Extract Text from Resume — Resume OCR Online
Screening candidates means reading 50 resumes, and scanned resumes make it slower — no text layer, no search, no parsing into your ATS. Upload the stack and OCR converts each one into clean text: names, dates, employers and skills extract cleanly, ready to search, filter or paste into your tracking sheet.
Example result
Sample extraction — resume sections to text
| Section | Extracted text |
|---|---|
| Name | Priya Sharma |
| Experience | Senior PM @ TechNova (2021-present) |
| Education | MBA, University of Michigan |
| Skills | Product strategy, SQL, A/B testing |
| Languages | English, Hindi, Spanish |
How it works
- 1Upload your file or scan — PDF, photo, or screenshot.
- 2Our AI reads and extracts the content in seconds.
- 3Download, copy, or export to the format you need.
Frequently asked questions
Can it read resumes with two-column layouts?
Yes — layout-aware OCR keeps columns in reading order instead of scrambling them, so a skills sidebar and experience column stay separate and readable.
Does it work with ATS formats?
The output is clean plain text or Markdown — exactly what ATS systems parse. If you're feeding resumes into an ATS, extract to text first, then import the text rather than the image PDF.
Can I batch-process many resumes?
Yes — paid plans handle up to 200 pages per file. A folder of 50 one-page resumes converts in two uploads, each becoming its own text document.
What about resumes in other languages?
47 languages are supported, including CJK and Cyrillic scripts — relevant if you hire internationally or screen multilingual candidates.
Supported files & languages
Works with PDF, PNG, JPG, JPEG, WebP, DOCX and XLSX files up to 200MB. Recognizes 47 languages including English, Spanish, Portuguese, Japanese, Korean, Chinese and Arabic. No software to install.