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Most file libraries have the same problem: nobody tags anything. Tagging by hand is slow and boring, so files end up with names like IMG_4382.jpg and no description at all." P2: "AI auto tagging fixes this. AI looks inside each file, at the objects in a photo, the words in a PDF, and the speech in a video, and adds tags automatically. This automated metadata tagging is what makes fast AI file search possible.
When you upload a file, AI models analyze its content. (1) Images: computer vision identifies objects, scenes, colors, text, logos, and faces. (2) Documents: OCR reads the text, even in scanned PDFs, and AI pulls out key details like client names and dates. (3) Video and audio: speech-to-text creates a transcript, and AI tags scenes frame by frame. The results are saved as searchable metadata on each file. For example, if you have a folder called "Documents" and you want to automatically label all of the files inside of it with the correct file name and extension, you can use auto-tagging.
Upload a product photo, and AI might add these tags: 'running shoe,' 'red,' 'outdoor,' 'trail,' 'woman,' 'sunset,' 'brand logo.' Nobody typed a word. Now anyone can find it by searching 'red trail shoes outdoors.'" Show a screenshot from ioAI here if you have one.
Many people are unaware that AI cognitive engines can be used to improve the search of their files. By using these engines, you can automatically tag your files with specific information, such as file type, author, and time, making it easier to find and access your files. For example, if you're looking for a file that was created on Monday morning, you can use an AI cognitive engine to automatically tag the file as being of type "document," being authored by "Megan," and having been created at 12:00 PM on Monday. When you search for the file, you can use any one of those tags to find the file. Another benefit of using AI cognitive engines is that they can save you time. For example, if you have a lot of documents that need to be tagged but don't have the time to do it yourself, you can use an AI cognitive engine to do it for you. This will save you a lot of time in the long run because it will take less time for the AI cognitive engine to complete the task than it would for you to do it yourself. In recent years, AI tagging has improved significantly, with AI now able to tag not only details like the time the file was uploaded and who uploaded it but also analyze the file itself for specific details that you can search for using natural language search. AI cognitive engines can read Word documents, locate words in PDFs, and even tag audio recordings and recognize faces in videos. There are a variety of new tools AI cognitive engines like ioMoVo's AI Engine can provide, including:
Audio fingerprinting identifies a specific piece of audio, such as a song, jingle, or ad, by its unique sound pattern. Media teams use it to find every video that uses a licensed music track, which helps avoid rights violations.
Face recognition finds the same person across thousands of photos and videos. Search 'CEO' and see every event photo and interview clip they appear in. Admins control who can use this feature, and it can be turned off where privacy rules require it.
Speaker recognition identifies who is talking in a recording and labels the transcript by speaker. You can search for every time a specific executive spoke in your meeting recordings or webinars.
AI engines have the power to detect logos and identify images in digital files. The technology can be used to help users search for specific files or to identify files that have been filed in a particular way. Logo detection finds brand logos in images and video, both yours and your partners'. Marketing teams use it to find every photo where a sponsor's logo appears, or to check that old logos aren't still being used.
Let AI tag first, then have people review your most important assets. (2) Add a custom vocabulary so the AI uses your product names. (3) Combine AI tags with a few required fields like campaign and usage rights. (4) Check tag quality every quarter and fix common mistakes. Link to the metadata best practices post.
There are many advantages to using artificial intelligence (AI) to automatically tag and categorize files in a digital environment, including:
AI is very good at common objects and text, but it can miss niche products, internal project names, or context like 'approved for social.' That's why the best setup is AI tags plus a few human-entered fields.
Also Read: Video Asset Management: Auto Generate Closed Captions And Subtitles For Your Videos
AI tagging specifically tags your files, making sure you can quickly and easily find the information you need. This is especially helpful if you have a large file collection and want to quickly find a specific document. If you're looking for a more advanced search option for your files, ioMoVo’s AI Tagging feature is a great choice. To learn more about how AI Tagging can help you improve how you archive and access your files every day, book a consultation with our expert team today.
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