Invoice Image Segmentation & Transcription for Invoice Automation Software

Client's Challenge & Our Solution

A leading AI-powered accounting software company wanted to build an AI-enabled invoice automation model. To prepare a training dataset for that model client had 50,000 B2B invoices, including both printed and handwritten invoices. The client wanted to firstly segment the invoice into various sections (such as customer details, company information, product labels, headers, footers, amount sections, terms and conditions, etc) and then transcribe the text into appropriate categories with over 80 specific labels (e.g., due date, product name, customer name, address, and website)

FutureBeeAI was chosen to execute this complex project, leveraging our in-house image segmentation and transcription tools. Our global crowd community was engaged to perform the detailed tasks of segmenting, transcribing, and labeling the data. We successfully processed the dataset with high accuracy and efficiency within 8-9 weeks, meeting the client's deadline.

Outcome & Features:

Segmented 50,000 B2B invoices into relevant sections, including customer details, product labels, amounts, and terms.

Transcribed invoice sections with over 80 specific labels such as due date, product names, customer details, etc.

Completed the task within 8-9 weeks using our image segmentation tool and crowd workforce, providing high-quality data for AI model training.