Skima AI

The Most Advanced and Accurate AI Resume Parser

PDF, doc, docx or word file (maximum 5 files)

Trusted globally

100+ brandsG2★★★★★4.6
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How Our Resume Parser Algorithm Works?

Our AI resume parser algorithm works in 4 steps

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extract text from any document format
Step 01

Extract Text from Any Document Format

Our resume parser algorithm first identifies and extracts raw text from formats like PDF, Word, and HTML. It uses OCR for image-based files and ensures text accuracy, which is crucial for ATS friendly parsing.

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organize data into logical sections
Step 02

Organize Data into Logical Sections

The extracted text is then organized into sections like work experience, education, skills, and more. The parser's advanced pattern recognition ensures structured segmentation even in varied resume layouts.

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prioritize relevant information using NLP
Step 03

Prioritize Relevant Information Using NLP

Natural Language Processing (NLP) identifies and ranks essential details, filtering keywords and phrases that match job requirements. This prioritization optimizes candidate relevance for recruiters.

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output optimized for ATS systems
Step 04

Output Optimized for ATS Systems

The final structured data is formatted to be ATS-compatible, ensuring easy integration with HR software. This step maximizes candidate visibility and accuracy in ATS filtering.

Why Choose Skima Resume Parser

Our Resume Parser Stand Out

high accuracy at speed

High Accuracy at Speed

Our resume parser extracts 200+ key data points in seconds. You can parse 100,000+ resumes in minutes with unmatched speed and accuracy. Our AI-powered Resume Parser API simplifies resume data.

multiple formats

Multiple Formats

You can parse resumes in PDF, DOC, DOCX, IMG, TXT, HTML or Word format and export them as CSV, JSON, XLS, DOC, or PDF. You can configure our AI Resume Parser API to customize resume export templates.

integrate your ATS

Integrate your ATS

Our resume parser API integrates seamlessly with your HRIS, ATS, and other HR tools. This enables a smooth and automated data flow. Our CV parser helps you hire strategically with accurate and efficient results.

Skima AI vs. Other Platforms - The Competitive Edge

How does Skima Resume Parser stack up against other recruiting solutions like LinkedIn Recruiter, hireEZ, or SeekOut? Here are key differentiators that make Skima the smarter choice

Feature skima logo Other Platforms
Accuracy ~99% accuracy, supports multiple formats 70-88% accuracy, limited formats
Format Support Doc, Docx, PDF, Word, IMG, HTML, TXT Primarily supports PDF, while few others also supports Doc, Docx, HTML, TXT
API Integration Ease Yes Yes
Cost Efficiency Yes No
Customer Support 24/7 Mostly Email and Chatbot based support
Data Security SOC 2 and GDPR compliant Not Complaint

When it comes to resume parsing and candidate matching, Skima AI outperforms traditional competitors by combining advanced AI-driven accuracy, faster processing, and unmatched security. Unlike legacy systems that rely on basic keyword matching, Skima understands context, extracts key insights, and ranks candidates intelligently—helping recruiters make faster, data-driven hiring decisions. Skima Resume Parser has shown proven ROI improvements, reduced time-to-hire, and seamless integration

What recruiting teams achieve with Skima AI

Candidate shortlisting happens faster right inside our ATS. Rediscovery sources from our existing database, which has saved us real sourcing budget and reduced time-to-hire.
Samuel V., Human Resources Manager
The talent rediscovery module makes it easy to find qualified candidates directly inside my BambooHR ATS. I use it daily for matching and engaging candidates while staying compliant.
Yash, Technical Recruiter

Get Started – Join the Future of Recruiting

Ready to transform your talent acquisition strategy? Don’t get left behind in the old way of recruiting. Embrace the power of AI and join the future of recruiting today with Skima AI.

Frequently Asked Questions

Everything you need to know about the product

What is resume parsing?

Resume parsing is an AI-driven process of extracting information from resumes or CVs. The information includes education, experience, skills, contact details, and more. After extraction, the resume parser quickly turns unstructured data into organized fields. This process speeds up candidate filtering by up to 70% and improves hiring efficiency.

How do I parse my resume?

To parse a resume, upload it to a resume parser tool or ATS with parsing capabilities. The tool scans the document, extracts relevant information, and converts it into a structured format. Now, you can download or sync with your ATS, HRM, and other HR tools to easily search and filter.

How does resume parsing work?

Resume parsing uses machine learning and natural language processing to analyze resume text. It identifies patterns to classify data like names, skills, job titles, education, and more. The parsing process takes unstructured information from resumes and organizes it into structured fields. This organized data is then stored in the recruiter's ATS to filter and search for candidates by relevant qualifications.

How does resume parsing help recruiters?

Recruiters can save more than 70% of their time by using a resume parser tool. It speeds up recruitment by automating data extraction, reducing manual entry, and enabling recruiters to search for specific skills or experience. This technology boosts candidate searchability and ATS accuracy. This helps recruiters find qualified candidates faster and hire them sooner.

Is my data secure when using the resume parser?

Yes, your data is extremely secure. Skima AI resume parser is SOC 2 compliant and follows strict security standards. It uses end-to-end encryption and secure storage. This setup protects sensitive candidate information from unauthorized access. So, both recruiters and applicants can be confident in their data privacy.