Transform your business with Percepta OCR for fast, accurate text recognition and efficient workflow automation.
Percepta OCR is more than just a document capture and extraction solution—it’s an enterprise-scale platform designed to redefine document automation. Powered by advanced Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP), Percepta seamlessly transforms data from your business documents into actionable insights with exceptional precision.
By streamlining processes such as classification, data location, extraction, and validation, Percepta eliminates complexity and reduces setup time from months to minutes. With its intelligent automation capabilities, Percepta empowers businesses to achieve touchless document processing, faster onboarding, lower operational costs, and unparalleled visibility into workflows.
Regami’s Percepta OCR platform, combined with our expertise in camera engineering and digital engineering, delivers high-performance, enterprise-scale solutions with accelerated time-to-market efficiency.
Capture, Convert, and Automate: Leverage Regami’s Percepta
OCR technology with vision engineering enables precise capture and conversion, enhancing accuracy and accessibility.
Intelligent Data Extraction
Percepta OCR extracts key information for intelligent automation and improved decision-making across industries.
Cost Efficiency & Rapid ROI
Percepta OCR cuts manual data entry, offering cost savings and quick ROI through automated document processing.
Dynamic Document Sorting
Percepta OCR dynamically classifies and sorts documents based on context, ensuring efficient document management and retrieval in real time.
Improved Accuracy
A critical benefit, as OCR solutions are valued for their ability to minimize errors compared to manual data entry. Highlighting accuracy builds trust.
Workflow Optimization
Percepta by Regami streamlines operations, seamlessly integrating into existing systems for peak efficiency.
Legal & Compliance Benefits
Industries with strict regulatory requirements, such as healthcare, value OCR's ability to ensure accurate records for audits and compliance.
Intelligent Document Automation with Percepta Across Industries
Fuel your industry's growth with Percepta OCR, the all-in-one solution for success.
Medical Record Digitization
OCR transforms paper-based medical records into digital formats, improving accessibility, reducing errors, and supporting efficient clinical decision-making.
Automated Checkout System
OCR streamlines checkout by automatically scanning product labels and barcodes, reducing wait times and enhancing efficiency.
Invoice Processing
OCR technology in transportation automates invoice processing by extracting and digitizing data, reducing manual errors.
Claims Automation Process
OCR extracts data from claims documents, automating data entry and speeding up claim approvals for better customer service.
Object Recognition Robots
OCR helps robots recognize product labels and text, enabling accurate inventory management and quality control in warehouses.
Personalized Marketing
OCR analyzes receipts and customer data to provide insights for personalized marketing and tailored promotions.
Decoding OCR: A Seamless Process from Image Recognition to Text Output
Pre-Processing
Regami's PERCEPT OCR technology enhances document recognition through key pre-processing steps:
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Unified Document Processing: Automatically handles various formats (scanned images, office documents, emails) in one workflow.
Binarization: Converts images to high-contrast black-and-white format for improved character detection.
Skew Correction & Noise Reduction: Aligns text by correcting tilt or distortion and filters out unwanted marks and speckles, ensuring clearer and more accurate text
Classification and Recognition
In Percepta’s OCR technology, the Classification and Recognition step involves:
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Document Classification: Neural networks categorize documents (e.g., invoices, contracts) and subcategories based on text and image patterns.
Character Recognition: Deep learning identifies characters across various fonts and styles, ensuring high accuracy.
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Multi-Page Processing: Percepta links content across pages for efficient document extraction from large sets.
Extraction and Validation
The third step of the OCR process in Regami's Percepta OCR system involves,
Data Extraction: Key information is automatically extracted from the recognized text, such as names, dates, and addresses.
Automatic Validation: Extracted data is validated by comparing it to predefined rules and external databases for accuracy
Verification: In case of errors, a verification station allows manual checks to ensure the extracted data matches the original document.
Decoding OCR: A Seamless Process from Image Recognition to Text Output
Pre-Processing
Regami's PERCEPT OCR technology enhances document recognition through key pre-processing steps:
-
Unified Document Processing: Automatically handles various formats (scanned images, office documents, emails) in one workflow.
Binarization: Converts images to high-contrast black-and-white format for improved character detection.
Skew Correction & Noise Reduction: Aligns text by correcting tilt or distortion and filters out unwanted marks and speckles, ensuring clearer and more accurate text
Classification and Recognition
In Percepta’s OCR technology, the Classification and Recognition step involves:
-
Document Classification: Neural networks categorize documents (e.g., invoices, contracts) and subcategories based on text and image patterns.
Character Recognition: Deep learning identifies characters across various fonts and styles, ensuring high accuracy.
-
Multi-Page Processing: Percepta links content across pages for efficient document extraction from large sets.
Extraction and Validation
The third step of the OCR process in Regami's Percepta OCR system involves,
Data Extraction: Key information is automatically extracted from the recognized text, such as names, dates, and addresses.
Automatic Validation: Extracted data is validated by comparing it to predefined rules and external databases for accuracy
Verification: In case of errors, a verification station allows manual checks to ensure the extracted data matches the original document.
OCR Success: Accuracy, Speed, Innovation
