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 is an AI document processing API that extracts structured data from invoices, receipts, IDs, and bank statements, helping teams automate capture and routing.
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.
Turn document inputs into structured JSON with AI-powered extraction, so teams can route document data into downstream systems without manual transcription.
Use the same platform on photos, PDFs, handwritten files, and multi-page documents, with support for any alphabets and languages noted on the homepage.
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.
Chain pre-processing and extraction models in a single API call to handle manipulation, detection, isolation, and extraction in one request.
Review granular confidence scores and bounding boxes for outputs, which helps teams validate extracted data and inspect where values came from.
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.
Automate invoice capture by extracting invoice numbers, tax IDs, totals, and line items for accounts payable, reconciliation, and payment workflows.
Process receipts into structured expense data, including merchant details, totals, taxes, currencies, and itemized lines for expense systems.
Verify identity documents and proofs of residence by extracting names, dates of birth, expiry dates, addresses, and account numbers from IDs and utility bills.
Split and classify mixed document uploads so batches can be separated into individual records and routed to the right extraction model.
Digitize other business documents such as bank statements, resumes, passports, and delivery or purchase documents when teams need structured fields from unstructured files.
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.
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.
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.
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.
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.
Traffic data is for reference only.
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