Resume OCR

Our AI-powered API extracts all applicant’s data points, including work experiences, education, and more

Our Resume OCR Solution

Powered by advanced AI and designed for real-world business needs, our Resume OCR solution delivers unmatched accuracy and efficiency.

Extract key candidate information

Capture full name, email, phone number, LinkedIn, GitHub, and more in one pass.

Parse experience, education & skills

Identify past roles, schools, degrees, certifications, and both hard and soft skills.

Supports diverse resume layouts

Works with minimal, modern, and graphically designed resumes without configuration.

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Elevate Your resume Capabilities

Designed for software integration:

Plug-and-play REST API

Integrate in minutes with support for JSON responses, field mapping, and confidence scores.

Works with PDFs, DOCX, and scanned files

Resume data is extracted regardless of file type or formatting.

Semantic structure for profiles

Group information into categories—personal info, education, experience, skills, and links.

Ready for global use

Supports multilingual resumes and diverse international education/job formats.

Boost efficiency across your recruitment funnel with reliable resume parsing:

  • Capture resumes in any format
  • Extract structured candidate data
  • Standardize resume fields for comparison
  • Match profiles to job criteria
  • Filter candidates by skills or experience
  • Send structured data to your ATS or CRM

Explore Integration Options

Streamline Operations and Boost Efficiency

Transform your workflow with:

Upload or import resumes

Candidates upload files directly via UI or recruiters drag them into your system.

Get instant field-level output

Receive name, title, contact, and profile sections in one clean response.

Normalize resumes automatically

Remove layout variability and produce recruiter-friendly profiles from any design.

Feed profiles into recruiting systems

Push results into your ATS, CRM, or job board for downstream filtering or analysis.

  • Capture resumes in any format
  • Extract structured candidate data
  • Standardize resume fields for comparison
  • Match profiles to job criteria
  • Filter candidates by skills or experience
  • Send structured data to your ATS or CRM

Why Choose Our Resume OCR Solution

High accuracy from day one

Mindee is trained on thousands of real-world resumes—no manual setup required.

Ready-to-use in any HR stack

Use in applicant tracking systems, career portals, staffing tools, or internal HR apps.

Optimized for speed and scale

Parse thousands of resumes per hour with low-latency responses.

Designed with recruiters in mind

Field outputs match the needs of real hiring workflows—no guesswork.

Confidence-based output

Highlight fields with lower certainty to prompt quick review.

Secure & compliant

SOC 2 Type II, GDPR-compliant, and built for processing sensitive personal data.

Ready to Transform Your Document Processing?

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Start automating your fraud workflow today. Get started with a free trial or schedule a demo to learn more.

Frequently Asked Questions

Common questions about our intelligent document processing solutions.

How can I test the resume OCR API?

Our resume API is free to use and available to any user having an account on our platform.

To test our APIs, you only have to create a free account using this link, and you'll be able to drag and drop resumes in the live interface to see the data extracted in real-time and JSON response. A demo page is also available here.

Is Mindee's resume OCR API free to use?

A free plan is available to everyone and allows you to perform 250 resumes processing per month for free. No credit card is required.

Above 250 resumes per month, the price per resume processed starts at $0.10 and can decrease to $0.01 per resume depending on the monthly volume. See the pricing page for more information.

Resume OCR : What are the supported countries?

What are the supported countries?

Our resume OCR API is based on our computer vision technology that doesn't rely on text to extract the resume data, but only on the image. This removes the language limitations.

The OCR was trained with resume  from more than 50 countries and works on resume from all around the world for numeric fields, and all Latin alphabet countries for text ones.

Resume OCR : How complicated is it to integrate the API?

How complicated is it to integrate the API?

Mindee's API follows HTTP standards in order to allow any developer to integrate the resume  OCR API into their applications easily.

We also offer a set of client libraries in all the main back-end languages, and an open-source UI toolkit that helps create front-end features. You can check out our open-source repository or our API documentation for more details.

Resume OCR : What is the OCR accuracy?

What is the OCR accuracy?

Our resume OCR's accuracy is above 90%, with precision above 95% for most of the fields. These performances are computed on a data set including more than 50 countries.

Testing our OCR API is free, all you need is an account. Feel free to drop resumes in the live interface to see the OCR performance on your data.

Resume OCR : What's the average API response time?

What's the average API response time?

The processing time is around 1.3 seconds per page for pdfs and 0.9 seconds for a resume image.

We often improve this processing time and our target is below 500ms. Our goal is to make sure you can create real-time user experiences in your application.

Receipt OCR : Does the OCR work on low-quality images?

Does the OCR work on low-quality images?

Yes, the OCR was trained on a lot of receipts from a wide variety of layouts and image quality and learned to process the most complex ones.

We also use data augmentation to make sure that no blur or ink stains prevent the OCR from reading the data as long as it's readable.

Do you offer technical support?

We have a Slack community where you can ask your questions and chat with our team.

We don't do the integration in your infrastructure ourselves but we can set up a custom level of support on a per-case basis if needed.