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, or Optical Character Recognition, is a technology that converts printed or handwritten text in images or scanned documents into machine-readable text. It works by training AI models with labeled datasets to recognize patterns and characters in diverse formats like receipts, invoices, and forms.
OCR is vital for automating tasks like document processing, data extraction, and digitization. It helps businesses save time, reduce errors, and improve efficiency in handling large volumes of physical or scanned documents.
Machine learning enhances OCR by training models with diverse datasets, enabling them to handle variations in fonts, handwriting styles, layouts, and languages. Over time, the models learn to generalize and improve recognition rates.
OCR can process a wide range of documents such as receipts, invoices, handwritten forms, passports, medical labels, tickets, and even complex tables in scanned PDFs or images.
Table OCR extracts structured data from tables in scanned documents, PDFs, or images. It converts rows and columns into machine-readable formats like Excel, making data processing faster and more accurate.
OCR is widely used in industries like healthcare, finance, and eCommerce. It automates data extraction from medical records, invoices, receipts, and other documents, improving operational efficiency across sectors.
Multilingual OCR models are trained with datasets covering various languages, dialects, and font styles. This allows them to accurately recognize and process text across different scripts and typography.
Training OCR models involves handling diverse handwriting, fonts, layouts, and languages. Ensuring accuracy in recognizing complex documents like medical receipts or multilingual content is also a key challenge.
Shaip offers high-quality, client-specific OCR datasets, including receipts, invoices, handwritten forms, and multilingual documents. These datasets are curated, annotated, and validated to ensure maximum accuracy and reliability.
Shaip’s OCR training solutions are highly scalable and designed to deliver exceptional accuracy. Their process combines advanced AI tools with human expertise, ensuring reliable results even with large datasets.
The cost depends on the type, volume, and complexity of the dataset required. For customized pricing, businesses can contact Shaip directly to discuss their specific needs.
