On June 19, 1865, Union troops arrived in Galveston, Texas, and informed enslaved people that they were free. The moment became known as Juneteenth. But historians still debate countless details about what happened during that period of American history. Not because the records don’t exist. But because many of them are still buried in archives, libraries, courthouses and storage rooms across the country. In fact, much of human history remains surprisingly difficult to access. Millions of handwritten documents, newspapers, letters and government records have never been fully digitized. And even when they have been scanned, the information often remains trapped inside images that computers cannot easily search or understand. For generations, uncovering those records required historians to spend years digging through boxes and filing cabinets. Artificial intelligence may be about to change that. History’s Filing Cabinet For most of the digital age, preserving history has been relatively simple. You scanned or photographed a document, then you uploaded that image to a database and moved on. The problem is that a scanned document isn’t the same thing as a searchable document. Imagine taking a picture of every book in a library. Sure, you’d have preserved the information. But finding a specific sentence would still require someone to sit down and read through all of it. That’s the challenge historians have faced for decades. Libraries, museums and archives have spent years digitizing millions of records. Yet much of that information has remained effectively hidden because computers couldn’t reliably read faded ink, unusual handwriting or centuries-old scripts. That’s beginning to change. Recent advances in handwriting recognition allow AI systems to read many historical documents that traditional software struggles to decipher. Researchers are now using these tools to transcribe letters, government records, newspapers and manuscripts that previously required enormous amounts of manual labor to