Mindee

Mindee is an AI document processing API that extracts structured data from invoices, receipts, IDs and bank statements. Automate document capture and routing with APIs, SDKs and no-code tools.

AI Documents Assistant AI Document Extraction AI OCR

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Overview

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.

Features

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.

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.

Pros and Cons

Pros

Extracts structured data from a wide range of document types, including invoices, receipts, IDs, bank statements, and resumes.
Supports photos, PDFs, handwritten files, multi-page documents, and multiple languages or alphabets.
Includes workflow features for extracting, splitting, classifying, and cropping documents before extraction.
Offers developer-facing implementation options through SDKs, no-code tools, manual API calls, and developer docs.
Shows operational controls such as confidence scores, bounding boxes, and localized processing zones in the platform materials.

Cons

Enterprise pricing is custom, so larger deployments require a sales conversation.
Some platform capabilities such as RAG, priority support, and workflow access depend on plan level.
The public sources do not provide full technical integration details for every deployment option.

FAQ

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.