Image Resume OCR
Extract candidate data from image-based resumes.
CVLens validates JPG and PNG uploads, normalizes accepted images within configured limits, and uses English and German OCR before structured parsing.
OCR designed for bounded document processing
Image dimensions and total pixels are inspected before OCR. Accepted images are normalized within the configured OCR dimension and processed through Tesseract with the same overall extraction deadline used by other formats.
From recognized text to normalized fields
OCR output enters the same parser used for text-based documents. When the source contains usable information, the response can include names, contact fields, experience, education, skills, languages, certifications, location, and document language.
Plan for review when image quality varies
Compression artifacts, screenshots, decorative templates, small text, rotated pages, and handwritten additions reduce OCR reliability. Keep warnings visible and provide a human correction path when extracted data feeds important decisions.
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CVLens is currently available through private beta invitations.
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