Optimize your OCR AI models with Sapien’s OCR annotation services for high-performance text extraction and recognition from images
In collaboration with Datavolo, Sapien processed document data to identify and structure distinct sections within internal documentation. This data supports OCR models in accurately recognizing and categorizing text, enabling seamless data extraction from scanned documents, forms, and records.
Training OCR models requires precise labeling of text from images and documents. Complex layouts, multi-language texts, and handwritten data make manual labeling challenging and time-consuming.
Sapien’s data labeling services streamline this process with OCR annotation for accurate text detection and extraction for OCR AI models.
Use optical character recognition data labeling services for document scanning, digital archiving, or automated data entry, with high-quality labeled data from Sapien.
Our team has deep expertise in labeling data for a wide range of optical character recognition applications, including multi-language text, handwritten content, and complex document layouts
Each project is customized to OCR needs so your models are trained with the right data for your use case
Our HITL and automated quality assurance processes guarantee the reliability and accuracy of your labeled data, even in complex or noisy image environments
Our decentralized global network of skilled labelers and gamified platform can scale to handle large data labeling projects for accurate datasets
We build custom labeling modules and tools to label and segment text in various image formats, improving OCR precision and speed
Schedule a consult with our team to learn how Sapien’s data labeling services can optimize your OCR projects