How do I extract text from an image of my resume?
If you designed a beautiful resume using Canva, Photoshop, or Figma and saved it as an image (JPG, PNG) or a flattened PDF, Applicant Tracking Systems (ATS) will not be able to read it. ATS bots parse raw text, and if they scan an image file, they see a blank page, resulting in an automatic rejection.
Our ATS-Friendly Image to Text Extractor uses advanced Optical Character Recognition (OCR) to scan your image, extract all the typography, and format it into clean, machine-readable plain text. You can then copy and paste this text directly into job application forms.
📄 ATS-Friendly Image to Text Extractor
Did you design your resume as an image or flattened PDF? Applicant Tracking Systems (ATS) will reject it. Extract the raw text instantly so it can be parsed by recruiters.
How to Make Your Graphic Resume ATS-Friendly
Don’t let a beautiful design ruin your chances of landing an interview.
- Upload Your Resume Image: Drag and drop your graphical resume into the upload box. Make sure the image is high-resolution so the text is clear and readable.
- Extract the Text: Click Extract Text from Image. The OCR engine will initialize and begin scanning your document line by line.
- Review and Edit: Once the scan is complete, the raw text will appear in the right-hand panel. The engine automatically strips out confusing columns and excess line breaks to make it ATS-friendly. You can click inside the box to manually correct any typos or organize bullet points.
- Copy or Save: Click Copy to Clipboard to immediately paste your work history into Taleo, Workday, or Greenhouse manual entry fields. Alternatively, click Save .txt to download a plain text file that is perfectly safe to upload directly to any job portal.
Why Image Resumes Fail the ATS Test
Based on data from recruiters and HR professionals, over 70% of resumes are filtered out before a human ever sees them. Here is why graphic resumes fail, and how this tool fixes it.
1. The “Flattened Image” Problem
Many job seekers use modern design tools to create resumes that stand out. However, when these designs are exported, the text is often converted into pixels (a flattened image). When a company’s software scans the file looking for keywords like “Project Management” or “Sales,” it only sees colored pixels, assumes your resume is blank, and trashes your application.
2. The Multi-Column Nightmare
Even if your PDF isn’t entirely flattened, ATS parsers read from left to right, top to bottom. If you have a two-column resume (e.g., Skills on the left, Experience on the right), the parser will read straight across the gap, combining your skills with your job history into a garbled, unreadable mess. By using our text extractor, you can rip the text out and manually organize it into a single, clean column of text.
3. Client-Side Absolute Privacy
Your resume contains highly sensitive Personal Identifiable Information (PII), including your phone number, home address, and employment history. Standard “Free OCR” websites upload your documents to remote servers where they can be stored or read. We engineered this tool using Tesseract.js. This means the complex OCR scanning happens entirely within your computer’s own memory. Your resume never leaves your device, guaranteeing total privacy.
Frequently Asked Questions (FAQ)
Q: Can ATS systems read standard PDFs?
A: Yes, if the PDF is text-based. You can test this by highlighting the text in your PDF. If you can drag your mouse over a paragraph and highlight the words, an ATS can likely read it. If you try to highlight the text and it selects the entire page as a single picture, the ATS will fail, and you need to use our extraction tool.
Q: Does this tool keep my fonts and colors?
A: No, and that is intentional! ATS software strips away all colors, fonts, bolding, and italics anyway. This tool specifically converts your graphical resume into “Plain Text” to ensure maximum compatibility with older, rigid job portals.
Q: Why did the scanner misspell some of my words?
A: Optical Character Recognition relies on clear contrast. If your resume uses a very light grey font on a white background, or uses an incredibly loopy cursive script, the machine may misinterpret the letters. We highly recommend doing a quick visual proofread of the extracted text before pasting it into a job application.