Proof of Address OCR

Recipient and Issuer data extraction on Utility bills, Bank statements, Payslips and more.

Illustration of document extractrion

Built for Proof of Adress data extraction

Mindee’s platform automates the extraction and management of proof of address documents, reducing manual workload, improving data accuracy, and ensuring compliance. This makes handling proof of address verification faster, more accurate, and more efficient.

Automate Proof of Address Data Extraction

Our Proof of Address OCR technology automatically extracts key information from documents like utility bills, bank statements, and government letters. Extract data such as names, addresses, dates, and document types without manual data entry, saving time and reducing errors. Ensure all crucial address information is captured accurately and efficiently.

Simplify Document Verification Workflows

Integrate our Proof of Address OCR solution into your document verification processes to streamline the management of proof of address documents. Automatically organize and categorize extracted data, reducing administrative tasks and speeding up workflows. Your team can handle high volumes of documents more effectively with less effort.

Enhance Compliance and Record Keeping

Maintain compliance with regulatory requirements by digitizing and securely storing proof of address documents with our OCR solution. Ensure all records are searchable and organized for easy access during audits and internal reviews. Confidently manage sensitive data while ensuring it meets data privacy and security standards.

Improve Operational Efficiency

Our Proof of Address OCR solution provides structured data that can be easily integrated into your existing verification systems, accelerating processing times and enhancing operational efficiency. Leverage accurate, automated data to improve customer onboarding, reduce turnaround times, and optimize overall processes.

Unlock the power of document automation

Our platform is designed for operation professionals and software vendors who want to optimise their business processes relying on documents. If you want to save time, improve data quality in your systems, and automate complex tasks effortlessly, Mindee is for you.

Reduce manual entry by 88%

Free your workforce from tedious tasks

Decrease average error rate by 30%

Rely on AI you can trust

Cut turnaround time by 57%

Accelerate your business operations

Extracted proof of address data

Transform any scan, photos, or pdf of utility bill of another proof of address document into usable data in your software

Locale information

- Currency in ISO format (USD, EUR...)
- Language in ISO format (en, es...)

Issuer Information

Information on the person or company issuing the document.

- Issuer name
- Issuer company registration
- Issuer address

Recipient information

Information on the recipient of the document

- Recipient name
- Recipient's company registration numbers (if any)
- Address of the document's recipient

Image orientation

The clockwise rotation to apply in degrees to get the page/image upright.

Dates

Each date is returned in ISO format YYYY-MM-DD

- Issuance Date
- Dates

Frequently asked questions about Proof of Address OCR

Choosing the right Proof of Address OCR technology can be a challenging task, but factors such as precision, extraction accuracy, response time, integration time, pricing, and scalability can be considered to optimize your software's value.

📄 How can I test the proof of address OCR API?

Anyone with an account on our platform can access the Proof of Address OCR API for free.

To test the APIs, simply create a free account using the provided link and upload any proof of address document in our user interface to seethe proof of address OCR in action. A demo page is also available here.

💸 Can I use Mindee's Proof of Address OCR API for free?

Our free plan is designed for those who need to process 250 pages per month and does not require a credit card. Once you exceed the monthly page limit, pricing starts at $0.10 per proof of address page processed, and the cost per page can decrease based on monthly volume.

See the pricing page for more information.

🗺️ What are the supported countries?

Our Proof of Address recognition API uses computer vision technology that extracts data from document images, eliminating language limitations.

Our OCR has been trained on documents from over 50 countries, ensuring you can extract data from your proof of address documents regardless of their origin.

🕔 How easy is it to integrate the Proof of Address OCR API?

Mindee's Proof of Address OCR API follows HTTP standards, making it easy for developersto integrate our APIs into their applications.

In addition, we provide a variety of client libraries in all major back- end languages, as well as an open-source UI toolkit for creating front-end functionality. Visit our open-source repositoryor API documentation for additional information.

📈️ What is the Proof of Address OCR accuracy?

Our Proof of Address OCR technology delivers a high level of accuracy, with a precision rate above 95% for most of the fields, based on a dataset that spans more than 50 countries.

You can try it out for free by simply creating an account and testing it on your own proof of address documents in our live interface.

⚡ What's the average Proof of Address OCR API response time?

Our OCR API processes PDFs in about 1.3 seconds per page, and images in around 0.9 seconds per page.

We strive to minimize the processing time to ensure quick, real-time responses.

🎯️ Does the Proof of Address OCR work on low-quality images?

Our Proof of Address OCR can process documents from a wide range of layouts and formats, thanks to our extensive training.

Besides, we use data augmentation to make sure that no blur or ink stains prevent our system from reading the data as long as it's readable.

🤓️ Do you offer technical support?

If you have any questions about our services, you can join our Slack community and chat with our team.

We do not work on the integration in your infrastructure, however, if needed, we can set up a custom level of support on a per-case basis.

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