{"id":7789,"date":"2025-03-13T10:35:56","date_gmt":"2025-03-13T16:35:56","guid":{"rendered":"https:\/\/idsinc.com\/?p=7789"},"modified":"2026-03-05T17:18:09","modified_gmt":"2026-03-05T23:18:09","slug":"optical-character-recognition","status":"publish","type":"post","link":"https:\/\/idsinc.com\/en_gb\/optical-character-recognition\/","title":{"rendered":"The CASE FOR MODERN Optical Character Recognition"},"content":{"rendered":"\n\n\n

Why Traditional OCR Falls Short<\/strong><\/h3>\n\n\n\n

OCR (Optical Character Recognition) has been a standard component in eDiscovery workflows for years, (in)consistently turning scanned documents and images into searchable text. We\u2019ve grown so accustomed to OCR\u2019s quirks and limitations that it\u2019s easy to overlook.But here\u2019s the catch: traditional OCR hasn\u2019t kept pace with the demands of today\u2019s fast-moving, data-driven world.<\/p>\n\n\n\n

Legacy OCR tools come with strings attached\u2014clear scans, perfect formatting, and lots of patience. Typed text must be clear and legible, while handwritten content often vanishes into the void, either poorly transcribed or missed altogether. Throw in a mix of both, and accuracy plummets. Worse still, these outdated tools take ages to process large datasets, sometimes requiring weeks to complete. And when it comes to advanced features like entity extraction or contextual analysis, traditional OCR simply isn\u2019t equipped to handle the job, slowing you down or leaving data on the table.<\/p>\n\n\n\n

Modern OCR: Speed + Accuracy<\/strong><\/h3>\n\n\n\n

Modern OCR rewrites the rules. At iDS, we\u2019ve reimagined what\u2019s possible, solving the inefficiencies of outdated methods with tools designed for the pace of today.<\/p>\n\n\n\n

Start with speed: In one case, we processed over 12 terabytes of data\u2014more than 20 million pages\u2014in under three days. That\u2019s not just fast. That\u2019s turning insights into action while others are still waiting for the progress bar to move.<\/p>\n\n\n\n

Then there\u2019s quality. Modern OCR handles faded scans and skewed documents with ease. It reads handwritten notes alongside typed text, transforming imperfect inputs into searchable, actionable data. That blend of accuracy and adaptability sets a new standard.<\/p>\n\n\n\n

And it doesn\u2019t stop there. Modern OCR moves beyond recognition to deliver transformation. Features like entity extraction and form recognition provide valuable context, turning raw text into meaningful insights. It\u2019s not just about retrieving data\u2014it\u2019s about making sense of it.<\/p>\n\n\n\n