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Optical Character Recognition (OCR)
Optimize data digitization with high-quality Optical Character Recognition (OCR) training data to build intelligent ML models.
Deciphering and digitizing scanned images of text is a challenge for many businesses developing reliable AI and Deep Learning models. With Optical Character Recognition, a specialized process, it is possible to search, index, extract and optimize data into machine-readable format. This scanned document dataset is being used to extract information from handwritten documents, invoices, bills, receipts, travel tickets, passports, medical labels, street signs and more. To develop reliable and optimized models, it should be trained on OCR datasets that have extracted data from thousands of scanned documents.
How our expertise in developing accurate OCR training datasets works in YOUR favor?
• We provide client-specific OCR training dataset solutions that help customers develop optimized AI models.
• Our capabilities extend to offering scanned PDF datasets and covering different letter sizes, fonts and symbols from documents.
• We combine the precision of technology & human experience to provide a scalable, reliable and affordable solution for clients.
Collect / Source thousands of high-quality handwritten datasets in hundreds of languages and dialects to train machine learning (ML) and deep learning (DL) models. We can also help in extracting text within an image.
Datasets consisting of invoice/ receipt where several items were purchased e.g., coffee shop, Restaurant bills, Grocery, Online shopping, Toll receipts, Airport cloakroom, Lounge, Fuel bill, Bar invoice, internet bills, shopping bills, taxi receipts, restaurant bills, etc. collected from different region and in different languages as required for the ML model. Save significant time and money by transcribing key data from invoices and receipts effectively and accurately.
Receipt Data Collection: Data Extraction of Receipts with OCR
Invoice Data Collection: Transcribe reliable data with Scanned Invoice Datasets
Tickets: Flight tickets, Taxi tickets, Parking ticket, Train tickets, Movie Ticket Processing with OCR
Transcription of Multi-category Scanned Documents: Newsletters, Resume, Forms with checkbox, Multi-document in a single image, User manual, Tax forms etc.
Multilingual handwritten data collection services for pattern recognition, computer vision, and other machine learning solutions to train Optical Character Recognition models.
Medicine bottle with labels, English Street/Road scene with car license plate, English Street/Road scene with instruction/info board etc.
Effortlessly extract tables from PDFs, scanned documents, and images. Retrieve essential data organized in tabular formats from any type of document. Our solution is pre-trained to recognize a wide variety of table headers & fields. Flat Fields: Name, Address, Total, Date, & many more! and Line Items: Name, Code, Quantity, Description, Date, & many more!
Text & Image Optical Character Recognition (OCR) Datasets to get you going in order to train real-world applications. Can’t find the data you need? Contact Us Today.
5k videos of barcodes with a duration of 30-40 sec from multiple geographies
15.9k images of receipts, invoices, purchase orders in 5 languages i.e. English, French, Spanish, Italian & Dutch
Delivered 45k images of German & UK Invoices
3.5k images of Vehicle License Plates from different angles
Collected and annotated 90K documents in English, French, Spanish, German, Italian, Portuguese and Korean
23.5k docs in Japanese, Russian & Korean languages from Signs, Storefronts, Bottles, Documents, Posters, Flyers.
11.5k+ images of receipt from major European cities
75k+ receipts in multiple languages
Empowering teams to build world-leading AI products.
Dedicated and trained teams:
Highest process efficiency is assured with:
The patented platform offers benefits:
OCR is a technology that allows machines to read printed text and images. It is often used in business applications, such as digitizing documents for storage or processing, and in consumer applications, such as scanning a receipt for expense reimbursement.
The healthcare industry faces a paradigm shift in its workflows with the inception of new and advanced technologies in AI. Leveraging AI tools and technologies, improved medical outcomes can be acquired with higher healthcare efficiency.
Ever scratched your head, amazed at how Google or Alexa seemed to ‘get’ you? Or have you found yourself reading a computer-generated essay that sounds eerily human? You’re not alone. It’s time to pull back the curtain and reveal the secret: Large Language Models, or LLMs.
Let’s discuss your OCR Training Data needs today
OCR refers to a technology that enables computers to recognize and convert printed or handwritten characters in images or scanned documents into machine-encoded text. Machine learning models are often employed to enhance the accuracy and adaptability of OCR systems.
OCR works by using labeled datasets consisting of images of text and their corresponding digital transcriptions. The model is trained to recognize patterns in these images that correspond to specific characters or words. Over time, with enough data and iterative training, the model improves its accuracy in character recognition.
OCR is crucial in ML model training because it allows the model to learn and generalize from diverse textual representations, making it adaptable to various fonts, handwritings, and document types. A well-trained OCR model can handle real-world variances in text, resulting in more accurate text recognition across various applications.
Businesses can leverage OCR (Optical Character Recognition) technology to automate data entry from physical documents, digitize and search paper archives, efficiently process invoices and receipts, automatically extract information from forms, convert scanned PDFs into searchable formats, integrate with mobile apps for on-the-go data capture, and verify and authenticate documents in sectors like banking. Through these applications, OCR helps streamline operations, reduce manual errors, and enhance digital accessibility.
Shaip specializes in extracting data from various healthcare-related receipts, including:
Shaip’s OCR technology streamlines data handling in healthcare, reducing errors and saving time, so healthcare professionals can focus on providing quality care. If you have specific needs, reach out to us for customized solutions!