Auto-cropping document API, tailored for multi‑page on a single file
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
4.8/5 (30+ reviews)
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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
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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.
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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
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1
Capture
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2
Pre-processing
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3
Data extraction
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4
Enrichment
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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, analyse handwriting, and isolate multi-documents on a single page/picture.
Auto-crop
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Live test available
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AI-powered classification that identifies document "DNA" (Invoices vs. Contracts) and automates batch splitting
Manual document sorting is a bottleneck of the past. Our routing engine acts as a digital architect, instantly classifying documents and directing them to the correct business logic.
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Extract data from any layout with outstanding accuracy : complex tables, key-value pairs, and handwritten annotations supported
Move beyond simple character recognition. Our extraction layer leverages Neural Networks to understand your data contextually, turning static unstructured files into dynamic, structured assets in standard JSON format.
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Real-time synchronization with ERP/CRM master data and automated third-party API validation (VAT, Compliance)
Data in a vacuum has limited utility. The "Enrich" phase bridges the gap between a document and your entire enterprise ecosystem (ERP, CRM, PLM) thanks to integrations.
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Automated business rule validation and high-efficiency Human-in-the-Loop workflows for edge-case validation.
Go beyond simple extraction. Build resilient document pipelines that automatically verify data against your custom business rules. Our API manages the friction between automated confidence scores and human edge-case validation, ensuring your production data is always clean, compliant, and actionable.
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Confidence scores
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Enterprise-grade
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Developers and technical profiles already used it !
Add modern AI-based Mindee OCR API to your product, in minutes.
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Mindee is an integrated document processing platform backed by reliable AI technology. The service has an intuitive and user-friendly interface and provides highly accurate results extracting data from various document types, especially financial receipts and invoices, which are relatively complex and require specialized optical character recognition (OCR) services. The platform provides seamless integration with our current data processing workflows through customizable APIs, allowing for efficient data extraction and automation.
Amar A.
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Mindee is a software that helps us to convert all of our physical business data like bills, invoices, warranty cards, calendar, recipts received to us into a digital documents that can be stored in our drive and can be uploaded in different type of Excel sheets so that all the updates can be maintained and a proper analytics of transactions can be kept by the financial team
Shiv K.
Mindee is a web based tool that help us in scanning and reading different type of documents like identity cards, invoices, proposal plans etc and extract all the information with its AI and then it provides all the information and data associated with these documents a structured way.
Gaurav K.
Excellent. In addition to their great product, the sales team has always been proactive on how they could help us leverage the maximum results from their product. It was like having an additional product manager on our side
Jeff B.
Mindee works reliably and delivers good performance. The OCR data is accurate, and the API is stable. It works like a charm.
Manuel B.
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Mindee is a web based tool that help us in scanning and reading different type of documents like identity cards, invoices, proposal plans etc and extract all the information with its AI and then it provides all the information and data associated with these documents a structured way.
Simon
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+15M documents processed monthly
Start to auto-crop files, extract data
+500 active users
14-day free trial
No credit card
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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.
What are examples of automated multiple cropped documents?
The most common use case is in expense management, where an employee might scan three or four small taxi receipts and a restaurant bill on a single A4 or letter-sized page.
Another core example is identity verification (KYC), such as scanning the front and back of a driver's license or multiple ID cards on the same flatbed scanner.
In the medical field, this technology is used to digitize several laboratory labels or prescription stickers scanned onto a single sheet.
By isolating these items, the system ensures that a "lunch receipt" doesn't get merged with a "taxi fare" in your accounting database. You can check more real-life examples of how companies leverage this technology by visiting customer stories.
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.
- Object detection: The AI identifies how many distinct items are on the page.
- Bounding box generation: It draws a precise "box" around each item, even if they are placed at an angle (this is where "auto-deskewing" happens).
- Cropping & de-noising: The system crops each box into a new, individual image file and clean the quality.
- Individual processing: Each new file is sent to the relevant extraction model (e.g., the Receipt API) as if it had been uploaded on its own, eliminating cross-talk between different documents.
How to auto-crop multiple images or PDFs at once?
Manually cropping images/PDFs in a tool like Photoshop or using basic Python scripts is slow and doesn't scale.
To auto-crop multiple images/PDFs at once for a production-grade workflow, you should integrate an OCR API that includes a dedicated pre-processing layer. Mindee’s API handles this automatically: when you send a single scan containing multiple items, the vision engine detects the boundaries and performs the crop in milliseconds.
For developers, this means you can accept "bulk scans" from users without writing complex image‑processing logic, significantly accelerating your development cycle and improving the end-user experience.
