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Information used in business processes doesn't always arrive in a structured format.
Invoices, order confirmations, parcel stickers, delivery notes, receipts, and handwritten notes often need to be read and manually entered into business systems before a process can continue. That step slows down workflows and increases the chance of errors.
This is where agentic OCR (Optical Character Recognition) comes in.
OCR is a technology that extracts text and information from documents and images, turning it into structured data that software can work with. While traditional text recognition has been around for a while, with today’s large language model (LLM) capabilities it becomes more powerful — this combination is what we call agentic OCR.
The technology goes far beyond scanning printed documents. For example, Triggre's new OCR agent can extract text and images from complex documents, scanned PDFs, mobile phone photos, and even handwritten notes.
Instead of manually copying information into your systems, the extracted data is uploaded in seconds and can immediately trigger an automated workflow.
Think of agentic OCR as the bridge between paper (or photos) and digital business processes.
Once information has been extracted, it can be used to:
This removes one of the most common manual steps in business operations: data entry.
Many organizations still rely on handwritten information. Service engineers complete inspection forms by hand. Warehouse staff add notes to packing slips. Sales teams jot down customer information after meetings.
These documents often sit outside digital workflows because someone has to retype the information first.
With agentic OCR, handwritten notes can also become part of automated business processes, making it easier to capture information wherever work happens.
OCR can add value in many business processes, including:
Because the extracted information is structured, it can immediately be used by your workflows or other AI agents.
Agentic OCR removes one of the most common bottlenecks in business processes: manually transferring information from documents into business systems.
By extracting structured data from invoices, forms, labels, photos, and handwritten notes, workflows can start automatically and continue without manual intervention, with only outliers or errors checked by people.
