Letter of Recommendation OCR Data Extractor.

Accurately extract over 20+ data fields from multiple Letters of recommendation all at once, including line items, in 56 languages.




monthly users


documents processed

10+ years

of document IP

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

See our Letter of Recommendation parser in action.

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

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Open this web page on a desktop device to upload your documents and see how it works for yourself.

What is a Letter of Recommendation OCR Data Extractor?

A Letter of Recommendation Optical Character Recognition (OCR) data extractor is an innovative and smart technology tool that uses Artificial Intelligence (AI) to interpret and extract vital information from Letters of Recommendation. Using OCR technology and machine learning, this system can scan both printed and digital letters, identifying all critical details such as the name of the candidate, the recommending authority and the key tenets of the recommendation. Once these details are identified, the data extractor converts them into an easily searchable, sortable and digital format, automating the entire process efficiently. The value of a Letter of Recommendation OCR data extractor goes beyond the mere extraction of data. By transforming the unstructured data into a structured format, the technology aids in bringing uniformity. This simplification of the process provides consistent information aiding in better decision-making for reviewers, whether they are in academia, HR departments or any organisation where recommendation letters are integral. The AI-driven approach minimises the effort and manual labour that goes into analysing each letter individually, thus reducing errors and boosting efficiency.

This AI-powered OCR technology can integrate seamlessly into any existing workflows or system, making it a versatile solution. In practical terms, it can significantly cut down the time traditionally spent on manual data entry and review, allowing institutions and businesses to focus on the core areas of their operations. It simplifies the complex process of evaluating recommendation letters, ensuring that important information is recorded accurately, regardless of the volume of letters received. Hence, it is an invaluable asset in time and resource management. A Letter of Recommendation OCR data extractor not only enhances productivity by automating and accelerating the data extraction process but also contributes to more accurate and data-driven decisions. It signifies a notable advancement in handling the critical process involving letters of recommendation, paving the way for smarter, more efficient operations.

Automatically process your Letters of recommendation 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 Letter of Recommendation extractor will automatically scan, extract, label and categorise the data on the Letters of recommendation in seconds
Step 3
Export the data in a structured and usable format. Integrate our Letter of Recommendation 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 Letter of Recommendation OCR solution automatically extracts data from over 20+ fields.

Personal Details of the Applicant

  • Name
  • Job Title
  • Company Name

Details of the Recommender

  • Recommender's Name
  • Recommender's Job Title
  • Recommender's Company Name

Recommendation Details

  • Dates of Applicant's Employment
  • Applicant's Responsibilities
  • Applicant's Achievements
  • Description of Applicant's Skills
  • Strengths of the Applicant

Other Details

  • Date of the Letter
  • Signature of Recommender

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

Amplify Recruitment With AI Data Extraction & Parsing From Letters Of Recommendation | Affinda

Businesses around the world use our Letter of Recommendation OCR Extractor in different industries and use cases.

Admissions teams in educational institutions use our Letter of Recommendation OCR data extractor to streamline the admissions process. The system efficiently collates key information from letters, saving time and improving decision making.

Human Resources (HR) departments benefit from our Letter of Recommendation OCR data extractor during the hiring process. It swiftly pulls data from recommendation letters, providing valuable insights into the candidate's skills and capabilities.

Self-employed professionals such as independent consultants or freelancers can use our Letter of Recommendation OCR to quickly extract and document the key points endorsed in recommendations received, which can be beneficial for their marketing and reputation management.

Need to automate your Letter of Recommendation workflows? Contact us.

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