Select or drop the files using the 'Upload File' button. It can be a scanned/non-scanned image or a PDF file. Once uploaded the software would take a few seconds to process the file. After getting processed, move forward to the next step.
Once the document is processed, the software would take you to the review screen. In the review screen, you can see the extracted text at the left panel of your screen. If you find an issue with the extracted data, you can correct and fix it right there.
Download the converted file in JSON/Excel/CSV/TXT format. Right after that, the input file is removed from our server.
Organizations often receive crucial information and data in image form of documents. These images can be a photo of a document, scanned document, a scene-photo, or subtitle text superimposed on an image. The real challenge for the operation team is to be able to extract information and data from these photos.
It can take hours to manually pull out this data and assemble it in a structured way for record-keeping and processing. This process is hugely error-prone too. OCR technology comes to rescue in this situation. Optical character recognition or optical character reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text. This technology is suitable for photos of text-heavy documents and printed paper data records such as passports, invoices, bank statements, receipts, business cards, and identity verification documents.
OCR technology is the way of digitizing printed texts so that they can be electronically edited, searched, stored more compactly, displayed on-line, and used in machine processes such as cognitive computing, machine translation, (extracted) text-to-speech, key data and text mining. OCR is still an evolving technology in the field of pattern recognition, artificial intelligence and computer vision. Advanced systems with intelligent OCR technology are capable of producing a high degree of recognition accuracy for most fonts, and with support for a variety of digital image file format inputs. Some systems can reproduce formatted output that closely approximates the original document including images, columns, and other non-textual components as well. Enterprises often receive crucial information in scanned and non-scanned image form. Identity documents, compliance documents, bank statements, invoices, and receipts are a few to name. Most of these are manually processed which takes time and is error-prone. Normal image-viewing applications don’t allow you to extract this unstructured data from images. With Docsumo’s free OCR tool, you can accurately extract data from any image in any layout without manual setup. Our deep learning data extraction technology immensely reduces manual errors and saves an accountant countless hours every month.
We’d love to show you how you can increase your productivity, process your documents faster and save operations cost!