Source domain
- mindee.com
Mindee Traffic Analysis
Traffic data is for reference only.
- Domain Rating
- 62
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