Residential Tenancy Agreement OCR Data Extractor.

Accurately extract over 20+ data fields from multiple Residential Tenancy Agreements all at once, including line items, in 56 languages.

500+

customers

30,000+

monthly users

50M+

documents processed

10+ years

of document IP

Affinda is trusted by some of the world's leading organisations

See our Residential Tenancy Agreement parser in action.

Our easy-to-use parser's interface is designed for everyone, with no training required for use.

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What is a Residential Tenancy Agreement OCR Data Extractor?

A Residential Tenancy Agreement OCR data extractor is an innovative tool that utilises Optical Character Recognition (OCR) and Artificial Intelligence (AI) technology to facilitate the process of data extraction from Residential Tenancy Agreements. It is essentially an AI-powered OCR data extractor that is programmed to navigate through the complexities of tenancy contracts, identify pertinent data, and extract it with impressive accuracy and efficiency. After a Residential Tenancy Agreement is either scanned or digitally uploaded, the AI-powered OCR data extractor reads the document, extracts the important information, and securely stores it for future reference or analysis. This process is not only fast but also remarkably precise, ensuring reliable data extract without the need for human interference.

Implementing an AI-powered OCR data extractor for Residential Tenancy Agreements offers substantial benefits to real estate professionals and individuals alike. Property managers, landlords and real estate agencies can save considerable hours spent on paperwork, thus dedicating their valuable time to client relations and decision-making processes. For tenants, this OCR technology means a more streamlined and quicker process which enhances their overall renting experience. For example, consider a property management firm dealing with a constant influx of Residential Tenancy Agreements. Using an OCR data extractor, the firm can rapidly process these contracts, populate their database with precise tenant and leasing data, and limit the risk of human errors. This proficiency allows the firm's personnel to focus more on managing properties and meeting the needs of their clients, thereby enhancing their overall service delivery and bottom-line.

Automatically process your Residential Tenancy Agreements in four simple steps.

Step 1

Upload your documents to Affinda directly to our app, or by integrating with email or document management platforms

Step 2

Our OCR Residential Tenancy Agreement extractor will automatically scan, extract, label and categorise the data on the Residential Tenancy Agreements in seconds

Step 3

Export the data in a structured and usable format. Integrate our Residential Tenancy Agreement parser with any downstream system or platform to use your data where you need it most

Step 4

Need an AI data extractor customised to your specific business needs? Our expert team can build a model tailored to your business workflows that integrates seamlessly with existing processes.

Extract data from dozens of fields.

Our AI Residential Tenancy Agreement OCR solution automatically extracts data from over 20+ fields.

Landlord Details

Full Name
Address
Phone Number
Email Address

Tenant Details

Full Name
Address
Phone Number
Email Address

Property Details

Address
Unit Number
Legal Description or Parcel Number
Property Size
Number of Bedrooms
Number of Bathrooms
Other Features and Amenities

Residential Tenancy Agreement Details

Term of Tenancy
Rent Amount and Frequency of Payments
Security Deposit Amount
Utilities and Other Expenses
Responsibilities of the Landlord
Responsibilities of the Tenant
Restrictions or Prohibited Activities
Repairs and Maintenance
Termination and Renewal Terms
Notice Periods
Insurance Requirements
Additional Terms and Conditions
Signatures of the Landlord and Tenant
Date of Agreement

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Don’t see the fields you need above?

Affinda makes it easy to add custom fields according to your bespoke requirements.

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Innovative features that set us apart from the rest.

Superior accuracy

Over 20+ fields extracted

Supports multiple file formats: PDF, JPG, PNG

Highly flexible and customisable

Supports over 56 languages

Upload and extract in bulk

Self-learning models improve over time

Seamless upstream and downstream integration

Businesses around the world use our Residential Tenancy Agreement OCR Extractor in different industries and use cases.

Real estate agents and property managers benefit from our Residential Tenancy Agreement OCR data extractor to expedite the processing of tenancy agreements. It provides a faster and more efficient way of extracting essential information from these documents for accurate record-keeping.

Legal departments leverage our AI-powered OCR technology to process Residential Tenancy Agreements, transforming lengthy legal documents into easily accessible data. This technology significantly improves productivity and ensures the accuracy of every extracted detail.

Investment property owners use our Residential Tenancy Agreement OCR data extractor to better manage their properties. Automating data extraction from tenancy agreements equips them with reliable and organised information to make informed decisions about their rental properties.

Need to automate your Residential Tenancy Agreement workflows? Contact us.

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