Scanned Documents Slipping Through Your System?
Automatically extract text from images with Textkernel’s Optical Character Recognition Parsing Feature
Enable seamless text extraction from image-based files with integrated image parsing, allowing users to easily upload and parse resumes in any format—whether it’s a scan, a photo, or a PDF.
YOU CAN’T ALWAYS CONTROL THE TYPES OF FILES CANDIDATES SEND, BUT YOU CAN CONTROL IF THAT DATA IS EXTRACTED
Enhance your candidate data capture process by enabling users to effortlessly upload resume images.
Textkernel’s Optical Character Recognition (OCR) technology ensures that scanned or photographed documents are automatically detected and converted into text, so that the text can be parsed. It automatically activates only when necessary, minimizing processing time and optimizing efficiency.
With Textkernel’s OCR Parsing, you ensure no potential candidate is missed.
Textkernel parses 2 billion + resumes and job postings yearly in up to 25 languages, up to 70+ document file formats based on a 50+ field data model
BETTER DATA QUALITY
Capture more accurate candidate data overall by reducing the number of unparsable documents.
INCREASED FILE TYPE SUPPORT
Allow users to easily upload and parse resumes in any format—whether it’s a scan, a photo, or a PDF.
IMPROVED DOCUMENT PARSING ACCURACY AND EFFICIENCY
Faster, more accurate parsing of resumes, reducing manual work.
LARGER CANDIDATE POOL
Ensure no candidate is missed, capturing more candidates at the top of the recruitment funnel.
EXPANDED PARSING CAPABILITIES
Expanding your parsing capabilities with support for image-based files, catering to diverse user preference.
ENHANCED CANDIDATE EXPERIENCE
Allow candidates to submit resumes in any format, whether scans or images, ensuring a smooth application process for everyone.
Increased file type support means fewer candidate drop-offs, and larger top-funnel candidates pool.
Now, candidates can snap a quick photo of their resumes, or staffing agencies can provide scanned documents.
“Textkernel’s Parser has never failed us”
Joe Miliziano, Chief Operating Officer, Harri
“The quality of the parsing is hugely important. If we can’t parse, and do so well, it requires extra work for the manager. We’re committed to a great user experience, and to making hiring managers more efficient. Textkernel’s solution has never failed us.”
