Text & Document Annotation
Extract structured text from documents and text data
Organize your media with discrete categories
Identify items of interest with one or many bounding boxes
Like bounding boxes, but with additional precision
Transcribe receipts, menus, etc. into structured data
Transcribe text within an image or bounding box
Document Processing Company
Use case: Improve user experience and produce large training datasets capable of augmenting a model that could recognize and reflow elements on a page.
Source data: Document PDFs.
Data labeling type: Classifications, bounding boxes.
Volume: 400K+ fully-labeled pages with 20+ classes, 6.5M+ bounding boxes.
Outcome: The document company has used our data to develop a productionized, high-accuracy, deep learning model. This partnership now spans multiple teams and over 50 unique data labeling projects.
Expense Management Company
Use case: Automate client’s manual process of auditing, tagging, and transcribing receipts.
Source data: Pictures of receipts.
Data labeling type: Bounding boxes, transcriptions, categorizations.
Volume: 8M+ bounding boxes.
Outcome: We deployed a model designed to automatically extract metadata like price, product, and quantity from simple camera phone images of physical receipts. The client successfully deployed the model and integrated it into its existing workflow.
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Ent.AI is short for Enterprise AI. Ent.AI is the de facto leader in the world of Enterprise AI. Whether you need data labeled, models built, or complete end-to-end AI strategy and solutions, Ent.AI is the perfect partner to accelerate your AI strategy.
Phone: (800) 577-2696
Email: [email protected]