AI Training Data For OCR
Optimize data digitization with high-quality Optical Character Recognition (OCR) training data to build intelligent ML models.
Trusted by AI Global Leaders
Reduce the learning curve of AI models with reliable OCR Training Dataset
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.
OCR Use Cases

Freestyle Handwritten
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.

Receipt/Invoice
Datasets consisting of invoice/receipt where several items were purchased collected from different region & in different languages as required for the ML model. Save significant time & money by transcribing key data from invoices & receipts effectively.

Multilingual Document
Multilingual handwritten data collection services for pattern recognition, computer vision, and other machine learning solutions to train Optical Character Recognition models.

Scene Data Collection
Medicine bottle with labels, English Street/Road scene with car license plate, English Street/Road scene with instruction/info board etc.
OCR Datasets
Barcode Scanning Video Dataset
5k videos of barcodes with a duration of 30-40 sec from multiple geographies
- Use Case: Object Recognition Model
- Format: Videos
- Volume: 5,000+
- Annotation: No
Invoices, PO, Receipts Image Dataset
15.9k images of receipts, invoices, purchase orders in 5 languages i.e. English, French, Spanish, Italian & Dutch
- Use Case: Doc. Recognition Model
- Format: Images
- Volume: 15,900+
- Annotation: No
German & UK Invoice Image Dataset
Delivered 45k images of German & UK Invoices
- Use Case: Invoice Recog. Model
- Format: Images
- Volume: 45,000+
- Annotation: No
Vehicle License Plate Dataset
3.5k images of Vehicle License Plates from different angles
- Use Case: No. Plate Recognition
- Format: Images
- Volume: 3,500+
- Annotation: No
Handwritten Document Image Dataset
Collected and annotated 90K documents in English, French, Spanish, German, Italian, Portuguese and Korean
- Use Case: OCR Model
- Format: Images
- Volume: 90,000+
- Annotation: Yes
Document Dataset for OCR
23.5k docs in Japanese, Russian & Korean languages from Signs, Storefronts, Bottles, Documents, Posters, Flyers.
- Use Case: Multilingual OCR Model
- Format: Images
- Volume: 23,500+
- Annotation: Yes
European Receipt Image Dataset
11.5k+ images of receipt from major European cities
- Use Case: Object detection model
- Format: Images
- Volume: 11,500+
- Annotation: No
Invoice/Receipt Dataset
75k+ receipts in multiple languages
- Use Case: Receipt AI Models
- Format: Images
- Volume: 75,000+
- Annotation: No
The Shaip Advantage
Scale
We can source, scale, and deliver audio data from across the world in multiple languages and dialects based on your requirements.
Expertise
We have the right expertise concerning accurate and unbiased data collection, transcription, and gold-standard annotation.
Network
A network of 30,000+ qualified contributors, who can be assigned data collection tasks to build AI training model & scale-up services.
Technology
AI platform with proprietary tools & processes that streamlines collection, task distribution & data capture from the app & web interface.
Quality
Our proprietary platform enabled by skilled workforce use multiple quality control methods to meet or exceed quality standards.
Security
We give utmost importance to data security and privacy and are also certified to handle highly regulated sensitive data.
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