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Resume OCR API to extract resume data automatically

Extract structured candidate data from resumes and CVs — including contact details, experience, education, and skills — using a production-ready Resume OCR API.

Test a resume

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v2-Carlabella
v2-Spendesk
v2 Payfit
v2 Lucca
v2 Circula

Resume OCR API to extract resume data automatically

High-accuracy resume OCR

Extract text from PDF, DOC, and scanned resumes using an OCR engine designed for real-world CV formats.Handles modern layouts, columns, and varied formatting.

Structured resume data extraction

Candidate name & contact details, work experience & job titles, companies & employment dates, education & degrees, skills & certifications,. Ready for ATS and HR platforms.

Layout-aware resume parsing

Handle multi-column resumes, headers, footers, and section variations without templates.Built to adapt to real candidate resumes — not ideal samples.

Confidence scores for resume fields

Every extracted field includes a confidence score so you can: validate candidate data, flag ambiguous fields, reduce manual review. Reliable parsing at scale

Developer-first Resume OCR API

Simple REST API, clear documentation, SDKs, no -code tools, and predictable pricing. Integrate Resume OCR in minutes — deploy in production with confidence.

Upload a resume

No credit card required

How does Mindee work?

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Most advanced AI OCR features getting your document extraction to the next level

Our AI-driven OCR API provides high-precision data extraction for all document formats, enabling businesses to automate workflows with speed and total reliability.

Accelerate processing by automatically breaking multi-page uploads into separate documents. Our solution detects document boundaries to split batches into distinct records ready for extraction.

Automate your workflow by sorting incoming documents instantly. Mindee OCR API distinguishes between document types, routing each file to its specific category for streamlined data management.

Digitize multiple documents scanned on a single page with automated detection. Mindee OCR API isolates and crops each item into a standalone file, ensuring every record is processed individually.

More than just an API. Refine, test and customize.

Custom your model from scratch or start with a template among 30+ on Mindee interface

Build customizable extraction models with interactive data schemas.

Multi-language support

Parse your document in every languages.

Upload docs in any formats

Add .pdf, .jpg, .png, .docx, .xlsx, ... and more. No time spent to convert.

Integrate Mindee into your worklow in minutes

SDKs and low-code tools supported.

Your data is protected

EU hosting available

GDPR, CCPA Compliant

Exclusive features  about Mindee for power‑users

confidence score ui

Add-ON

Confidence scores

Keep an eye on AI work with labels

Add-ON

Polygons

Highlight your variables for better understanding, before & after extraction

Add-ON

RAG

Build your own documents library to enrich your model and manage edgecases

Start extracting resume data today

14 day free-trial

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Get started with Mindee API

FAQ to know more about Mindee

Resume OCR : 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.

Resume OCR : 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 : 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 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.

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.

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.