Automatically extract key information from files and images so teams can onboard data faster and search records more easily.
Strev's AI metadata extraction converts unstructured documents and images into structured, usable data. Instead of manually entering information, Strev uses OCR and ICR to extract key fields and make records searchable from the start.
Extract printed and handwritten text from documents, images, and scanned files.
Identify key fields such as serial numbers, dates, names, and identifiers automatically.
Convert extracted information into organized fields within records.
Make extracted data searchable across the platform for faster retrieval.
Manual data entry slows down operations and introduces errors. AI metadata extraction in Strev reduces effort by capturing and structuring data automatically.
Extract information from invoices, contracts, forms, and supporting files.
Pull data from photos, labels, and scanned asset tags.
Populate records automatically during onboarding or import.
Search based on extracted data instead of relying on file names.
Minimize manual entry mistakes through automated extraction.
Use extraction capabilities across both desktop and mobile workflows.
Use AI to extract, structure, and organize information automatically.
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