Automate your document classification with a highly reliable API

It is the process of using Intelligent Document Processing (IDP) to instantly identify and label a file. Instead of a human manually sorting an inbox, Mindee’s API analyzes the visual layout and text content to categorize a document (e.g., distinguishing an Invoice from a Purchase Order) in under a second.

Absolutely. While Mindee offers robust off-the-shelf models, you can easily build custom schema for your unique needs.

• Custom API builder: Create a model schema tailored to your industry
• Few-shot learning: You don’t need thousands of documents. Providing just a handful of examples allows Mindee’s vision-based algorithms to learn the subtle visual cues (stamps, headers, signatures) that define your document types.

Mindee is designed with a "developer-first" philosophy, offering an intuitive interface that replaces complex manual programming with visual training tools. No training is required before using a model, while expecting high-accuracy for any document types.

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This democratization of AI allows product teams to deploy custom classification skills in a fraction of the time it would take to build a traditional OCR pipeline from scratch on GitHub.

By identifying the type of document at the point of entry, organizations can automate the routing of files to the correct workflows without a single second of manual triaging.

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Here are some of the most impactful real-world examples of automated document classification:

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In the accounts payable department, classification is a game-changer for departments that receive massive bulk PDF attachments from vendors. The API can instantly distinguish between an invoice, a credit note, and a monthly statement. This ensures that a credit note isn't mistakenly processed as a bill, preventing costly payment errors and streamlining the entire financial cycle.

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It is equally essential for two-way matching and reconciliation workflows. Often, a single scan might bundle a purchase order (PO) with its corresponding delivery note. Automated classification identifies the boundary and the specific type of these two distinct records, allowing them to be cross-referenced automatically for audit purposes. By classifying them first, the system knows exactly which extraction engine to use for the PO vs. the delivery receipt.

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For customer onboarding, this technology creates a frictionless user experience. A new client can upload a single "onboarding packet" containing their ID card, a utility bill for proof of address, and a signed contract. The classification engine recognizes each item within the packet and routes them to specialized extraction models—such as a passport API or a utility bill API—for instant, automated verification.

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Similarly, in vehicle fleet management, automated classification enables the seamless digitization of complex maintenance folders. Insurance certificates, vehicle logbooks, and repair invoices are often scanned together in a single batch. The classification logic ensures that each document is correctly identified and filed under the right vehicle asset, allowing fleet managers to track compliance and maintenance history without any manual sorting or filing.

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You can check more real-life examples of how companies leverage this technology by visiting customer stories.