Upload from Computer | Review Extracted Data | Integrate API
“We are using Docsumo’s APIs for automating data capture from bank statements and identity cards while on-boarding customers. It has reduced the time our operations team spends on data entry by manifolds while providing a much better customer experience.”
Since the very beginning everything was fine, they always say “Ask anything even if you need support from our developers. The support for initial user was exceptional, even for small users like me.
Operations Manager, Onerz
“Bringing down the invoice processing time from a few hours to less than 5 minutes with 99%accuracy has been a real-game changer for us. With Docsumo, we have been able to automate invoice processing resulting in lower turnaround time and better customer experience.”
Founder & Managing Partner, ValtaTech
Extract data from ACORD forms and easily monitor insurance coverage with pre-built analytics.
Extract and process data from Aadhaar cards images, even when captured from mobile phones.
Scanning substandard quality driving license images is not a problem anymoredocuments with near 100% accuracy
Onboard customers in real time by capturing data from identity documents with near 100% accuracy
In today’s dynamic business world, filing and archiving official documents in the digital form makes it handy, and works wonders in the future or in unforeseen circumstances.
The traditional supply chain management approach relies heavily on manual work and is time-consuming, error-prone, and expensive. As documentation is an important part of the supply chain that consumes considerable efforts of enterprises in the supply chain workflow, it makes sense to automate the process with the help of intelligent document AI software.
Optical Character Recognition (OCR) is the technology to convert an image of text into machine-readable text. It is the underlying technology for various data extraction solutions including Intelligent Document Processing. However, OCR is not smart enough to figure out the context in a document - it works simply by distinguishing text pixels from the background and finding a pattern. This limitation could cause inaccuracy in captured data that could directly impact the output of your data extraction model.
Accounts payable is a key financial function for any business. Corporations can have thousands of suppliers; even for relatively smaller businesses, the number of suppliers could be in hundreds. All the invoices they receive from these suppliers come in multiple formats, layouts, and templates - some semi-structured, some unstructured. Therefore, firms expend time and resources to capture invoice information through manual data entry and verification of accounts payable. Manual data entry is not feasible in the long run, definitely not on a large scale. Before we talk about how intelligent invoicing solves the problems associated with manual invoicing, let’s discuss the challenges in much detail.
We’d love to show you how you can increase your productivity, process your documents faster and save operations cost!