Capture asset and document data using OCR and ICR so teams onboard information faster and search files more easily.
Image data extraction allows teams to convert images and scanned documents into structured, searchable information. Instead of manually typing data, Strev uses OCR and ICR to extract details from photos, labels, and files, reducing effort and improving accuracy.
Extract printed and handwritten text from images, scans, and uploaded documents.
Automatically pull key fields such as serial numbers, model details, dates, and identifiers.
Make extracted data searchable so teams can find records quickly.
Reduce manual entry and speed up asset and document setup.
Strev’s image data extraction feature supports teams that handle large volumes of assets and documents. As a result, onboarding becomes faster, and information remains easier to find later.
Extract text directly from photos taken in the field or uploaded from devices.
Process scanned documents, PDFs, and images without reformatting.
Map extracted text to asset fields, document metadata, or custom attributes.
Search extracted data across documents instead of relying on file names alone.
Limit data entry mistakes by relying on automated extraction.
Use image data extraction from both the web platform and mobile app.
Use image data extraction to reduce manual work and improve search across assets and documents.
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