Customisable OCR solutions for your needs
Optical Character Recognition
Whether you need to scan documents, process images, or transcribe videos, our optical character recognition service has got you covered. Get rid of manual data entry and embrace automated text extraction.
15+
Years expertise
140+
Satisfied clients
120+
Team members
Optical character recognition use cases
Data entry automation
Eliminate manual data entry by automatically extracting text from forms, invoices, and other structured documents. Streamline data capture processes, reducing errors and integrate with existing systems and workflows for hassle-free data processing.
Document digitisation and archiving
Scan and convert large volumes of paper documents into searchable digital formats. Extract text from scanned files, PDFs, and images for easy archiving and retrieval and take advantage of full-text search capabilities across digitised document repositories.
Content repurposing and publishing
Extract text from images, videos, and multimedia content for repurposing, transcribe video footage, enabling closed captioning and subtitling. Unlock text embedded in visual assets for content optimisation and accessibility.
Intelligent document processing
Classify and categorise documents based on extracted text, automate data extraction from complex forms and templates, validate and enrich extracted data with external data sources.
Compliance and regulatory needs
Extract critical information from contracts, agreements, and legal documents, ensure compliance with data privacy regulations, and automate the extraction of required data fields for regulatory reporting.
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Strive for excellence with Altamira
Altamira has been awarded numerous times for its performance and achievements. Join our community of successful customers, whom we helped to build and grow their businesses through optical character recognition solutions.
The main challenges we solve
Overcome all these challenges with our AI software solution.
Manual data entry costs
Reduce labour costs associated with manual data entry by automating the extraction of text from documents.
Error-prone data entry
Minimise human errors in data entry processes, leading to improved data accuracy and reliability.
Time-consuming document processing
Accelerate document processing times by quickly converting scanned documents or images into editable and searchable text.
Inefficient document retrieval
Enhance document searchability and retrieval by converting physical documents into digital formats that can be easily indexed.
Compliance and audit requirements
Ensure compliance with regulatory requirements by maintaining accurate and accessible digital records of documents.
Paper-based workflow digitisation
Facilitate the transition from paper-based to digital workflows by digitising documents and making them electronically manageable.
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Let’s treat the core problems, not symptoms.
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Explore our case studies and find out how we have helped some of our clients from around the world.
Our tech stack
Our engineers employ sophisticated image preprocessing techniques and machine learning algorithms to transform scanned documents and images into editable, searchable text formats, enhancing data accessibility.
Explore our full range of services
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Streamline store operation, improve inventory, and level up customer experience with accurate item identification.
Automate processes, gain insights into customer behaviour, and product performance with real-time object detection and classification.
Ensure top-notch quality control, automatically detecting and classifying product defects to maintain high standards.
Case studies
People also asked
OCR, or Optical Character Recognition, is a technology widely used across various industries to convert printed or handwritten text into machine-readable digital data. For example, in banking it processes checks and automates data entry. Healthcare uses OCR to digitise patient records and extract information from medical forms. Educational institutions use it to convert printed books into digital formats. In logistics, OCR helps read barcodes and track shipments. Get in touch to get a free expert consultation.
In real life, OCR is used to convert different types of documents, such as scanned paper documents, PDF files, or images taken by a digital camera, into editable and searchable data. For example, OCR technology can turn a photographed receipt into a text file that can be edited or stored in a database. It’s also used in automated data entry systems to extract information from invoices and receipts. Moreover, OCR is widely used in mobile apps to scan business cards and automatically add contact details to an address book.
As a rule, OCR struggles to recognise text in images of poor quality or those with complex backgrounds. Additionally, OCR accuracy varies based on the language being processed since less common languages may have limited support. Contact us to learn more about optical character recognition and how it can benefit your business.
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