# Auto-cropping document API, tailored for multi‑files on a single page

Efficient one-tap digitization for multiple items captured in a single scan or photo

Ensure individual record precision by automatically isolating and cropping distinct documents into standalone files

[Try it for free](https://app.mindee.com/signup)

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Trusted by top-tier teams worldwide

Without

Auto-crop

Generalist LLMs struggle with precise spatial coordinates, leading to messy crops and hallucinated document borders

Often "hallucinates" coordinates, cutting off text or logos

High-res images needed for cropping burn through tokens

Struggles with "cluttered” layout

Difficult to admit when it's "unsure" of a type

With

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Auto-crop

+99% Accurate cropping

Identifies exact physical edges

Fixed processing cost regardless of image complexity

Easily isolates 10+ items on a single scan

Built-in metrics to trigger human review only when needed

## Implement “Crop” **into your** document **workflow, in seconds**

Available for every plan

## From Mindee’s platform, create a new pre‑processing model by clicking on “Crop” utility

You will find it at the bottom of the user interface. If you are more familiar with this type of pre-processing model, you can directly use it by checking the [Documentation for more details](https://docs.mindee.com/).

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Custom to your needs

## Enter the document types that you may find in your files

Before final pre-processing, you need to define appropriate categories. Be sure to manually add an “Undefined” category. If a file doesn’t match to your document main categories, it will be available in the “Undefined” one.

PDF, HEIC, PNG, JPEG... Multiple formats

## Upload any document without friction: universal PDF and image support

Accelerate ingestion with native support for PDFs and all image formats. From high-res scans to mobile captures, Mindee API handles any input, ensuring your data is always ready for extraction.

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Full document processing stack

## Find all your documents cropped and individualized in standard JSON format, with corresponding bounding boxes

Pre-processing via auto-crop can then be combined with other Mindee API utilities to further improve the granularity of the extracted data.

## Use auto-crop and more to optimize your document workflow

1

Capture

2

Pre-processing

3

Data extraction

4

Enrichment

5

Validation

Smart capture image from poor quality phone pictures, handwritten notes to native PDFs

Bridge the gap between noisy inputs and structured data. Mindee API cleans low-quality phone captures, analyze handwriting, and isolate multi-documents on a single page/picture.

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Live test available

## FAQ to know more about Mindee's API

### What is automated multiple cropped documents ?

Automated multiple cropped documents is a specialized computer vision feature that **detects**, **isolates**, and **crops individual records scanned together on a single page.**

Instead of treating a scan of several receipts or IDs as one image, the API identifies the physical boundaries of each item. It then creates separate, high-resolution standalone files for each record, ensuring that the downstream extraction engine processes them individually for **maximum accuracy**.

### How does automated multiple cropped documents work ?

The process is a sophisticated blend of geometric analysis and edge detection. When a single page is uploaded, Mindee’s vision pipeline performs a "spatial scan" to find high-contrast borders that indicate a physical object's edge.