Lower Process Costs with Efficient Digital Documents
Repositories full of documents from scanners, mobile devices, email, and faxes are costly to manage and difficult for employees to navigate. Image documents from scanners have bloated file sizes and the information they contain is not readable by machines. By using OCR to convert scanned documents to searchable and indexable PDF, your organization can replace man-hours spent looking for important data each year with simple, instant keyword search. In addition, compressing the image documents in your repository can reduce server and cloud storage costs by over 50% without compromising image quality.
According to AIIM1, the amount of inbound born-digital content (like emails and Microsoft Office documents) is increasing for 73% of businesses surveyed. Because born-digital files have existing text layers and attributes like metadata and bookmarks, it’s important to process them differently than image documents to preserve that data. Unfortunately, many conversion solutions today require additional coding, professional services engagements, or ignore the fact altogether, leading to lost data and increased manual processing costs to address exceptions. Right out of the box, however, Foxit’s PDF Compressor auto-detects born-digital files to avoid these added costs and support efficient backfile conversion for mixed content repositories.
With the rise of mixed paper and digital inbound communications, repositories fill up quickly with scanned TIFFs, JPGs, PNGs, emails, Word docs, PDFs, and more. By standardizing these inputs to optimized PDF, your organization can further minimize costs associated with supporting all of those different file readers and editors. Converting your archives to one standard format also makes information search and navigation much quicker and easier for your staff.