At ThirdEye, we are dedicated to enabling enterprises to transform their unstructured data from various files and documents into valuable insights with our AI-powered Image-to-Text Extraction solution.
We leverage AI technologies such as computer vision, machine learning, and generative AI to build this solution. It empowers organizations to automatically extract text from various file formats, including documents, images, scanned copies, handwritten notes, invoices, receipts, bank statements, KYC documents, and other visual data.
Our Image-to-Text solution transcends traditional OCR, using deep learning algorithms and generative AI to ensure accurate text extraction, real-time data querying, and interactive reporting. By seamlessly integrating into existing enterprise systems, this solution converts unstructured data into actionable insights, valuable for many real-world industry use cases.
Our solution harnesses the power of computer vision, machine learning, and generative AI to automatically detect, extract, and analyze text within images. Here’s how each core technology contributes to creating an unparalleled data extraction experience:
At the core of our solution is computer vision technology, which enables accurate detection and extraction of text from complex image types. Our system is trained to recognize both printed and handwritten text, even under challenging conditions such as low resolution, varied lighting, or unusual layouts. Advanced pattern recognition and segmentation algorithms ensure that all relevant text is accurately identified and extracted, whether from structured forms, unstructured images, or detailed documents. This precise detection forms the foundation for high-quality, reliable data extraction across diverse business applications.
Machine learning enhances the accuracy and adaptability of our solution, enabling it to handle a wide range of text types, languages, and image formats. By analyzing extensive datasets with various image types and text structures, our system continuously improves its ability to recognize complex font styles, skewed text, and even subtle details like faint or smudged writing. This self-learning capability allows our solution to deliver increasingly accurate results over time, tailored to each enterprise’s unique data requirements and significantly reducing the need for manual intervention in text extraction processes.
Generative AI revolutionizes interactive data analysis. With this technology, users can engage dynamically with their data insights, asking questions such as "What are the key terms from this batch of invoices?" or "Which contracts mention specific clauses?" and receiving context-rich, detailed insights instantly. By creating a conversational interface, our solution enables users to interact directly with extracted data, identify patterns, and derive insights without the need for extensive manual review or complex queries, ultimately making data interpretation faster and more accessible.
ThirdEye’s Image-to-Text Extraction solution derives insights from unstructured data across critical document types used in various industries. By accurately capturing information from complex document formats, our AI-powered system enables enterprises to process their unstructured data, use them for structured consumptions in their decision-making tasks and perform data queries in a conversational way, powered by OpenAI’s GPT models.
Here is a breakdown of the unstructured data sources we cover:
- Bank Statements: Extracting transactional details, balances, and account information from bank statements, supporting financial analysis and faster access to critical financial data.
- Bills and Invoices: Capturing and organizing essential entities such as vendor names, dates, amounts, and line items from various bill and invoice formats, streamlining finance workflows and reducing manual entry.
- KYC Documents: Reading and verifying details from Know Your Customer (KYC) documents, including IDs, utility bills, and address proofs, for efficient customer onboarding and regulatory compliance.
- Medical Prescriptions and Health Reports: Transforming handwritten prescriptions and health reports into structured data, making it easier for healthcare providers to access patient information, manage records, and support continuity of care.
- Insurance Claims and Medical Records: Digitizing complex medical records and insurance claim forms, streamlining access to patient histories, treatment details, and claim statuses for improved accuracy and faster claims processing.
- Shipping and Logistics Documents: Extracting key details from shipping labels, customs declarations, and delivery receipts, improving logistics tracking, inventory management, and operational efficiency.
- Contracts and Agreements: Recognizing and extracting data on critical terms, clauses, and conditions from contract formats, accelerating review processes, enhancing compliance, and simplifying contract management.
- Receipts and Purchase Orders: Capturing information from receipts and purchase orders, automating expense tracking, reconciliation, and procurement processes.
Through our extensive experience in implementing Image-to-Text Extraction solutions, we have achieved significant results across various industries, enabling organizations to automate data extraction process, tap into unstructured data, gain valuable insights from it, and perform conversational data queries:
- Finance Sector: Our solutions have helped banks and financial institutions automate invoice and receipt processing, achieving a 75% reduction in processing time.
- Healthcare Industry: In hospitals, our technology has digitized patient records, enabling faster access to critical patient information and reducing manual errors, resulting in an 85% accuracy rate in patient data retrieval.
- Legal Sector: Law firms utilizing our solution for extracting information from lengthy contracts and legal documents have experienced a 50% reduction in manual effort for document review and compliance checks.
- Manufacturing: Manufacturers leveraging our image-to-text extraction for quality control. They are using it to automate the data extraction process of inspection reports, handwritten notes from the operators, and compliance documents, achieving real-time access to critical quality metrics.
