OCR

Unlocking Text from the Visual World with OCR Services

Step into a new era of data extraction and document management with our Optical Character Recognition (OCR) services. OCR is the key to converting printed or handwritten text into machine-readable data, empowering your business with rapid and accurate information extraction.

OUR SOLUTIONS​

What is OCR?

Optical Character Recognition is a technology that converts different types of documents, such as scanned paper documents, PDFs, or images captured by a digital camera, into editable and searchable data. It transforms visual information into a format that machines can understand, opening up a world of possibilities for automation and efficiency.

Key Features:

  • Text Extraction
    Extract text from images, scanned documents, or PDFs, making the content accessible and searchable.
  • Document Digitization
    Convert paper documents into digital formats, reducing manual data entry and storage challenges.
  • Data Accuracy
    Improve accuracy in data extraction, minimizing errors associated with manual input.
  • Efficient Information Retrieval
    Enable quick and easy retrieval of information from vast volumes of documents.

Our OCR Services

  • Document OCR
    Document OCR: Transform physical documents into digital, searchable formats for enhanced accessibility.
  • Invoice Processing
    Automate the extraction of crucial data from invoices, streamlining financial processes.
  • Form Recognition
    Automatically recognize and extract data from structured forms, reducing processing time.
  • Custom OCR Solutions
    Tailor our OCR services to meet the unique document processing needs of your industry.
BOTTEQ AUTOMATION

Why Choose Us?

Accuracy

Our OCR solutions boast high accuracy levels, ensuring reliable data extraction.

Customization

We understand that different industries have unique document challenges, and we customize our services accordingly.

Efficiency

Witness significant efficiency gains in data management and document processing.